[{"_id":"39976","date_updated":"2023-01-25T11:50:56Z","type":"journal_article","citation":{"chicago":"Janicki, Nicole, and Claudia Tenberge. “Technology Education in Elementary School Using the Example of ‘learning Robots’ – Development and Evaluation of an in-Service Teacher Training Concept.” Australasian Journal of Technology Education, n.d.","ama":"Janicki N, Tenberge C. Technology education in elementary school using the example of “learning robots” – development and evaluation of an in-service teacher training concept. Australasian Journal of Technology Education.","apa":"Janicki, N., & Tenberge, C. (n.d.). Technology education in elementary school using the example of “learning robots” – development and evaluation of an in-service teacher training concept. Australasian Journal of Technology Education.","mla":"Janicki, Nicole, and Claudia Tenberge. “Technology Education in Elementary School Using the Example of ‘learning Robots’ – Development and Evaluation of an in-Service Teacher Training Concept.” Australasian Journal of Technology Education.","bibtex":"@article{Janicki_Tenberge, title={Technology education in elementary school using the example of “learning robots” – development and evaluation of an in-service teacher training concept}, journal={Australasian Journal of Technology Education}, author={Janicki, Nicole and Tenberge, Claudia} }","short":"N. Janicki, C. Tenberge, Australasian Journal of Technology Education (n.d.).","ieee":"N. Janicki and C. Tenberge, “Technology education in elementary school using the example of ‘learning robots’ – development and evaluation of an in-service teacher training concept,” Australasian Journal of Technology Education."},"year":"2023","language":[{"iso":"eng"}],"title":"Technology education in elementary school using the example of 'learning robots' – development and evaluation of an in-service teacher training concept","user_id":"50915","publication":"Australasian Journal of Technology Education","keyword":["technology education","teacher professionalisation","Computational Thinking","digitalization","learning robots"],"department":[{"_id":"588"}],"author":[{"full_name":"Janicki, Nicole","first_name":"Nicole","id":"50915","last_name":"Janicki"},{"last_name":"Tenberge","full_name":"Tenberge, Claudia","first_name":"Claudia"}],"publication_status":"accepted","date_created":"2023-01-25T11:50:07Z","status":"public"},{"place":"Hannover","title":"Student Teachers ’ Knowledge of Congruence before a University Course on Geometry","department":[{"_id":"97"}],"publication_status":"published","editor":[{"last_name":"Trigueros","full_name":"Trigueros, Marı́a","first_name":"Marı́a"},{"last_name":"Barquero","full_name":"Barquero, Berta","first_name":"Berta"},{"full_name":"Hochmuth, Reinhard","first_name":"Reinhard","last_name":"Hochmuth"},{"full_name":"Peters, Jana","first_name":"Jana","last_name":"Peters"}],"date_updated":"2023-03-25T10:11:35Z","oa":"1","language":[{"iso":"eng"}],"user_id":"32202","ddc":["370","510"],"file":[{"file_name":"HoffmannBiehler2022_indrum_congruence.pdf","date_created":"2023-03-25T10:01:03Z","access_level":"closed","creator":"maxh","file_id":"43096","file_size":201942,"relation":"main_file","success":1,"date_updated":"2023-03-25T10:01:03Z","content_type":"application/pdf"}],"publication":"Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)","keyword":["Teaching and learning of specific topics in university mathematics","Transition to","across and from university mathematics","Student Teachers","Geometry","Congruence","Double Discontinuity."],"file_date_updated":"2023-03-25T10:01:03Z","author":[{"last_name":"Hoffmann","id":"32202","first_name":"Max","full_name":"Hoffmann, Max","orcid":"0000-0002-6964-7123"},{"full_name":"Biehler, Rolf","first_name":"Rolf","id":"16274","last_name":"Biehler"}],"publisher":"University of Hannover and INDRUM.","quality_controlled":"1","date_created":"2022-06-12T11:07:34Z","has_accepted_license":"1","status":"public","_id":"31849","main_file_link":[{"url":"https://hal.univ-reims.fr/INDRUM2022/","open_access":"1"}],"citation":{"bibtex":"@inproceedings{Hoffmann_Biehler_2023, place={Hannover}, title={Student Teachers ’ Knowledge of Congruence before a University Course on Geometry}, booktitle={Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)}, publisher={University of Hannover and INDRUM.}, author={Hoffmann, Max and Biehler, Rolf}, editor={Trigueros, Marı́a and Barquero, Berta and Hochmuth, Reinhard and Peters, Jana}, year={2023} }","mla":"Hoffmann, Max, and Rolf Biehler. “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry.” Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), edited by Marı́a Trigueros et al., University of Hannover and INDRUM., 2023.","chicago":"Hoffmann, Max, and Rolf Biehler. “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry.” In Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), edited by Marı́a Trigueros, Berta Barquero, Reinhard Hochmuth, and Jana Peters. Hannover: University of Hannover and INDRUM., 2023.","ama":"Hoffmann M, Biehler R. Student Teachers ’ Knowledge of Congruence before a University Course on Geometry. In: Trigueros M, Barquero B, Hochmuth R, Peters J, eds. Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022). University of Hannover and INDRUM.; 2023.","apa":"Hoffmann, M., & Biehler, R. (2023). Student Teachers ’ Knowledge of Congruence before a University Course on Geometry. In M. Trigueros, B. Barquero, R. Hochmuth, & J. Peters (Eds.), Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022). University of Hannover and INDRUM.","ieee":"M. Hoffmann and R. Biehler, “Student Teachers ’ Knowledge of Congruence before a University Course on Geometry,” in Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), 2023.","short":"M. Hoffmann, R. Biehler, in: M. Trigueros, B. Barquero, R. Hochmuth, J. Peters (Eds.), Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022), University of Hannover and INDRUM., Hannover, 2023."},"type":"conference","year":"2023"},{"_id":"45299","main_file_link":[{"url":"https://www.tandfonline.com/doi/full/10.1080/12460125.2023.2207268"}],"year":"2023","type":"journal_article","citation":{"ieee":"J.-P. Kucklick, “HIEF: a holistic interpretability and explainability framework,” Journal of Decision Systems, pp. 1–41, 2023, doi: 10.1080/12460125.2023.2207268.","short":"J.-P. Kucklick, Journal of Decision Systems (2023) 1–41.","bibtex":"@article{Kucklick_2023, title={HIEF: a holistic interpretability and explainability framework}, DOI={10.1080/12460125.2023.2207268}, journal={Journal of Decision Systems}, publisher={Taylor & Francis}, author={Kucklick, Jan-Peter}, year={2023}, pages={1–41} }","mla":"Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.” Journal of Decision Systems, Taylor & Francis, 2023, pp. 1–41, doi:10.1080/12460125.2023.2207268.","chicago":"Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.” Journal of Decision Systems, 2023, 1–41. https://doi.org/10.1080/12460125.2023.2207268.","apa":"Kucklick, J.-P. (2023). HIEF: a holistic interpretability and explainability framework. Journal of Decision Systems, 1–41. https://doi.org/10.1080/12460125.2023.2207268","ama":"Kucklick J-P. HIEF: a holistic interpretability and explainability framework. Journal of Decision Systems. Published online 2023:1-41. doi:10.1080/12460125.2023.2207268"},"page":"1-41","abstract":[{"lang":"eng","text":"Many applications are driven by Machine Learning (ML) today. While complex ML models lead to an accurate prediction, their inner decision-making is obfuscated. However, especially for high-stakes decisions, interpretability and explainability of the model are necessary. Therefore, we develop a holistic interpretability and explainability framework (HIEF) to objectively describe and evaluate an intelligent system’s explainable AI (XAI) capacities. This guides data scientists to create more transparent models. To evaluate our framework, we analyse 50 real estate appraisal papers to ensure the robustness of HIEF. Additionally, we identify six typical types of intelligent systems, so-called archetypes, which range from explanatory to predictive, and demonstrate how researchers can use the framework to identify blind-spot topics in their domain. Finally, regarding comprehensiveness, we used a random sample of six intelligent systems and conducted an applicability check to provide external validity."}],"user_id":"77066","author":[{"last_name":"Kucklick","id":"77066","first_name":"Jan-Peter","full_name":"Kucklick, Jan-Peter"}],"publisher":"Taylor & Francis","keyword":["Explainable AI (XAI)","machine learning","interpretability","real estate appraisal","framework","taxonomy"],"publication":"Journal of Decision Systems","status":"public","date_created":"2023-05-26T05:04:45Z","date_updated":"2023-05-26T05:08:36Z","doi":"10.1080/12460125.2023.2207268","language":[{"iso":"eng"}],"title":"HIEF: a holistic interpretability and explainability framework","department":[{"_id":"195"},{"_id":"196"}],"publication_identifier":{"issn":["1246-0125","2116-7052"]},"publication_status":"published"},{"oa":"1","doi":"https://doi.org/10.1007/978-3-031-33455-9_13","date_updated":"2023-07-02T18:10:02Z","language":[{"iso":"eng"}],"title":"Neural Class Expression Synthesis","external_id":{"unknown":["https://link.springer.com/chapter/10.1007/978-3-031-33455-9_13"]},"project":[{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"},{"grant_number":"101070305","name":"ENEXA: Efficient Explainable Learning on Knowledge Graphs","_id":"407"},{"_id":"285","name":"SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems","grant_number":"NW21-059D"}],"editor":[{"first_name":"Catia","full_name":"Pesquita, Catia","last_name":"Pesquita"},{"last_name":"Jimenez-Ruiz","first_name":"Ernesto","full_name":"Jimenez-Ruiz, Ernesto"},{"first_name":"Jamie","full_name":"McCusker, Jamie","last_name":"McCusker"},{"last_name":"Faria","first_name":"Daniel","full_name":"Faria, Daniel"},{"last_name":"Dragoni","full_name":"Dragoni, Mauro","first_name":"Mauro"},{"full_name":"Dimou, Anastasia","first_name":"Anastasia","last_name":"Dimou"},{"full_name":"Troncy, Raphael","first_name":"Raphael","last_name":"Troncy"},{"last_name":"Hertling","first_name":"Sven","full_name":"Hertling, Sven"}],"publication_identifier":{"unknown":["978-3-031-33455-9"]},"publication_status":"published","department":[{"_id":"574"},{"_id":"760"}],"intvolume":" 13870","_id":"33734","conference":{"name":"20th Extended Semantic Web Conference","start_date":"2023-05-28","location":"Hersonissos, Crete, Greece","end_date":"2023-06-01"},"type":"conference","citation":{"mla":"KOUAGOU, N’Dah Jean, et al. “Neural Class Expression Synthesis.” The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), edited by Catia Pesquita et al., vol. 13870, Springer International Publishing, 2023, pp. 209–26, doi:https://doi.org/10.1007/978-3-031-33455-9_13.","bibtex":"@inproceedings{KOUAGOU_Heindorf_Demir_Ngonga Ngomo_2023, title={Neural Class Expression Synthesis}, volume={13870}, DOI={https://doi.org/10.1007/978-3-031-33455-9_13}, booktitle={The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)}, publisher={Springer International Publishing}, author={KOUAGOU, N’Dah Jean and Heindorf, Stefan and Demir, Caglar and Ngonga Ngomo, Axel-Cyrille}, editor={Pesquita, Catia and Jimenez-Ruiz, Ernesto and McCusker, Jamie and Faria, Daniel and Dragoni, Mauro and Dimou, Anastasia and Troncy, Raphael and Hertling, Sven}, year={2023}, pages={209–226} }","chicago":"KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis.” In The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), edited by Catia Pesquita, Ernesto Jimenez-Ruiz, Jamie McCusker, Daniel Faria, Mauro Dragoni, Anastasia Dimou, Raphael Troncy, and Sven Hertling, 13870:209–26. Springer International Publishing, 2023. https://doi.org/10.1007/978-3-031-33455-9_13.","apa":"KOUAGOU, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis. In C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, & S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023) (Vol. 13870, pp. 209–226). Springer International Publishing. https://doi.org/10.1007/978-3-031-33455-9_13","ama":"KOUAGOU NJ, Heindorf S, Demir C, Ngonga Ngomo A-C. Neural Class Expression Synthesis. In: Pesquita C, Jimenez-Ruiz E, McCusker J, et al., eds. The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023). Vol 13870. Springer International Publishing; 2023:209-226. doi:https://doi.org/10.1007/978-3-031-33455-9_13","ieee":"N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis,” in The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Hersonissos, Crete, Greece, 2023, vol. 13870, pp. 209–226, doi: https://doi.org/10.1007/978-3-031-33455-9_13.","short":"N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Springer International Publishing, 2023, pp. 209–226."},"year":"2023","page":"209 - 226","main_file_link":[{"url":"https://2023.eswc-conferences.org/wp-content/uploads/2023/05/paper_Kouagou_2023_Neural.pdf","open_access":"1"}],"user_id":"11871","abstract":[{"lang":"eng","text":"Many applications require explainable node classification in knowledge graphs. Towards this end, a popular ``white-box'' approach is class expression learning: Given sets of positive and negative nodes, class expressions in description logics are learned that separate positive from negative nodes. Most existing approaches are search-based approaches generating many candidate class expressions and selecting the best one. However, they often take a long time to find suitable class expressions. In this paper, we cast class expression learning as a translation problem and propose a new family of class expression learning approaches which we dub neural class expression synthesizers. Training examples are ``translated'' into class expressions in a fashion akin to machine translation. Consequently, our synthesizers are not subject to the runtime limitations of search-based approaches. We study three instances of this novel family of approaches based on LSTMs, GRUs, and set transformers, respectively. An evaluation of our approach on four benchmark datasets suggests that it can effectively synthesize high-quality class expressions with respect to the input examples in approximately one second on average. Moreover, a comparison to state-of-the-art approaches suggests that we achieve better F-measures on large datasets. For reproducibility purposes, we provide our implementation as well as pretrained models in our public GitHub repository at https://github.com/dice-group/NeuralClassExpressionSynthesis"}],"status":"public","date_created":"2022-10-15T19:20:11Z","volume":13870,"publisher":"Springer International Publishing","author":[{"last_name":"KOUAGOU","id":"87189","first_name":"N'Dah Jean","full_name":"KOUAGOU, N'Dah Jean"},{"last_name":"Heindorf","id":"11871","first_name":"Stefan","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan"},{"id":"43817","last_name":"Demir","full_name":"Demir, Caglar","first_name":"Caglar"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo"}],"keyword":["Neural network","Concept learning","Description logics"],"publication":"The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)"},{"doi":"10.1016/j.cam.2022.114780","oa":"1","date_updated":"2023-08-10T08:42:39Z","language":[{"iso":"eng"}],"title":"Variational Learning of Euler–Lagrange Dynamics from Data","related_material":{"link":[{"relation":"software","url":"https://github.com/Christian-Offen/LagrangianShadowIntegration"}]},"external_id":{"arxiv":["2112.12619"]},"publication_identifier":{"issn":["0377-0427"]},"publication_status":"epub_ahead","department":[{"_id":"636"}],"intvolume":" 421","_id":"29240","type":"journal_article","citation":{"short":"S. Ober-Blöbaum, C. Offen, Journal of Computational and Applied Mathematics 421 (2023) 114780.","ieee":"S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics from Data,” Journal of Computational and Applied Mathematics, vol. 421, p. 114780, 2023, doi: 10.1016/j.cam.2022.114780.","ama":"Ober-Blöbaum S, Offen C. Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics. 2023;421:114780. doi:10.1016/j.cam.2022.114780","apa":"Ober-Blöbaum, S., & Offen, C. (2023). Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics, 421, 114780. https://doi.org/10.1016/j.cam.2022.114780","chicago":"Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” Journal of Computational and Applied Mathematics 421 (2023): 114780. https://doi.org/10.1016/j.cam.2022.114780.","mla":"Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” Journal of Computational and Applied Mathematics, vol. 421, Elsevier, 2023, p. 114780, doi:10.1016/j.cam.2022.114780.","bibtex":"@article{Ober-Blöbaum_Offen_2023, title={Variational Learning of Euler–Lagrange Dynamics from Data}, volume={421}, DOI={10.1016/j.cam.2022.114780}, journal={Journal of Computational and Applied Mathematics}, publisher={Elsevier}, author={Ober-Blöbaum, Sina and Offen, Christian}, year={2023}, pages={114780} }"},"year":"2023","page":"114780","ddc":["510"],"user_id":"85279","article_type":"original","abstract":[{"lang":"eng","text":"The principle of least action is one of the most fundamental physical principle. It says that among all possible motions connecting two points in a phase space, the system will exhibit those motions which extremise an action functional. Many qualitative features of dynamical systems, such as the presence of conservation laws and energy balance equations, are related to the existence of an action functional. Incorporating variational structure into learning algorithms for dynamical systems is, therefore, crucial in order to make sure that the learned model shares important features with the exact physical system. In this paper we show how to incorporate variational principles into trajectory predictions of learned dynamical systems. The novelty of this work is that (1) our technique relies only on discrete position data of observed trajectories. Velocities or conjugate momenta do not need to be observed or approximated and no prior knowledge about the form of the variational principle is assumed. Instead, they are recovered using backward error analysis. (2) Moreover, our technique compensates discretisation errors when trajectories are computed from the learned system. This is important when moderate to large step-sizes are used and high accuracy is required. For this,\r\nwe introduce and rigorously analyse the concept of inverse modified Lagrangians by developing an inverse version of variational backward error analysis. (3) Finally, we introduce a method to perform system identification from position observations only, based on variational backward error analysis."}],"volume":421,"status":"public","has_accepted_license":"1","date_created":"2022-01-11T13:24:00Z","author":[{"last_name":"Ober-Blöbaum","id":"16494","first_name":"Sina","full_name":"Ober-Blöbaum, Sina"},{"full_name":"Offen, Christian","orcid":"0000-0002-5940-8057","first_name":"Christian","id":"85279","last_name":"Offen"}],"publisher":"Elsevier","quality_controlled":"1","publication":"Journal of Computational and Applied Mathematics","file_date_updated":"2022-06-28T15:25:50Z","keyword":["Lagrangian learning","variational backward error analysis","modified Lagrangian","variational integrators","physics informed learning"],"file":[{"creator":"coffen","file_id":"32274","relation":"main_file","description":"The principle of least action is one of the most fundamental physical principle. It says that among all possible motions\nconnecting two points in a phase space, the system will exhibit those motions which extremise an action functional.\nMany qualitative features of dynamical systems, such as the presence of conservation laws and energy balance equa-\ntions, are related to the existence of an action functional. Incorporating variational structure into learning algorithms\nfor dynamical systems is, therefore, crucial in order to make sure that the learned model shares important features\nwith the exact physical system. In this paper we show how to incorporate variational principles into trajectory predic-\ntions of learned dynamical systems. The novelty of this work is that (1) our technique relies only on discrete position\ndata of observed trajectories. Velocities or conjugate momenta do not need to be observed or approximated and no\nprior knowledge about the form of the variational principle is assumed. Instead, they are recovered using backward\nerror analysis. (2) Moreover, our technique compensates discretisation errors when trajectories are computed from the\nlearned system. This is important when moderate to large step-sizes are used and high accuracy is required. For this,\nwe introduce and rigorously analyse the concept of inverse modified Lagrangians by developing an inverse version of\nvariational backward error analysis. (3) Finally, we introduce a method to perform system identification from position\nobservations only, based on variational backward error analysis.","content_type":"application/pdf","date_updated":"2022-06-28T15:25:50Z","date_created":"2022-06-28T15:25:50Z","file_name":"ShadowLagrangian_revision1_journal_style_arxiv.pdf","access_level":"open_access","title":"Variational Learning of Euler–Lagrange Dynamics from Data","file_size":3640770}]},{"related_material":{"link":[{"url":"https://hdl.handle.net/10125/103046","relation":"confirmation"}]},"user_id":"60721","title":"Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features","abstract":[{"lang":"eng","text":"Clinical depression is a serious mental disorder that poses challenges for both personal and public health. Millions of people struggle with depression each year, but for many, the disorder goes undiagnosed or untreated. Over the last decade, early depression detection on social media emerged as an interdisciplinary research field. However, there is still a gap in detecting hesitant, depression-susceptible individuals with minimal direct depressive signals at an early stage. We, therefore, take up this open point and leverage posts from Reddit to fill the addressed gap. Our results demonstrate the potential of contemporary Transformer architectures in yielding promising predictive capabilities for mental health research. Furthermore, we investigate the model’s interpretability using a surrogate and a topic modeling approach. Based on our findings, we consider this work as a further step towards developing a better understanding of mental eHealth and hope that our results can support the development of future technologies."}],"date_created":"2023-05-25T10:25:21Z","status":"public","publication_status":"published","keyword":["Social Media and Healthcare Technology","early depression detection","liwc","mental health","transfer learning","transformer architectures"],"publication":"Hawaii International Conference on System Sciences","department":[{"_id":"195"},{"_id":"196"}],"author":[{"first_name":"Haya","full_name":"Halimeh, Haya","last_name":"Halimeh","id":"87673"},{"full_name":"Caron, Matthew","first_name":"Matthew","id":"60721","last_name":"Caron"},{"id":"72849","last_name":"Müller","full_name":"Müller, Oliver","first_name":"Oliver"}],"oa":"1","conference":{"end_date":"2023-01-06","start_date":"2023-01-03","name":"Hawaii International Conference on System Sciences"},"_id":"45270","date_updated":"2024-01-10T15:16:37Z","language":[{"iso":"eng"}],"citation":{"apa":"Halimeh, H., Caron, M., & Müller, O. (2023). Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences.","ama":"Halimeh H, Caron M, Müller O. Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features. In: Hawaii International Conference on System Sciences. ; 2023.","chicago":"Halimeh, Haya, Matthew Caron, and Oliver Müller. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” In Hawaii International Conference on System Sciences, 2023.","mla":"Halimeh, Haya, et al. “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.” Hawaii International Conference on System Sciences, 2023.","bibtex":"@inproceedings{Halimeh_Caron_Müller_2023, title={Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features}, booktitle={Hawaii International Conference on System Sciences}, author={Halimeh, Haya and Caron, Matthew and Müller, Oliver}, year={2023} }","short":"H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on System Sciences, 2023.","ieee":"H. Halimeh, M. Caron, and O. Müller, “Early Depression Detection with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based Features,” presented at the Hawaii International Conference on System Sciences, 2023."},"year":"2023","type":"conference","main_file_link":[{"url":"https://scholarspace.manoa.hawaii.edu/items/2ddab486-5d2f-4302-8de3-a8b24017da3d","open_access":"1"}]},{"abstract":[{"text":"Verifying assertions is an essential part of creating and maintaining knowledge graphs. Most often, this task cannot be carried out manually due to the sheer size of modern knowledge graphs. Hence, automatic fact-checking approaches have been proposed over the last decade. These approaches aim to compute automatically whether a given assertion is correct or incorrect. However, most fact-checking approaches are binary classifiers that fail to consider the volatility of some assertions, i.e., the fact that such assertions are only valid at certain times or for specific time intervals. Moreover, the few approaches able to predict when an assertion was valid (i.e., time-point prediction approaches) rely on manual feature engineering. This paper presents TEMPORALFC, a temporal fact-checking approach that uses multiple sources of background knowledge to assess the veracity and temporal validity of a given assertion. We evaluate TEMPORALFC on two datasets and compare it to the state of the art in fact-checking and time-point prediction. Our results suggest that TEMPORALFC outperforms the state of the art on the fact-checking task by 0.13 to 0.15 in terms of Area Under the Receiver Operating Characteristic curve and on the time-point prediction task by 0.25 to 0.27 in terms of Mean Reciprocal Rank. Our code is open-source and can be found at https://github.com/dice-group/TemporalFC.","lang":"eng"}],"ddc":["006"],"user_id":"83392","keyword":["temporal fact checking · ensemble learning · transfer learning · time-point prediction · temporal knowledge graphs"],"publication":"The Semantic Web – ISWC 2023","file_date_updated":"2024-01-13T11:25:48Z","author":[{"first_name":"Umair","full_name":"Qudus, Umair","last_name":"Qudus"},{"last_name":"Röder","full_name":"Röder, Michael","first_name":"Michael"},{"first_name":"Sabrina","full_name":"Kirrane, Sabrina","last_name":"Kirrane"},{"last_name":"Ngomo","first_name":"Axel-Cyrille Ngonga","full_name":"Ngomo, Axel-Cyrille Ngonga"}],"publisher":"Springer, Cham","file":[{"access_level":"closed","date_created":"2024-01-13T11:25:48Z","file_name":"ISWC 2023 TemporalFC-A Temporal Fact Checking approach over Knowledge Graphs.pdf","relation":"main_file","success":1,"date_updated":"2024-01-13T11:25:48Z","content_type":"application/pdf","file_id":"50480","creator":"uqudus","file_size":1944818}],"volume":14265,"jel":["C"],"date_created":"2024-01-13T11:22:15Z","has_accepted_license":"1","status":"public","conference":{"end_date":"2023-11-10","location":"Athens, Greece","name":"The Semantic Web – ISWC 2023","start_date":"2023-11-06"},"intvolume":" 14265","_id":"50479","page":"465–483","year":"2023","citation":{"short":"U. Qudus, M. Röder, S. Kirrane, A.-C.N. Ngomo, in: T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, J. Li (Eds.), The Semantic Web – ISWC 2023, Springer, Cham, Cham, 2023, pp. 465–483.","ieee":"U. Qudus, M. Röder, S. Kirrane, and A.-C. N. Ngomo, “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs,” in The Semantic Web – ISWC 2023, Athens, Greece, 2023, vol. 14265, pp. 465–483, doi: 10.1007/978-3-031-47240-4_25.","apa":"Qudus, U., Röder, M., Kirrane, S., & Ngomo, A.-C. N. (2023). TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. In T. R. Payne, V. Presutti, G. Qi, M. Poveda-Villalón, G. Stoilos, L. Hollink, Z. Kaoudi, G. Cheng, & J. Li (Eds.), The Semantic Web – ISWC 2023 (Vol. 14265, pp. 465–483). Springer, Cham. https://doi.org/10.1007/978-3-031-47240-4_25","ama":"Qudus U, Röder M, Kirrane S, Ngomo A-CN. TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs. In: R. Payne T, Presutti V, Qi G, et al., eds. The Semantic Web – ISWC 2023. Vol 14265. Lecture Notes in Computer Science. Springer, Cham; 2023:465–483. doi:10.1007/978-3-031-47240-4_25","chicago":"Qudus, Umair, Michael Röder, Sabrina Kirrane, and Axel-Cyrille Ngonga Ngomo. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” In The Semantic Web – ISWC 2023, edited by Terry R. Payne, Valentina Presutti, Guilin Qi, María Poveda-Villalón, Giorgos Stoilos, Laura Hollink, Zoi Kaoudi, Gong Cheng, and Juanzi Li, 14265:465–483. Lecture Notes in Computer Science. Cham: Springer, Cham, 2023. https://doi.org/10.1007/978-3-031-47240-4_25.","mla":"Qudus, Umair, et al. “TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs.” The Semantic Web – ISWC 2023, edited by Terry R. Payne et al., vol. 14265, Springer, Cham, 2023, pp. 465–483, doi:10.1007/978-3-031-47240-4_25.","bibtex":"@inproceedings{Qudus_Röder_Kirrane_Ngomo_2023, place={Cham}, series={ Lecture Notes in Computer Science}, title={TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs}, volume={14265}, DOI={10.1007/978-3-031-47240-4_25}, booktitle={The Semantic Web – ISWC 2023}, publisher={Springer, Cham}, author={Qudus, Umair and Röder, Michael and Kirrane, Sabrina and Ngomo, Axel-Cyrille Ngonga}, editor={R. Payne, Terry and Presutti, Valentina and Qi, Guilin and Poveda-Villalón, María and Stoilos, Giorgos and Hollink, Laura and Kaoudi, Zoi and Cheng, Gong and Li, Juanzi}, year={2023}, pages={465–483}, collection={ Lecture Notes in Computer Science} }"},"type":"conference","place":"Cham","title":"TemporalFC: A Temporal Fact Checking Approach over Knowledge Graphs","department":[{"_id":"34"}],"publication_identifier":{"isbn":["9783031472398","9783031472404"],"issn":["0302-9743","1611-3349"]},"publication_status":"published","editor":[{"first_name":"Terry","full_name":"R. Payne, Terry","last_name":"R. Payne"},{"last_name":"Presutti","first_name":"Valentina","full_name":"Presutti, Valentina"},{"first_name":"Guilin","full_name":"Qi, Guilin","last_name":"Qi"},{"last_name":"Poveda-Villalón","full_name":"Poveda-Villalón, María","first_name":"María"},{"last_name":"Stoilos","full_name":"Stoilos, Giorgos","first_name":"Giorgos"},{"first_name":"Laura","full_name":"Hollink, Laura","last_name":"Hollink"},{"last_name":"Kaoudi","first_name":"Zoi","full_name":"Kaoudi, Zoi"},{"first_name":"Gong","full_name":"Cheng, Gong","last_name":"Cheng"},{"last_name":"Li","full_name":"Li, Juanzi","first_name":"Juanzi"}],"project":[{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","grant_number":"860801","_id":"410"}],"date_updated":"2024-01-13T11:48:28Z","doi":"10.1007/978-3-031-47240-4_25","series_title":" Lecture Notes in Computer Science","language":[{"iso":"eng"}]},{"conference":{"end_date":"2023-05-11","location":"Nuremberg","name":"SMSI 2023. Sensor and Measurement Science International","start_date":"2023-05-08"},"_id":"52816","page":"253-524","year":"2023","citation":{"apa":"Gräßler, I., & Hieb, M. (2023). Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. Lectures, 253–524. https://doi.org/10.5162/smsi2023/d7.4","ama":"Gräßler I, Hieb M. Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing. In: Lectures. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany; 2023:253-524. doi:10.5162/smsi2023/d7.4","chicago":"Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” In Lectures, 253–524. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023. https://doi.org/10.5162/smsi2023/d7.4.","mla":"Gräßler, Iris, and Michael Hieb. “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing.” Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524, doi:10.5162/smsi2023/d7.4.","bibtex":"@inproceedings{Gräßler_Hieb_2023, title={Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing}, DOI={10.5162/smsi2023/d7.4}, booktitle={Lectures}, publisher={AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany}, author={Gräßler, Iris and Hieb, Michael}, year={2023}, pages={253–524} }","short":"I. Gräßler, M. Hieb, in: Lectures, AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2023, pp. 253–524.","ieee":"I. Gräßler and M. Hieb, “Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing,” in Lectures, Nuremberg, 2023, pp. 253–524, doi: 10.5162/smsi2023/d7.4."},"type":"conference","abstract":[{"text":"Manufacturing companies face the challenge of reaching required quality standards. Using\r\noptical sensors and deep learning might help. However, training deep learning algorithms\r\nrequire large amounts of visual training data. Using domain randomization to generate synthetic\r\nimage data can alleviate this bottleneck. This paper presents the application of synthetic\r\nimage training data for optical quality inspections using visual sensor technology. The results\r\nshow synthetically generated training data are appropriate for visual quality inspections.","lang":"eng"}],"user_id":"5905","keyword":["synthetic training data","machine vision quality gates","deep learning","automated inspection and quality control","production control"],"publication":"Lectures","publisher":"AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany","author":[{"id":"47565","last_name":"Gräßler","orcid":"0000-0001-5765-971X","full_name":"Gräßler, Iris","first_name":"Iris"},{"first_name":"Michael","full_name":"Hieb, Michael","last_name":"Hieb","id":"72252"}],"quality_controlled":"1","date_created":"2024-03-25T10:16:24Z","status":"public","date_updated":"2024-03-25T11:05:53Z","doi":"10.5162/smsi2023/d7.4","language":[{"iso":"eng"}],"title":"Creating Synthetic Training Datasets for Inspection in Machine Vision Quality Gates in Manufacturing","department":[{"_id":"152"}],"publication_status":"published"},{"language":[{"iso":"eng"}],"year":"2023","type":"journal_article","citation":{"ieee":"A. Schuldt, M. Palm, P. Neumann, O. Böhm-Kasper, C. Demmer, and B. Lütje-Klose, “„Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“,” Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht, vol. 5, no. 4, 2023, doi: 10.11576/DIMAWE-6699.","short":"A. Schuldt, M. Palm, P. Neumann, O. Böhm-Kasper, C. Demmer, B. Lütje-Klose, Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht 5 (2023).","bibtex":"@article{Schuldt_Palm_Neumann_Böhm-Kasper_Demmer_Lütje-Klose_2023, title={„Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“}, volume={5}, DOI={10.11576/DIMAWE-6699}, number={4}, journal={Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht}, author={Schuldt, Alessa and Palm, Manfred and Neumann, Phillip and Böhm-Kasper, Oliver and Demmer, Christine and Lütje-Klose, Birgit}, year={2023} }","mla":"Schuldt, Alessa, et al. “„Jede*r von Uns Sieht Die Situation Eben Unterschiedlich – Das Ist Zwar Eine Schwierigkeit, Aber Auch Eine Bereicherung“.” Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht, vol. 5, no. 4, 2023, doi:10.11576/DIMAWE-6699.","apa":"Schuldt, A., Palm, M., Neumann, P., Böhm-Kasper, O., Demmer, C., & Lütje-Klose, B. (2023). „Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“. Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht, 5(4). https://doi.org/10.11576/DIMAWE-6699","ama":"Schuldt A, Palm M, Neumann P, Böhm-Kasper O, Demmer C, Lütje-Klose B. „Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“. Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht. 2023;5(4). doi:10.11576/DIMAWE-6699","chicago":"Schuldt, Alessa , Manfred Palm, Phillip Neumann, Oliver Böhm-Kasper, Christine Demmer, and Birgit Lütje-Klose. “„Jede*r von Uns Sieht Die Situation Eben Unterschiedlich – Das Ist Zwar Eine Schwierigkeit, Aber Auch Eine Bereicherung“.” Zeitschrift Für Konzepte Und Arbeitsmaterialien Für Lehrer*innenbildung Und Unterricht 5, no. 4 (2023). https://doi.org/10.11576/DIMAWE-6699."},"issue":"4","doi":"10.11576/DIMAWE-6699","intvolume":" 5","_id":"49434","date_updated":"2024-03-27T11:27:33Z","status":"public","date_created":"2023-12-04T10:11:17Z","volume":5,"author":[{"full_name":"Schuldt, Alessa ","first_name":"Alessa ","last_name":"Schuldt"},{"last_name":"Palm","full_name":"Palm, Manfred","first_name":"Manfred"},{"last_name":"Neumann","id":"95559","first_name":"Phillip","full_name":"Neumann, Phillip"},{"last_name":"Böhm-Kasper","first_name":"Oliver","full_name":"Böhm-Kasper, Oliver"},{"full_name":"Demmer, Christine","first_name":"Christine","last_name":"Demmer"},{"last_name":"Lütje-Klose","full_name":"Lütje-Klose, Birgit","first_name":"Birgit"}],"keyword":["Rollenspiel","mulitprofessionelle Kooperation","inklusionssensible Lehrerbildung","Hochschuldidaktik","Blended Learning"],"department":[{"_id":"479"}],"publication":"Zeitschrift für Konzepte Und Arbeitsmaterialien für Lehrer*innenbildung Und Unterricht","user_id":"77750","title":"„Jede*r von uns sieht die Situation eben unterschiedlich – das ist zwar eine Schwierigkeit, aber auch eine Bereicherung“","abstract":[{"text":"Die Rollenspiel-Methode ist ein handlungs- und anwendungsbezogenes Instrument, um Studierende bereits während der universitären Ausbildung für unterschiedliche professionelle Sicht- und Handlungsweisen zu sensibilisieren. In diesem Sinne stellt der folgende Beitrag ein Rollenspiel vor, welches als hochschuldidaktisches Material für die inklusionssensible Lehrer*innenbildung genutzt werden kann und Studierende auf zukünftige multiprofessionelle Kooperationshandlungen in der schulischen Praxis vorbereiten soll. Dieses bietet einen geeigneten Anlass, um die professionsübergreifende Zusammenarbeit „gefahrlos“ im Rahmen einer fiktiven kollegialen Fallkonferenz zu erproben sowie unterschiedliche pädagogische Professionsverständnisse aufzudecken und zu reflektieren. Darüber hinaus werden erste Durchführungserfahrungen und Evaluationsergebnisse diskutiert, die im Zuge der wissenschaftlichen Begleitforschung der Teilmaßnahme „Multiprofessionelle Kooperation in inklusiven Ganztagsschulen“ des Bielefelder QLB-Projekts BiProfessional erhoben wurden.","lang":"ger"}]},{"oa":"1","date_updated":"2022-03-10T18:28:19Z","language":[{"iso":"eng"}],"title":"mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"}],"department":[{"_id":"75"}],"conference":{"location":"Budapest","start_date":"2022-04-25","name":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","end_date":"2022-04-29"},"_id":"30236","citation":{"ama":"Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. In: IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE; 2022.","apa":"Schneider, S. B., Werner, S., Khalili, R., Hecker, A., & Karl, H. (2022). mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.","chicago":"Schneider, Stefan Balthasar, Stefan Werner, Ramin Khalili, Artur Hecker, and Holger Karl. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” In IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE, 2022.","bibtex":"@inproceedings{Schneider_Werner_Khalili_Hecker_Karl_2022, title={mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks}, booktitle={IEEE/IFIP Network Operations and Management Symposium (NOMS)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl, Holger}, year={2022} }","mla":"Schneider, Stefan Balthasar, et al. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.","short":"S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.","ieee":"S. B. Schneider, S. Werner, R. Khalili, A. Hecker, and H. Karl, “mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks,” presented at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, 2022."},"year":"2022","type":"conference","ddc":["004"],"user_id":"35343","abstract":[{"lang":"eng","text":"Recent reinforcement learning approaches for continuous control in wireless mobile networks have shown impressive\r\nresults. But due to the lack of open and compatible simulators, authors typically create their own simulation environments for training and evaluation. This is cumbersome and time-consuming for authors and limits reproducibility and comparability, ultimately impeding progress in the field.\r\n\r\nTo this end, we propose mobile-env, a simple and open platform for training, evaluating, and comparing reinforcement learning and conventional approaches for continuous control in mobile wireless networks. mobile-env is lightweight and implements the common OpenAI Gym interface and additional wrappers, which allows connecting virtually any single-agent or multi-agent reinforcement learning framework to the environment. While mobile-env provides sensible default values and can be used out of the box, it also has many configuration options and is easy to extend. We therefore believe mobile-env to be a valuable platform for driving meaningful progress in autonomous coordination of\r\nwireless mobile networks."}],"date_created":"2022-03-10T18:28:14Z","status":"public","has_accepted_license":"1","keyword":["wireless mobile networks","network management","continuous control","cognitive networks","autonomous coordination","reinforcement learning","gym environment","simulation","open source"],"publication":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","file_date_updated":"2022-03-10T18:25:41Z","quality_controlled":"1","author":[{"first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider","id":"35343"},{"last_name":"Werner","first_name":"Stefan","full_name":"Werner, Stefan"},{"first_name":"Ramin","full_name":"Khalili, Ramin","last_name":"Khalili"},{"full_name":"Hecker, Artur","first_name":"Artur","last_name":"Hecker"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"publisher":"IEEE","file":[{"access_level":"open_access","file_name":"author_version.pdf","date_created":"2022-03-10T18:25:41Z","relation":"main_file","date_updated":"2022-03-10T18:25:41Z","content_type":"application/pdf","file_id":"30237","creator":"stschn","file_size":223412}]},{"language":[{"iso":"eng"}],"doi":"10.1007/978-3-030-89582-2","date_updated":"2022-03-13T19:14:34Z","editor":[{"first_name":"Christian","orcid":"https://orcid.org/0000-0002-3570-7626","full_name":"Harteis, Christian","last_name":"Harteis","id":"27503"},{"last_name":"Gijbels","first_name":"David","full_name":"Gijbels, David"},{"last_name":"Kyndt","first_name":"Eva","full_name":"Kyndt, Eva"}],"publication_identifier":{"isbn":["9783030895815","9783030895822"],"issn":["2210-5549","2210-5557"]},"publication_status":"published","department":[{"_id":"452"}],"related_material":{"link":[{"relation":"other","url":"https://link.springer.com/book/10.1007/978-3-030-89582-2#about"}]},"title":"Research Approaches on Workplace Learning","place":"Cham","year":"2022","citation":{"mla":"Harteis, Christian, et al., editors. Research Approaches on Workplace Learning. Springer International Publishing, 2022, doi:10.1007/978-3-030-89582-2.","bibtex":"@book{Harteis_Gijbels_Kyndt_2022, place={Cham}, title={Research Approaches on Workplace Learning}, DOI={10.1007/978-3-030-89582-2}, publisher={Springer International Publishing}, year={2022} }","chicago":"Harteis, Christian, David Gijbels, and Eva Kyndt, eds. Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-89582-2.","ama":"Harteis C, Gijbels D, Kyndt E, eds. Research Approaches on Workplace Learning. Springer International Publishing; 2022. doi:10.1007/978-3-030-89582-2","apa":"Harteis, C., Gijbels, D., & Kyndt, E. (Eds.). (2022). Research Approaches on Workplace Learning. Springer International Publishing. https://doi.org/10.1007/978-3-030-89582-2","ieee":"C. Harteis, D. Gijbels, and E. Kyndt, Eds., Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022.","short":"C. Harteis, D. Gijbels, E. Kyndt, eds., Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022."},"type":"book_editor","_id":"30291","status":"public","date_created":"2022-03-13T19:13:27Z","alternative_title":["Insights from a Growing Field"],"publisher":"Springer International Publishing","keyword":["new generation of researchersthe team level of workplace learningindividual level of workplace learningorganizational level of workplace learningsocietal level of workplace learninginterdependent cross-level research approachesWork AgencyWork-life perspectivesTeam learningTeam climateSocial influences on team learningKnowledge construction in teamsLearning cultureAcknowledgement of competencesTechnology and professional learningCreation of a learning eco-systemDiversity as a challenge for organisationsHigher education as preparation for WPLSocial support in networks and professional learningvocational and professional education"],"user_id":"50788","abstract":[{"text":"The volume comprises a variety of research approaches that seek to explore and understand employees’ learning and development through and for work. Working life reveals challenges through technological, economic and societal development that can only rudimentarily be addressed by formal education and training. Workplace learning becomes more and more important for employees and enterprises to successfully cope with these challenges.\r\nWorkplace learning is a steadily growing field of educational research but it lacks so far a scholastic canon – there is rather a diversity of research approaches. This volume reflects this diversity by bringing together researchers from different countries and different theoretical backgrounds, presenting their current research on topics that all are relevant for understanding presages, processes and outcomes of workplace learning. Hence, this volume is of relevance for researchers as well as practitioners in the field and policy makers.","lang":"eng"}]},{"doi":"10.1007/978-3-030-89582-2_1","date_updated":"2022-03-13T19:14:43Z","language":[{"iso":"eng"}],"related_material":{"link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-030-89582-2_1#Abs1","relation":"other"}]},"title":"Agency: Taking Stock of Workplace Learning Research","place":"Cham","publication_status":"published","publication_identifier":{"isbn":["9783030895815","9783030895822"],"issn":["2210-5549","2210-5557"]},"department":[{"_id":"452"}],"_id":"30289","type":"book_chapter","year":"2022","citation":{"short":"M. Goller, S. Paloniemi, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.","ieee":"M. Goller and S. Paloniemi, “Agency: Taking Stock of Workplace Learning Research,” in Research Approaches on Workplace Learning, Cham: Springer International Publishing, 2022.","ama":"Goller M, Paloniemi S. Agency: Taking Stock of Workplace Learning Research. In: Research Approaches on Workplace Learning. Springer International Publishing; 2022. doi:10.1007/978-3-030-89582-2_1","apa":"Goller, M., & Paloniemi, S. (2022). Agency: Taking Stock of Workplace Learning Research. In Research Approaches on Workplace Learning. Springer International Publishing. https://doi.org/10.1007/978-3-030-89582-2_1","chicago":"Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” In Research Approaches on Workplace Learning. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-89582-2_1.","bibtex":"@inbook{Goller_Paloniemi_2022, place={Cham}, title={Agency: Taking Stock of Workplace Learning Research}, DOI={10.1007/978-3-030-89582-2_1}, booktitle={Research Approaches on Workplace Learning}, publisher={Springer International Publishing}, author={Goller, Michael and Paloniemi, Susanna}, year={2022} }","mla":"Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” Research Approaches on Workplace Learning, Springer International Publishing, 2022, doi:10.1007/978-3-030-89582-2_1."},"user_id":"50788","abstract":[{"text":"This chapter presents a discussion of the concept of agency. Agency is understood as a multifaceted construct describing the idea that human beings make choices, act on these choices, and thereby exercise influence on their own lives as well as their environment. We argue that the concept is discussed from three different perspectives in the literature—transformational, dispositional, and relational—that are each related to learning and development in work contexts. These perspectives do not reflect incompatible positions but rather different aspects of the same phenomena. The chapter also offers an avenue of insight into empirical studies that employ agency as a central concept as well as discussions about concepts that closely overlap with ideas of human beings as agents of power and influence.","lang":"eng"}],"status":"public","date_created":"2022-03-13T19:09:20Z","publisher":"Springer International Publishing","author":[{"first_name":"Michael","full_name":"Goller, Michael","orcid":"0000-0002-2820-9178","last_name":"Goller","id":"30984"},{"last_name":"Paloniemi","first_name":"Susanna","full_name":"Paloniemi, Susanna"}],"keyword":["Agency Workplace learning Professional development Proactivity Self-direction"],"publication":"Research Approaches on Workplace Learning"},{"date_updated":"2022-11-24T14:21:34Z","language":[{"iso":"eng"}],"title":"AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development","place":"Miltenberg, Germany","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"publication_identifier":{"eisbn":["978-3-948571-07-8"]},"publication_status":"published","department":[{"_id":"59"},{"_id":"485"}],"conference":{"end_date":"2022-09-29","start_date":"2022-09-27","name":"2022 Kleinheubach Conference","location":"Miltenberg, Germany"},"_id":"34140","citation":{"short":"J. Maalouly, D. Hemker, C. Hedayat, C. Rückert, I. Kaufmann, M. Olbrich, S. Lange, H. Mathis, in: 2022 Kleinheubach Conference, IEEE, Miltenberg, Germany, 2022.","ieee":"J. Maalouly et al., “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development,” presented at the 2022 Kleinheubach Conference, Miltenberg, Germany, 2022.","chicago":"Maalouly, Jad, Dennis Hemker, Christian Hedayat, Christian Rückert, Ivan Kaufmann, Marcel Olbrich, Sven Lange, and Harald Mathis. “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development.” In 2022 Kleinheubach Conference. Miltenberg, Germany: IEEE, 2022.","ama":"Maalouly J, Hemker D, Hedayat C, et al. AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. In: 2022 Kleinheubach Conference. IEEE; 2022.","apa":"Maalouly, J., Hemker, D., Hedayat, C., Rückert, C., Kaufmann, I., Olbrich, M., Lange, S., & Mathis, H. (2022). AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. 2022 Kleinheubach Conference. 2022 Kleinheubach Conference, Miltenberg, Germany.","bibtex":"@inproceedings{Maalouly_Hemker_Hedayat_Rückert_Kaufmann_Olbrich_Lange_Mathis_2022, place={Miltenberg, Germany}, title={AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development}, booktitle={2022 Kleinheubach Conference}, publisher={IEEE}, author={Maalouly, Jad and Hemker, Dennis and Hedayat, Christian and Rückert, Christian and Kaufmann, Ivan and Olbrich, Marcel and Lange, Sven and Mathis, Harald}, year={2022} }","mla":"Maalouly, Jad, et al. “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development.” 2022 Kleinheubach Conference, IEEE, 2022."},"type":"conference","year":"2022","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9954484"}],"user_id":"38240","abstract":[{"text":"In this paper, machine learning techniques will be used to classify different PCB layouts given their electromagnetic frequency spectra. These spectra result from a simulated near-field measurement of electric field strengths at different locations. Measured values consist of real and imaginary parts (amplitude and phase) in X, Y and Z directions. Training data was obtained in the time domain by varying transmission line geometries (size, distance and signaling). It was then transformed into the frequency domain and used as deep neural network input. Principal component analysis was applied to reduce the sample dimension. The results show that classifying different designs is possible with high accuracy based on synthetic data. Future work comprises measurements of real, custom-made PCB with varying parameters to adapt the simulation model and also test the neural network. Finally, the trained model could be used to give hints about the error’s cause when overshooting EMC limits.","lang":"eng"}],"date_created":"2022-11-24T14:21:17Z","status":"public","keyword":["emc","pcb","electronic system development","machine learning","neural network"],"publication":"2022 Kleinheubach Conference","author":[{"last_name":"Maalouly","first_name":"Jad","full_name":"Maalouly, Jad"},{"full_name":"Hemker, Dennis","first_name":"Dennis","last_name":"Hemker"},{"last_name":"Hedayat","full_name":"Hedayat, Christian","first_name":"Christian"},{"full_name":"Rückert, Christian","first_name":"Christian","last_name":"Rückert"},{"full_name":"Kaufmann, Ivan","first_name":"Ivan","last_name":"Kaufmann"},{"first_name":"Marcel","full_name":"Olbrich, Marcel","last_name":"Olbrich"},{"first_name":"Sven","full_name":"Lange, Sven","last_name":"Lange","id":"38240"},{"first_name":"Harald","full_name":"Mathis, Harald","last_name":"Mathis"}],"publisher":"IEEE"},{"_id":"33510","conference":{"end_date":"2022-04-28","location":"Grenoble, France","name":"2022 Smart Systems Integration (SSI)","start_date":"2022-04-27"},"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9901433"}],"year":"2022","citation":{"apa":"Sander, T., Lange, S., Hilleringmann, U., Geneiß, V., Hedayat, C., & Kuhn, H. (2022). Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. 2022 Smart Systems Integration (SSI). 2022 Smart Systems Integration (SSI), Grenoble, France. https://doi.org/10.1109/ssi56489.2022.9901433","ama":"Sander T, Lange S, Hilleringmann U, Geneiß V, Hedayat C, Kuhn H. Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. In: 2022 Smart Systems Integration (SSI). IEEE; 2022. doi:10.1109/ssi56489.2022.9901433","chicago":"Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneiß, Christian Hedayat, and Harald Kuhn. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” In 2022 Smart Systems Integration (SSI). Grenoble, France: IEEE, 2022. https://doi.org/10.1109/ssi56489.2022.9901433.","bibtex":"@inproceedings{Sander_Lange_Hilleringmann_Geneiß_Hedayat_Kuhn_2022, place={Grenoble, France}, title={Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods}, DOI={10.1109/ssi56489.2022.9901433}, booktitle={2022 Smart Systems Integration (SSI)}, publisher={IEEE}, author={Sander, Tom and Lange, Sven and Hilleringmann, Ulrich and Geneiß, Volker and Hedayat, Christian and Kuhn, Harald}, year={2022} }","mla":"Sander, Tom, et al. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” 2022 Smart Systems Integration (SSI), IEEE, 2022, doi:10.1109/ssi56489.2022.9901433.","short":"T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.","ieee":"T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, and H. Kuhn, “Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods,” presented at the 2022 Smart Systems Integration (SSI), Grenoble, France, 2022, doi: 10.1109/ssi56489.2022.9901433."},"type":"conference","abstract":[{"lang":"eng","text":"In the manufacture of real wood products, defects can quickly occur during the production process. To quickly sort out these defects, a system is needed that finds damage in the irregularly structured surfaces of the product. The difficulty in this task is that each surface is visually different and no standard defects can be defined. Thus, damage detection using correlation does not work, so this paper will test different machine learning methods. To evaluate different machine learning methods, a data set is needed. For this reason, the available samples were recorded manually using a static fixed camera. Subsequently, the images were divided into sub-images, which resulted in a relatively small data set. Next, a convolutional neural network (CNN) was constructed to classify the images. However, this approach did not lead to a generalized solution, so the dataset was hashed using the a- and pHash. These hash values were then trained with a fully supervised system that will later serve as a reference model, in the semi-supervised learning procedures. To improve the supervised model and not have to label every data point, semi-supervised learning methods are used in the following. For this purpose, the CEAL method (wrapper method) is considered in the first and then the Π-Model (intrinsically semi-supervised)."}],"user_id":"38240","publisher":"IEEE","author":[{"last_name":"Sander","first_name":"Tom","full_name":"Sander, Tom"},{"full_name":"Lange, Sven","first_name":"Sven","id":"38240","last_name":"Lange"},{"last_name":"Hilleringmann","first_name":"Ulrich","full_name":"Hilleringmann, Ulrich"},{"first_name":"Volker","full_name":"Geneiß, Volker","last_name":"Geneiß"},{"last_name":"Hedayat","first_name":"Christian","full_name":"Hedayat, Christian"},{"full_name":"Kuhn, Harald","first_name":"Harald","last_name":"Kuhn"}],"publication":"2022 Smart Systems Integration (SSI)","keyword":["Machine Learning","CNN","Hashing","semi-supervised learning"],"status":"public","date_created":"2022-10-04T11:35:55Z","date_updated":"2022-10-04T11:37:39Z","doi":"10.1109/ssi56489.2022.9901433","language":[{"iso":"eng"}],"place":"Grenoble, France","title":"Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods","department":[{"_id":"59"},{"_id":"485"}],"publication_status":"published","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}]},{"department":[{"_id":"588"}],"publication":"Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. ","keyword":["technology education","teacher professionalisation","Computational Thinking","digitalization","learning robots"],"author":[{"full_name":"Janicki, Nicole","first_name":"Nicole","id":"50915","last_name":"Janicki"}],"date_created":"2023-01-22T14:09:52Z","status":"public","publication_identifier":{"unknown":["978-3-947868-03-2"]},"publication_status":"published","editor":[{"last_name":"Binder","first_name":"Martin","full_name":"Binder, Martin"},{"last_name":"Wiesmüller","first_name":"Christian","full_name":"Wiesmüller, Christian"},{"last_name":"Finkbeiner","first_name":"Timo","full_name":"Finkbeiner, Timo"}],"user_id":"50915","title":"Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern","language":[{"iso":"ger"}],"page":"266-286","year":"2022","type":"book_chapter","citation":{"short":"N. Janicki, in: M. Binder, C. Wiesmüller, T. Finkbeiner (Eds.), Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. , 2022, pp. 266–286.","ieee":"N. Janicki, “Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern,” in Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. , M. Binder, C. Wiesmüller, and T. Finkbeiner, Eds. 2022, pp. 266–286.","ama":"Janicki N. Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern. In: Binder M, Wiesmüller C, Finkbeiner T, eds. Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. . ; 2022:266-286.","apa":"Janicki, N. (2022). Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern. In M. Binder, C. Wiesmüller, & T. Finkbeiner (Eds.), Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. (pp. 266–286).","chicago":"Janicki, Nicole. “Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern.” In Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. , edited by Martin Binder, Christian Wiesmüller, and Timo Finkbeiner, 266–86, 2022.","mla":"Janicki, Nicole. “Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern.” Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. , edited by Martin Binder et al., 2022, pp. 266–86.","bibtex":"@inbook{Janicki_2022, title={Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern}, booktitle={Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. }, author={Janicki, Nicole}, editor={Binder, Martin and Wiesmüller, Christian and Finkbeiner, Timo}, year={2022}, pages={266–286} }"},"conference":{"start_date":"24.09.2021","name":"23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung","location":"Mannheim","end_date":"25.09.2021"},"date_updated":"2023-01-25T11:50:51Z","_id":"37902"},{"title":"User Involvement in Training Smart Home Agents","department":[{"_id":"574"},{"_id":"760"}],"publication_status":"published","project":[{"_id":"121","name":"TRR 318 - B1: TRR 318 - Subproject B1"}],"date_updated":"2023-02-09T14:48:51Z","doi":"10.1145/3527188.3561914","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Smart home systems contain plenty of features that enhance wellbeing in everyday life through artificial intelligence (AI). However, many users feel insecure because they do not understand the AI’s functionality and do not feel they are in control of it. Combining technical, psychological and philosophical views on AI, we rethink smart homes as interactive systems where users can partake in an intelligent agent’s learning. Parallel to the goals of explainable AI (XAI), we explored the possibility of user involvement in supervised learning of the smart home to have a first approach to improve acceptance, support subjective understanding and increase perceived control. In this work, we conducted two studies: In an online pre-study, we asked participants about their attitude towards teaching AI via a questionnaire. In the main study, we performed a Wizard of Oz laboratory experiment with human participants, where participants spent time in a prototypical smart home and taught activity recognition to the intelligent agent through supervised learning based on the user’s behaviour. We found that involvement in the AI’s learning phase enhanced the users’ feeling of control, perceived understanding and perceived usefulness of AI in general. The participants reported positive attitudes towards training a smart home AI and found the process understandable and controllable. We suggest that involving the user in the learning phase could lead to better personalisation and increased understanding and control by users of intelligent agents for smart home automation."}],"user_id":"14931","keyword":["human-agent interaction","smart homes","supervised learning","participation"],"publication":"International Conference on Human-Agent Interaction","publisher":"ACM","quality_controlled":"1","author":[{"id":"93402","last_name":"Sieger","full_name":"Sieger, Leonie Nora","first_name":"Leonie Nora"},{"full_name":"Hermann, Julia","first_name":"Julia","last_name":"Hermann"},{"last_name":"Schomäcker","first_name":"Astrid","full_name":"Schomäcker, Astrid"},{"last_name":"Heindorf","id":"11871","first_name":"Stefan","orcid":"0000-0002-4525-6865","full_name":"Heindorf, Stefan"},{"last_name":"Meske","full_name":"Meske, Christian","first_name":"Christian"},{"last_name":"Hey","full_name":"Hey, Celine-Chiara","first_name":"Celine-Chiara"},{"full_name":"Doğangün, Ayşegül","first_name":"Ayşegül","last_name":"Doğangün"}],"alternative_title":["Increasing Perceived Control and Understanding"],"date_created":"2022-12-21T09:48:43Z","status":"public","conference":{"location":"Christchurch, New Zealand","name":"HAI '22: International Conference on Human-Agent Interaction","start_date":"2022-12-05","end_date":"2022-12-08"},"_id":"34674","main_file_link":[{"url":"https://papers.dice-research.org/2022/HAI_SmartHome/User_Involvement_in_Training_Smart_Home_Agents_public.pdf"}],"year":"2022","type":"conference","citation":{"short":"L.N. Sieger, J. Hermann, A. Schomäcker, S. Heindorf, C. Meske, C.-C. Hey, A. Doğangün, in: International Conference on Human-Agent Interaction, ACM, 2022.","ieee":"L. N. Sieger et al., “User Involvement in Training Smart Home Agents,” presented at the HAI ’22: International Conference on Human-Agent Interaction, Christchurch, New Zealand, 2022, doi: 10.1145/3527188.3561914.","chicago":"Sieger, Leonie Nora, Julia Hermann, Astrid Schomäcker, Stefan Heindorf, Christian Meske, Celine-Chiara Hey, and Ayşegül Doğangün. “User Involvement in Training Smart Home Agents.” In International Conference on Human-Agent Interaction. ACM, 2022. https://doi.org/10.1145/3527188.3561914.","apa":"Sieger, L. N., Hermann, J., Schomäcker, A., Heindorf, S., Meske, C., Hey, C.-C., & Doğangün, A. (2022). User Involvement in Training Smart Home Agents. International Conference on Human-Agent Interaction. HAI ’22: International Conference on Human-Agent Interaction, Christchurch, New Zealand. https://doi.org/10.1145/3527188.3561914","ama":"Sieger LN, Hermann J, Schomäcker A, et al. User Involvement in Training Smart Home Agents. In: International Conference on Human-Agent Interaction. ACM; 2022. doi:10.1145/3527188.3561914","bibtex":"@inproceedings{Sieger_Hermann_Schomäcker_Heindorf_Meske_Hey_Doğangün_2022, title={User Involvement in Training Smart Home Agents}, DOI={10.1145/3527188.3561914}, booktitle={International Conference on Human-Agent Interaction}, publisher={ACM}, author={Sieger, Leonie Nora and Hermann, Julia and Schomäcker, Astrid and Heindorf, Stefan and Meske, Christian and Hey, Celine-Chiara and Doğangün, Ayşegül}, year={2022} }","mla":"Sieger, Leonie Nora, et al. “User Involvement in Training Smart Home Agents.” International Conference on Human-Agent Interaction, ACM, 2022, doi:10.1145/3527188.3561914."}},{"keyword":["neural networks","physics-guided","data-driven","multi-objective optimization","system identification","machine learning","dynamical systems"],"publication":"14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)","quality_controlled":"1","author":[{"full_name":"Schön, Oliver","first_name":"Oliver","last_name":"Schön"},{"first_name":"Ricarda-Samantha","full_name":"Götte, Ricarda-Samantha","last_name":"Götte","id":"43992"},{"first_name":"Julia","full_name":"Timmermann, Julia","last_name":"Timmermann","id":"15402"}],"date_created":"2022-05-05T06:22:55Z","status":"public","volume":55,"abstract":[{"text":"While trade-offs between modeling effort and model accuracy remain a major concern with system identification, resorting to data-driven methods often leads to a complete disregard for physical plausibility. To address this issue, we propose a physics-guided hybrid approach for modeling non-autonomous systems under control. Starting from a traditional physics-based model, this is extended by a recurrent neural network and trained using a sophisticated multi-objective strategy yielding physically plausible models. While purely data-driven methods fail to produce satisfying results, experiments conducted on real data reveal substantial accuracy improvements by our approach compared to a physics-based model. ","lang":"eng"}],"user_id":"43992","page":"19-24","citation":{"ieee":"O. Schön, R.-S. Götte, and J. Timmermann, “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems,” in 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), Casablanca, Morocco, 2022, vol. 55, no. 12, pp. 19–24, doi: https://doi.org/10.1016/j.ifacol.2022.07.282.","short":"O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.","mla":"Schön, Oliver, et al. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), vol. 55, no. 12, 2022, pp. 19–24, doi:https://doi.org/10.1016/j.ifacol.2022.07.282.","bibtex":"@inproceedings{Schön_Götte_Timmermann_2022, title={Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems}, volume={55}, DOI={https://doi.org/10.1016/j.ifacol.2022.07.282}, number={12}, booktitle={14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)}, author={Schön, Oliver and Götte, Ricarda-Samantha and Timmermann, Julia}, year={2022}, pages={19–24} }","apa":"Schön, O., Götte, R.-S., & Timmermann, J. (2022). Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 55(12), 19–24. https://doi.org/10.1016/j.ifacol.2022.07.282","ama":"Schön O, Götte R-S, Timmermann J. Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems. In: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022). Vol 55. ; 2022:19-24. doi:https://doi.org/10.1016/j.ifacol.2022.07.282","chicago":"Schön, Oliver, Ricarda-Samantha Götte, and Julia Timmermann. “Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems.” In 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 55:19–24, 2022. https://doi.org/10.1016/j.ifacol.2022.07.282."},"type":"conference","year":"2022","conference":{"end_date":"2022-07-01","location":"Casablanca, Morocco","name":"14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)","start_date":"2022-06-29"},"_id":"31066","intvolume":" 55","issue":"12","department":[{"_id":"153"}],"title":"Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems","language":[{"iso":"eng"}],"date_updated":"2023-05-02T15:11:20Z","doi":"https://doi.org/10.1016/j.ifacol.2022.07.282"},{"_id":"44529","intvolume":" 8","issue":"1","main_file_link":[{"open_access":"1","url":"https://die-hochschullehre.de/articles/abstract/10.3278/HSL2248W/#downloads"}],"page":"662-675","year":"2022","citation":{"bibtex":"@article{Auer_2022, title={Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie}, volume={8}, DOI={http://doi.org/10.3278/HSL2248W}, number={1}, journal={die hochschullehre}, author={Auer, Thorsten Fabian}, year={2022}, pages={662–675} }","mla":"Auer, Thorsten Fabian. “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie.” die hochschullehre, vol. 8, no. 1, 2022, pp. 662–75, doi:http://doi.org/10.3278/HSL2248W.","chicago":"Auer, Thorsten Fabian. “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie.” die hochschullehre 8, no. 1 (2022): 662–75. https://doi.org/10.3278/HSL2248W.","ama":"Auer TF. Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie. die hochschullehre. 2022;8(1):662-675. doi:http://doi.org/10.3278/HSL2248W","apa":"Auer, T. F. (2022). Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie. die hochschullehre, 8(1), 662–675. https://doi.org/10.3278/HSL2248W","ieee":"T. F. Auer, “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie,” die hochschullehre, vol. 8, no. 1, pp. 662–675, 2022, doi: http://doi.org/10.3278/HSL2248W.","short":"T.F. Auer, die hochschullehre 8 (2022) 662–675."},"type":"journal_article","abstract":[{"text":"According to the German Rectors’ Conference (HRK), German higher education teaching fails to\r\nmeet the demand to integrate competence-oriented learning objectives. Despite a wide-ranging debate on the use of learning objectives, empirical research on their effectiveness is scarce. The present study uses the features of digital teaching platforms to investigate the perception and effectiveness of learning objectives applying a randomised controlled experiment followed by a survey in a course for undergraduate economics students (N = 30). Controlling group preconditions and the treatment effect allows to draw conclusions about the different learning outcomes of the student groups. The specification of behaviour-oriented learning objectives in the online course system leads to significantly better performance in the treatment group. A stronger perception of the learning objectives in the treatment group supports this effect that remains significant in a regression analysis. Thus, the study provides an empirical justification to integrate learning objectives in university teaching.","lang":"eng"}],"article_type":"original","user_id":"49071","publication":"die hochschullehre","keyword":["learning objectives","academic performance","perception","teaching methods","experiment"],"quality_controlled":"1","author":[{"full_name":"Auer, Thorsten Fabian","first_name":"Thorsten Fabian","id":"49071","last_name":"Auer"}],"volume":8,"date_created":"2023-05-05T17:19:24Z","status":"public","date_updated":"2023-11-23T08:06:46Z","doi":"http://doi.org/10.3278/HSL2248W","oa":"1","language":[{"iso":"ger"}],"title":"Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie","department":[{"_id":"178"},{"_id":"184"}],"publication_identifier":{"issn":["2199-8825"]},"publication_status":"published"},{"date_created":"2023-11-14T15:58:57Z","status":"public","volume":12,"publication":"Applied Sciences","keyword":["big data","data mining","data stream analysis","machine learning","stream classification","supervised learning"],"author":[{"last_name":"Clever","full_name":"Clever, Lena","first_name":"Lena"},{"first_name":"Janina Susanne","full_name":"Pohl, Janina Susanne","last_name":"Pohl"},{"id":"102979","last_name":"Bossek","full_name":"Bossek, Jakob","orcid":"0000-0002-4121-4668","first_name":"Jakob"},{"full_name":"Kerschke, Pascal","first_name":"Pascal","last_name":"Kerschke"},{"first_name":"Heike","full_name":"Trautmann, Heike","last_name":"Trautmann"}],"publisher":"{Multidisciplinary Digital Publishing Institute}","user_id":"102979","abstract":[{"text":"Due to the rise of continuous data-generating applications, analyzing data streams has gained increasing attention over the past decades. A core research area in stream data is stream classification, which categorizes or detects data points within an evolving stream of observations. Areas of stream classification are diverse\\textemdash ranging, e.g., from monitoring sensor data to analyzing a wide range of (social) media applications. Research in stream classification is related to developing methods that adapt to the changing and potentially volatile data stream. It focuses on individual aspects of the stream classification pipeline, e.g., designing suitable algorithm architectures, an efficient train and test procedure, or detecting so-called concept drifts. As a result of the many different research questions and strands, the field is challenging to grasp, especially for beginners. This survey explores, summarizes, and categorizes work within the domain of stream classification and identifies core research threads over the past few years. It is structured based on the stream classification process to facilitate coordination within this complex topic, including common application scenarios and benchmarking data sets. Thus, both newcomers to the field and experts who want to widen their scope can gain (additional) insight into this research area and find starting points and pointers to more in-depth literature on specific issues and research directions in the field.","lang":"eng"}],"page":"9094","type":"journal_article","year":"2022","citation":{"apa":"Clever, L., Pohl, J. S., Bossek, J., Kerschke, P., & Trautmann, H. (2022). Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences, 12(18), 9094. https://doi.org/10.3390/app12189094","ama":"Clever L, Pohl JS, Bossek J, Kerschke P, Trautmann H. Process-Oriented Stream Classification Pipeline: A Literature Review. Applied Sciences. 2022;12(18):9094. doi:10.3390/app12189094","chicago":"Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences 12, no. 18 (2022): 9094. https://doi.org/10.3390/app12189094.","bibtex":"@article{Clever_Pohl_Bossek_Kerschke_Trautmann_2022, title={Process-Oriented Stream Classification Pipeline: A Literature Review}, volume={12}, DOI={10.3390/app12189094}, number={18}, journal={Applied Sciences}, publisher={{Multidisciplinary Digital Publishing Institute}}, author={Clever, Lena and Pohl, Janina Susanne and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2022}, pages={9094} }","mla":"Clever, Lena, et al. “Process-Oriented Stream Classification Pipeline: A Literature Review.” Applied Sciences, vol. 12, no. 18, {Multidisciplinary Digital Publishing Institute}, 2022, p. 9094, doi:10.3390/app12189094.","short":"L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 9094.","ieee":"L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” Applied Sciences, vol. 12, no. 18, p. 9094, 2022, doi: 10.3390/app12189094."},"issue":"18","_id":"48878","intvolume":" 12","publication_identifier":{"issn":["2076-3417"]},"department":[{"_id":"819"}],"title":"Process-Oriented Stream Classification Pipeline: A Literature Review","language":[{"iso":"eng"}],"doi":"10.3390/app12189094","date_updated":"2023-12-13T10:50:56Z"},{"user_id":"186","title":"Decision-making under Imperfect Information with Bayesian Learning or Heuristic Rules","abstract":[{"lang":"eng","text":"Information is one of the most important ingredients for decision-making. While the neoclassical assumption of perfect information is surely an important conceptual benchmark for discussing efficient allocations, it is obviously far from describing a rational choice under real conditions. In reality, optimal choices should be considered choices under imperfect information. Thus, decision-makers' information problem can be solved by two strategies. Either they collect an optimal set of information to make an optimal allocation choice under this imperfect information set or they can apply heuristic reasoning. In this paper, we suggest a formal model framework for the example of a simple consumer decision for the allocation of differentiated goods to explore information acquisition strategies in such a simple standard choice situation. Using the model variation under perfect information as a benchmark, we answer the following questions. First and most importantly, under imperfect information, can a heuristic rule substitute information acquisition as an optimal choice? Second, what is the role of risk aversion in the information acquisition process? Finally, we explore the differences to the benchmark, both ex ante the first purchase decision and ex post when repeated purchases and consumption allows for experiences with the choices made. "}],"date_created":"2023-11-28T14:28:55Z","status":"public","volume":"No. 149","jel":["D18","D8","D83","D90"],"department":[{"_id":"202"}],"keyword":["information economics","imperfect information","Bayesian learning","risk","heuristics","differentiated products"],"publisher":" Paderborn University, CIE Center for International Economics","author":[{"full_name":"Burs, Carina","first_name":"Carina","id":"44010","last_name":"Burs"},{"last_name":"Gries","id":"186","first_name":"Thomas","full_name":"Gries, Thomas"}],"date_updated":"2023-12-21T12:40:02Z","_id":"49308","language":[{"iso":"eng"}],"year":"2022","citation":{"short":"C. Burs, T. Gries, Decision-Making under Imperfect Information with Bayesian Learning or Heuristic Rules, Paderborn University, CIE Center for International Economics, 2022.","ieee":"C. Burs and T. Gries, Decision-making under Imperfect Information with Bayesian Learning or Heuristic Rules, vol. No. 149. Paderborn University, CIE Center for International Economics, 2022.","apa":"Burs, C., & Gries, T. (2022). Decision-making under Imperfect Information with Bayesian Learning or Heuristic Rules: Vol. No. 149. Paderborn University, CIE Center for International Economics.","ama":"Burs C, Gries T. Decision-Making under Imperfect Information with Bayesian Learning or Heuristic Rules. Vol No. 149. Paderborn University, CIE Center for International Economics; 2022.","chicago":"Burs, Carina, and Thomas Gries. Decision-Making under Imperfect Information with Bayesian Learning or Heuristic Rules. Vol. No. 149. Working Papers CIE. Paderborn University, CIE Center for International Economics, 2022.","mla":"Burs, Carina, and Thomas Gries. Decision-Making under Imperfect Information with Bayesian Learning or Heuristic Rules. Paderborn University, CIE Center for International Economics, 2022.","bibtex":"@book{Burs_Gries_2022, series={Working Papers CIE}, title={Decision-making under Imperfect Information with Bayesian Learning or Heuristic Rules}, volume={No. 149}, publisher={ Paderborn University, CIE Center for International Economics}, author={Burs, Carina and Gries, Thomas}, year={2022}, collection={Working Papers CIE} }"},"type":"working_paper","series_title":"Working Papers CIE"},{"language":[{"iso":"eng"}],"doi":"10.1007/978-3-031-19433-7_27","date_updated":"2024-01-13T11:40:36Z","publication_identifier":{"isbn":["978-3-031-19433-7"]},"publication_status":"accepted","editor":[{"first_name":"Ulrike","full_name":"Sattler, Ulrike","last_name":"Sattler"},{"last_name":"Hogan","first_name":"Aidan","full_name":"Hogan, Aidan"},{"first_name":"Maria","full_name":"Keet, Maria","last_name":"Keet"},{"last_name":"Presutti","full_name":"Presutti, Valentina","first_name":"Valentina"}],"project":[{"grant_number":"860801","name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"}],"department":[{"_id":"34"}],"title":"HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs","place":"Cham","page":"462--480","citation":{"short":"U. Qudus, M. Röder, M. Saleem, A.-C. Ngonga Ngomo, in: U. Sattler, A. Hogan, M. Keet, V. Presutti (Eds.), The Semantic Web -- ISWC 2022, Springer International Publishing, Cham, n.d., pp. 462--480.","ieee":"U. Qudus, M. Röder, M. Saleem, and A.-C. Ngonga Ngomo, “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs,” in The Semantic Web -- ISWC 2022, Hanghzou, China, pp. 462--480, doi: 10.1007/978-3-031-19433-7_27.","apa":"Qudus, U., Röder, M., Saleem, M., & Ngonga Ngomo, A.-C. (n.d.). HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs. In U. Sattler, A. Hogan, M. Keet, & V. Presutti (Eds.), The Semantic Web -- ISWC 2022 (pp. 462--480). Springer International Publishing. https://doi.org/10.1007/978-3-031-19433-7_27","ama":"Qudus U, Röder M, Saleem M, Ngonga Ngomo A-C. HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs. In: Sattler U, Hogan A, Keet M, Presutti V, eds. The Semantic Web -- ISWC 2022. Springer International Publishing; :462--480. doi:10.1007/978-3-031-19433-7_27","chicago":"Qudus, Umair, Michael Röder, Muhammad Saleem, and Axel-Cyrille Ngonga Ngomo. “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs.” In The Semantic Web -- ISWC 2022, edited by Ulrike Sattler, Aidan Hogan, Maria Keet, and Valentina Presutti, 462--480. Cham: Springer International Publishing, n.d. https://doi.org/10.1007/978-3-031-19433-7_27.","bibtex":"@inproceedings{Qudus_Röder_Saleem_Ngonga Ngomo, place={Cham}, title={HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs}, DOI={10.1007/978-3-031-19433-7_27}, booktitle={The Semantic Web -- ISWC 2022}, publisher={Springer International Publishing}, author={Qudus, Umair and Röder, Michael and Saleem, Muhammad and Ngonga Ngomo, Axel-Cyrille}, editor={Sattler, Ulrike and Hogan, Aidan and Keet, Maria and Presutti, Valentina}, pages={462--480} }","mla":"Qudus, Umair, et al. “HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs.” The Semantic Web -- ISWC 2022, edited by Ulrike Sattler et al., Springer International Publishing, pp. 462--480, doi:10.1007/978-3-031-19433-7_27."},"year":"2022","type":"conference","conference":{"location":"Hanghzou, China","name":"International Semantic Web Conference (ISWC)","start_date":"2022-10-23","end_date":"2022-10-27"},"_id":"32509","jel":["D"],"date_created":"2022-08-02T11:56:03Z","status":"public","has_accepted_license":"1","publication":"The Semantic Web -- ISWC 2022","keyword":["fact checking · ensemble learning · knowledge graph veracit"],"file_date_updated":"2022-12-22T15:45:29Z","author":[{"first_name":"Umair","full_name":"Qudus, Umair","last_name":"Qudus","id":"83392"},{"first_name":"Michael","full_name":"Röder, Michael","last_name":"Röder"},{"last_name":"Saleem","first_name":"Muhammad","full_name":"Saleem, Muhammad"},{"id":"65716","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"publisher":"Springer International Publishing","file":[{"access_level":"closed","date_created":"2022-12-22T15:45:29Z","file_name":"hybrid_fact_check_iswc2022.pdf","relation":"main_file","success":1,"date_updated":"2022-12-22T15:45:29Z","content_type":"application/pdf","creator":"uqudus","file_id":"34853","file_size":296218}],"ddc":["000"],"user_id":"83392","abstract":[{"text":" We consider fact-checking approaches that aim to predict the veracity of assertions in knowledge graphs. Five main categories of fact-checking approaches for knowledge graphs have been proposed in the recent literature, of\r\nwhich each is subject to partially overlapping limitations. In particular, current text-based approaches are limited by manual feature engineering. Path-based and rule-based approaches are limited by their exclusive use of knowledge graphs as background knowledge, and embedding-based approaches suffer from low accuracy scores on current fact-checking tasks. We propose a hybrid approach—dubbed HybridFC—that exploits the diversity of existing categories of fact-checking approaches within an ensemble learning setting to achieve a significantly better prediction performance. In particular, our approach outperforms the state of the art by 0.14 to 0.27 in terms of Area Under the Receiver Operating Characteristic curve on the FactBench dataset. Our code is open-source and can be found at https://github.com/dice-group/HybridFC.","lang":"eng"}]},{"title":"Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung","publication_status":"published","publication_identifier":{"issn":["2199-8825"]},"doi":"10.3278/HSL2221W","date_updated":"2024-03-27T20:02:14Z","language":[{"iso":"ger"}],"user_id":"86519","abstract":[{"text":"Forschendes Lernen in der Lehrer:innenbildung ist seit der Ausweitung schulpraktischer Anteile bzw. der Einführung des sogenannten Praxissemesters eng verwoben mit der Lehrer:innenausbildung. Gleichzeitig wird bisher weitestgehend different beantwortet, was Forschendes Lernen ist und sein kann sowie warum es wie hochschuldidaktisch gerahmt wird und werden sollte. Der Beitrag widmet sich dieser Frage. Dabei zeigt sich einerseits, dass hochschuldidaktische Zugänge zur Realisierung Forschenden Lernens in der Lehrer:innenbildung erst vor dem Hintergrund theoretischer Annahmen zur Entwicklung von Lehrpersonen und deren Professionalität sowie zur Gestalt - gemeint ist hier der Beitrag zu dieser Entwicklung sowie der Anteil an Professionalität - Forschenden Lernens entwickelt werden können, eine solche Fundierung aber oftmals ausbleibt. Andererseits wird herausgearbeitet, inwiefern eine Differenz zwischen wissenschaftlicher Forschung und Forschung im Forschenden Lernen besteht. Daran anschließend wird eine habitustheoretische Fundierung Forschenden Lernens vorgestellt und es werden exemplarisch deren Implikationen für die Gestaltung Forschenden Lernens benannt. Abschließend wird anhand empirischer Rekonstruktionen beispielhaft eine praktische Umsetzung diskutiert.","lang":"ger"},{"lang":"eng","text":"Research-based learning in teacher education has been closely interwoven with teacher education since the introduction of the so-called Praxissemester. Nonetheless research has so far largely an- swered differently what research-based learning is and how it should be framed in university learn- ing opportunities. This article addresses the question. On the one hand, it shows that university learning opportunities which would realize research-based learning in teacher education can only be developed against the background of theoretical assumptions about teacher professionalism and its development as well as the form of research-based learning. On the other hand, it is worked out to what extent there is a difference between scientific research and research in research-based learning. Subsequently, a habitus-theoretical foundation of research-based learning will be pre-\r\n300 Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung sented and their implications for the design of research-based learning will be named as examples,\r\nand empirical reconstructions will be used to discuss a practical implementation as an example."}],"volume":8,"alternative_title":[" Fragen, Erwägungen und Rekonstruktionen"],"date_created":"2023-01-02T13:38:50Z","status":"public","publication":"die hochschullehre","keyword":["Forschendes Lernen","Lehrer:innenausbildung","Praxissemester","Professionalisierung / Research-based learning","teacher education","internships","professionalization"],"author":[{"last_name":"Bloh","id":"69383","first_name":"Thiemo","full_name":"Bloh, Thiemo","orcid":"0000-0002-2215-2924"},{"id":"23123","last_name":"Caruso","full_name":"Caruso, Carina","first_name":"Carina"}],"publisher":"wbv ","issue":"21","_id":"35111","intvolume":" 8","page":"299–312","citation":{"short":"T. Bloh, C. Caruso, die hochschullehre 8 (2022) 299–312.","ieee":"T. Bloh and C. Caruso, “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung,” die hochschullehre, vol. 8, no. 21, pp. 299–312, 2022, doi: 10.3278/HSL2221W.","chicago":"Bloh, Thiemo, and Carina Caruso. “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung.” die hochschullehre 8, no. 21 (2022): 299–312. https://doi.org/10.3278/HSL2221W.","apa":"Bloh, T., & Caruso, C. (2022). Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung. die hochschullehre, 8(21), 299–312. https://doi.org/10.3278/HSL2221W","ama":"Bloh T, Caruso C. Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung. die hochschullehre. 2022;8(21):299–312. doi:10.3278/HSL2221W","bibtex":"@article{Bloh_Caruso_2022, title={Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung}, volume={8}, DOI={10.3278/HSL2221W}, number={21}, journal={die hochschullehre}, publisher={wbv }, author={Bloh, Thiemo and Caruso, Carina}, year={2022}, pages={299–312} }","mla":"Bloh, Thiemo, and Carina Caruso. “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung.” die hochschullehre, vol. 8, no. 21, wbv , 2022, pp. 299–312, doi:10.3278/HSL2221W."},"type":"journal_article","year":"2022"},{"place":"Hyderabad, India","title":"Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding","project":[{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke"}],"date_updated":"2022-01-06T06:56:58Z","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Using Service Function Chaining (SFC) in wireless networks became popular in many domains like networking and multimedia. It relies on allocating network resources to incoming SFCs requests, via a Virtual Network Embedding (VNE) algorithm, so that it optimizes the performance of the SFC. When the load of incoming requests -- competing for the limited network resources -- increases, it becomes challenging to decide which requests should be admitted and which one should be rejected. In this work, we propose a deep Reinforcement learning (RL) solution that can learn the admission policy for different dependencies, such as the service lifetime and the priority of incoming requests. We compare the deep RL solution to a first-come-first-serve baseline that admits a request whenever there are available resources. We show that deep RL outperforms the baseline and provides higher acceptance rate with low rejections even when there are enough resources."}],"user_id":"65718","ddc":["000"],"file":[{"date_created":"2021-10-04T10:43:19Z","file_name":"Preprint___Reinforcement_Learning_for_Dynamic_Resource_Allocation_in_Wireless_Networks.pdf","access_level":"closed","file_size":534737,"creator":"hafifi","file_id":"25279","content_type":"application/pdf","date_updated":"2021-10-04T10:43:19Z","relation":"main_file","success":1}],"author":[{"id":"65718","last_name":"Afifi","full_name":"Afifi, Haitham","first_name":"Haitham"},{"first_name":"Fabian Jakob","full_name":"Sauer, Fabian Jakob","last_name":"Sauer"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"file_date_updated":"2021-10-04T10:43:19Z","publication":"2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS'21)","keyword":["reinforcement learning","admission control","wireless sensor networks"],"has_accepted_license":"1","status":"public","date_created":"2021-10-04T10:42:20Z","_id":"25278","year":"2021","type":"conference","citation":{"ieee":"H. Afifi, F. J. Sauer, and H. Karl, “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding,” 2021.","short":"H. Afifi, F.J. Sauer, H. Karl, in: 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21), Hyderabad, India, 2021.","bibtex":"@inproceedings{Afifi_Sauer_Karl_2021, place={Hyderabad, India}, title={Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding}, booktitle={2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)}, author={Afifi, Haitham and Sauer, Fabian Jakob and Karl, Holger}, year={2021} }","mla":"Afifi, Haitham, et al. “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding.” 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21), 2021.","apa":"Afifi, H., Sauer, F. J., & Karl, H. (2021). Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21).","ama":"Afifi H, Sauer FJ, Karl H. Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. In: 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21). ; 2021.","chicago":"Afifi, Haitham, Fabian Jakob Sauer, and Holger Karl. “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding.” In 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21). Hyderabad, India, 2021."}},{"year":"2021","type":"conference","citation":{"short":"H. Afifi, M. Guenther, A. Brendel, H. Karl, W. Kellermann, in: 14. ITG Conference on Speech Communication (ITG 2021), 2021.","ieee":"H. Afifi, M. Guenther, A. Brendel, H. Karl, and W. Kellermann, “Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities,” 2021.","chicago":"Afifi, Haitham, Michael Guenther, Andreas Brendel, Holger Karl, and Walter Kellermann. “Reinforcement Learning-Based Microphone Selection in Wireless Acoustic Sensor Networks Considering Network and Acoustic Utilities.” In 14. ITG Conference on Speech Communication (ITG 2021), 2021.","apa":"Afifi, H., Guenther, M., Brendel, A., Karl, H., & Kellermann, W. (2021). Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities. 14. ITG Conference on Speech Communication (ITG 2021).","ama":"Afifi H, Guenther M, Brendel A, Karl H, Kellermann W. Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities. In: 14. ITG Conference on Speech Communication (ITG 2021). ; 2021.","mla":"Afifi, Haitham, et al. “Reinforcement Learning-Based Microphone Selection in Wireless Acoustic Sensor Networks Considering Network and Acoustic Utilities.” 14. ITG Conference on Speech Communication (ITG 2021), 2021.","bibtex":"@inproceedings{Afifi_Guenther_Brendel_Karl_Kellermann_2021, title={Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities}, booktitle={14. ITG Conference on Speech Communication (ITG 2021)}, author={Afifi, Haitham and Guenther, Michael and Brendel, Andreas and Karl, Holger and Kellermann, Walter}, year={2021} }"},"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:56:59Z","_id":"25281","project":[{"name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke","_id":"27"}],"date_created":"2021-10-04T10:59:50Z","status":"public","has_accepted_license":"1","keyword":["microphone utility","microphone selection","wireless acoustic sensor network","network delay","reinforcement learning"],"file_date_updated":"2021-10-04T10:58:07Z","publication":"14. ITG Conference on Speech Communication (ITG 2021)","author":[{"first_name":"Haitham","full_name":"Afifi, Haitham","last_name":"Afifi","id":"65718"},{"last_name":"Guenther","first_name":"Michael","full_name":"Guenther, Michael"},{"last_name":"Brendel","full_name":"Brendel, Andreas","first_name":"Andreas"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"},{"last_name":"Kellermann","full_name":"Kellermann, Walter","first_name":"Walter"}],"file":[{"date_created":"2021-10-04T10:58:07Z","file_name":"ITG_2021_paper_26 (3).pdf","access_level":"closed","file_id":"25282","creator":"hafifi","file_size":283616,"relation":"main_file","success":1,"content_type":"application/pdf","date_updated":"2021-10-04T10:58:07Z"}],"title":"Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities","ddc":["620"],"user_id":"65718","abstract":[{"text":"Wireless Acoustic Sensor Networks (WASNs) have a wide range of audio signal processing applications. Due to the spatial diversity of the microphone and their relative position to the acoustic source, not all microphones are equally useful for subsequent audio signal processing tasks, nor do they all have the same wireless data transmission rates. Hence, a central task in WASNs is to balance a microphone’s estimated acoustic utility against its transmission delay, selecting a best-possible subset of microphones to record audio signals.\r\n\r\nIn this work, we use reinforcement learning to decide if a microphone should be used or switched off to maximize the acoustic quality at low transmission delays, while minimizing switching frequency. In experiments with moving sources in a simulated acoustic environment, our method outperforms naive baseline comparisons","lang":"eng"}]},{"title":"Learning Flow Scheduling","department":[{"_id":"75"}],"publication_status":"accepted","project":[{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"},{"name":"SFB 901","_id":"1"}],"date_updated":"2022-01-06T06:54:20Z","doi":"https://doi.org/10.1109/CCNC49032.2021.9369514","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Datacenter applications have different resource requirements from network and developing flow scheduling heuristics for every workload is practically infeasible. In this paper, we show that deep reinforcement learning (RL) can be used to efficiently learn flow scheduling policies for different workloads without manual feature engineering. Specifically, we present LFS, which learns to optimize a high-level performance objective, e.g., maximize the number of flow admissions while meeting the deadlines. The LFS scheduler is trained through deep RL to learn a scheduling policy on continuous online flow arrivals. The evaluation results show that the trained LFS scheduler admits 1.05x more flows than the greedy flow scheduling heuristics under varying network load."}],"ddc":["000"],"user_id":"63288","keyword":["Flow scheduling","Deadlines","Reinforcement learning"],"publication":"2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)","publisher":"IEEE Computer Society","author":[{"last_name":"Hasnain","id":"63288","first_name":"Asif","full_name":"Hasnain, Asif"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"date_created":"2020-10-19T14:27:17Z","status":"public","conference":{"end_date":"2021-01-12","start_date":"2021-01-09","name":"2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)","location":"Las Vegas, USA"},"_id":"20125","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9369514"}],"year":"2021","type":"conference","citation":{"chicago":"Hasnain, Asif, and Holger Karl. “Learning Flow Scheduling.” In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). IEEE Computer Society, n.d. https://doi.org/10.1109/CCNC49032.2021.9369514.","ama":"Hasnain A, Karl H. Learning Flow Scheduling. In: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). IEEE Computer Society. doi:https://doi.org/10.1109/CCNC49032.2021.9369514","apa":"Hasnain, A., & Karl, H. (n.d.). Learning Flow Scheduling. In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). Las Vegas, USA: IEEE Computer Society. https://doi.org/10.1109/CCNC49032.2021.9369514","bibtex":"@inproceedings{Hasnain_Karl, title={Learning Flow Scheduling}, DOI={https://doi.org/10.1109/CCNC49032.2021.9369514}, booktitle={2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)}, publisher={IEEE Computer Society}, author={Hasnain, Asif and Karl, Holger} }","mla":"Hasnain, Asif, and Holger Karl. “Learning Flow Scheduling.” 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), IEEE Computer Society, doi:https://doi.org/10.1109/CCNC49032.2021.9369514.","short":"A. Hasnain, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), IEEE Computer Society, n.d.","ieee":"A. Hasnain and H. Karl, “Learning Flow Scheduling,” in 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, USA."}},{"language":[{"iso":"ger"}],"date_updated":"2022-01-06T06:58:02Z","doi":"10.1515/infodaf-2021-0069","department":[{"_id":"468"}],"publication_status":"published","publication_identifier":{"issn":["2511-0853","0724-9616"]},"title":"Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie","type":"journal_article","year":"2021","citation":{"mla":"Drumm, Sandra, et al. “Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie.” Informationen Deutsch als Fremdsprache, vol. 48, no. 5, 2021, pp. 496–515, doi:10.1515/infodaf-2021-0069.","bibtex":"@article{Drumm_Müller_Stenzel_2021, title={Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie}, volume={48}, DOI={10.1515/infodaf-2021-0069}, number={5}, journal={Informationen Deutsch als Fremdsprache}, author={Drumm, Sandra and Müller, Mareike and Stenzel, Nadja}, year={2021}, pages={496–515} }","chicago":"Drumm, Sandra, Mareike Müller, and Nadja Stenzel. “Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie.” Informationen Deutsch als Fremdsprache 48, no. 5 (2021): 496–515. https://doi.org/10.1515/infodaf-2021-0069.","ama":"Drumm S, Müller M, Stenzel N. Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie. Informationen Deutsch als Fremdsprache. 2021;48(5):496-515. doi:10.1515/infodaf-2021-0069","apa":"Drumm, S., Müller, M., & Stenzel, N. (2021). Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie. Informationen Deutsch als Fremdsprache, 48(5), 496–515. https://doi.org/10.1515/infodaf-2021-0069","ieee":"S. Drumm, M. Müller, and N. Stenzel, “Digitale Räume geben und nehmen: Unterrichtsinteraktion in DSH-Kursen während der COVID-19-Pandemie,” Informationen Deutsch als Fremdsprache, vol. 48, no. 5, pp. 496–515, 2021, doi: 10.1515/infodaf-2021-0069.","short":"S. Drumm, M. Müller, N. Stenzel, Informationen Deutsch als Fremdsprache 48 (2021) 496–515."},"page":"496-515","intvolume":" 48","_id":"28349","issue":"5","author":[{"last_name":"Drumm","full_name":"Drumm, Sandra","first_name":"Sandra"},{"first_name":"Mareike","full_name":"Müller, Mareike","last_name":"Müller","id":"71540"},{"last_name":"Stenzel","first_name":"Nadja","full_name":"Stenzel, Nadja"}],"publication":"Informationen Deutsch als Fremdsprache","keyword":["German language courses at university","interaction","digital space","language learning/teaching via videoconference"],"volume":48,"status":"public","date_created":"2021-12-07T10:32:28Z","article_type":"original","abstract":[{"text":"Das Auftreten der COVID-19-Pandemie stellt Fremdsprachenkurse vielerorts vor Herausforderungen. Unter Zuhilfenahme diverser digitaler Tools werden nicht nur Lernmaterialien online geteilt, sondern auch die Interaktion zwischen Lehrenden und Lernenden sowie der Lernenden untereinander in den virtuellen Raum verlagert. Qualitative Interviews mit den Beteiligten erfassen, wie diese mit den Herausforderungen videogestützten Sprachunterrichts umgehen und welche Strategien sie wählen, um Sprachenlernen zu ermöglichen. Die Ergebnisse zeigen auf, wo seitens der Kursorganisation und -durchführung Handlungsbedarf besteht.\r\n-----\r\nThe rise of the COVID-19 pandemic challenges the teaching and learning of foreign languages at many institutions. The implementation of various digital tools aids not only the online sharing of learning materials, but also shifts teacher-learner and learner-learner interaction to the virtual space. Via qualitative interviews, this study examines how both teachers and learners handle the challenges of language instruction based on videoconferences, and what strategies they employ to enable language learning. The results highlight areas in need of improvement in terms of course organization and facilitation.","lang":"ger"}],"user_id":"71540"},{"title":"IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"date_updated":"2022-01-06T06:57:16Z","language":[{"iso":"eng"}],"ddc":["000"],"user_id":"58701","abstract":[{"lang":"eng","text":"Content is the new oil. Users consume billions of terabytes a day while surfing on news sites or blogs, posting on social media sites, and sending chat messages around the globe. While content is heterogeneous, the dominant form of web content is text. There are situations where more diversity needs to be introduced into text content, for example, to reuse it on websites or to allow a chatbot to base its models on the information conveyed rather than of the language used. In order to achieve this, paraphrasing techniques have been developed: One example is Text spinning, a technique that automatically paraphrases text while leaving the intent intact. This makes it easier to reuse content, or to change the language generated by the bot more human. One method for modifying texts is a combination of translation and back-translation. This paper presents NATTS, a naive approach that uses transformer-based translation models to create diversified text, combining translation steps in one model. An advantage of this approach is that it can be fine-tuned and handle technical language."}],"date_created":"2021-10-11T15:26:58Z","has_accepted_license":"1","status":"public","publication":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021","file_date_updated":"2021-10-15T15:54:41Z","keyword":["Software Requirements","Natural Language Processing","Transfer Learning","On-The-Fly Computing"],"publisher":"IADIS","author":[{"first_name":"Frederik Simon","full_name":"Bäumer, Frederik Simon","last_name":"Bäumer"},{"id":"58701","last_name":"Kersting","full_name":"Kersting, Joschka","first_name":"Joschka"},{"last_name":"Denisov","full_name":"Denisov, Sergej","first_name":"Sergej"},{"id":"42496","last_name":"Geierhos","orcid":"0000-0002-8180-5606","full_name":"Geierhos, Michaela","first_name":"Michaela"}],"file":[{"creator":"jkers","file_id":"26282","file_size":411667,"success":1,"relation":"main_file","content_type":"application/pdf","date_updated":"2021-10-15T15:54:41Z","file_name":"Bäumer et al. (2021), Baeumer2021.pdf","date_created":"2021-10-15T15:54:41Z","access_level":"closed"}],"conference":{"name":"18th International Conference on Applied Computing","start_date":"13.10.2021","location":"Lisbon, Portugal","end_date":"15.10.2021"},"_id":"26049","page":"221--225","year":"2021","citation":{"mla":"Bäumer, Frederik Simon, et al. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS, 2021, pp. 221--225.","bibtex":"@inproceedings{Bäumer_Kersting_Denisov_Geierhos_2021, title={IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING}, booktitle={PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021}, publisher={IADIS}, author={Bäumer, Frederik Simon and Kersting, Joschka and Denisov, Sergej and Geierhos, Michaela}, year={2021}, pages={221--225} }","chicago":"Bäumer, Frederik Simon, Joschka Kersting, Sergej Denisov, and Michaela Geierhos. “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225. IADIS, 2021.","apa":"Bäumer, F. S., Kersting, J., Denisov, S., & Geierhos, M. (2021). IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, 221--225.","ama":"Bäumer FS, Kersting J, Denisov S, Geierhos M. IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021. IADIS; 2021:221--225.","ieee":"F. S. Bäumer, J. Kersting, S. Denisov, and M. Geierhos, “IN OTHER WORDS: A NAIVE APPROACH TO TEXT SPINNING,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, Lisbon, Portugal, 2021, pp. 221--225.","short":"F.S. Bäumer, J. Kersting, S. Denisov, M. Geierhos, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCES ON WWW/INTERNET 2021 AND APPLIED COMPUTING 2021, IADIS, 2021, pp. 221--225."},"type":"conference"},{"place":"New York, NY, USA","abstract":[{"lang":"eng","text":" Students often have a lack of understanding and awareness of where, how, and why personal data about them is collected and processed. Especially, when interacting with data-driven digital artifacts, an appropriate perception of the data collection and processing is necessary for self-determination. This dissertation deals with the development and evaluation of a concept called data awareness which aims to foster students’ self-determination interacting with data-driven digital artifacts."}],"title":"Developing and Evaluating the Concept Data Awareness for K12 Computing Education","user_id":"21145","publisher":"Association for Computing Machinery","author":[{"full_name":"Höper, Lukas","first_name":"Lukas","id":"58041","last_name":"Höper"}],"department":[{"_id":"67"}],"keyword":["data awareness","machine learning","data science education","data-driven digital artifacts","artificial intelligence"],"publication":"21st Koli Calling International Conference on Computing Education Research","publication_identifier":{"isbn":["9781450384889"]},"status":"public","date_created":"2021-11-16T07:59:49Z","date_updated":"2022-01-06T06:57:40Z","_id":"27491","doi":"10.1145/3488042.3490509","series_title":"Koli Calling '21","citation":{"bibtex":"@inproceedings{Höper_2021, place={New York, NY, USA}, series={Koli Calling ’21}, title={Developing and Evaluating the Concept Data Awareness for K12 Computing Education}, DOI={10.1145/3488042.3490509}, booktitle={21st Koli Calling International Conference on Computing Education Research}, publisher={Association for Computing Machinery}, author={Höper, Lukas}, year={2021}, collection={Koli Calling ’21} }","mla":"Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, 2021, doi:10.1145/3488042.3490509.","chicago":"Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” In 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3488042.3490509.","apa":"Höper, L. (2021). Developing and Evaluating the Concept Data Awareness for K12 Computing Education. 21st Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/3488042.3490509","ama":"Höper L. Developing and Evaluating the Concept Data Awareness for K12 Computing Education. In: 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. Association for Computing Machinery; 2021. doi:10.1145/3488042.3490509","ieee":"L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing Education,” 2021, doi: 10.1145/3488042.3490509.","short":"L. Höper, in: 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, New York, NY, USA, 2021."},"year":"2021","type":"conference","language":[{"iso":"eng"}]},{"doi":"10.1109/tpami.2021.3051276","_id":"21004","date_updated":"2022-01-06T06:54:42Z","year":"2021","type":"journal_article","citation":{"short":"M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.","ieee":"M. D. Wever, A. Tornede, F. Mohr, and E. Hüllermeier, “AutoML for Multi-Label Classification: Overview and Empirical Evaluation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1–1, 2021, doi: 10.1109/tpami.2021.3051276.","chicago":"Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1. https://doi.org/10.1109/tpami.2021.3051276.","apa":"Wever, M. D., Tornede, A., Mohr, F., & Hüllermeier, E. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1–1. https://doi.org/10.1109/tpami.2021.3051276","ama":"Wever MD, Tornede A, Mohr F, Hüllermeier E. AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. Published online 2021:1-1. doi:10.1109/tpami.2021.3051276","mla":"Wever, Marcel Dominik, et al. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, pp. 1–1, doi:10.1109/tpami.2021.3051276.","bibtex":"@article{Wever_Tornede_Mohr_Hüllermeier_2021, title={AutoML for Multi-Label Classification: Overview and Empirical Evaluation}, DOI={10.1109/tpami.2021.3051276}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, author={Wever, Marcel Dominik and Tornede, Alexander and Mohr, Felix and Hüllermeier, Eyke}, year={2021}, pages={1–1} }"},"page":"1-1","language":[{"iso":"eng"}],"title":"AutoML for Multi-Label Classification: Overview and Empirical Evaluation","user_id":"5786","abstract":[{"text":"Automated machine learning (AutoML) supports the algorithmic construction and data-specific customization of machine learning pipelines, including the selection, combination, and parametrization of machine learning algorithms as main constituents. Generally speaking, AutoML approaches comprise two major components: a search space model and an optimizer for traversing the space. Recent approaches have shown impressive results in the realm of supervised learning, most notably (single-label) classification (SLC). Moreover, first attempts at extending these approaches towards multi-label classification (MLC) have been made. While the space of candidate pipelines is already huge in SLC, the complexity of the search space is raised to an even higher power in MLC. One may wonder, therefore, whether and to what extent optimizers established for SLC can scale to this increased complexity, and how they compare to each other. This paper makes the following contributions: First, we survey existing approaches to AutoML for MLC. Second, we augment these approaches with optimizers not previously tried for MLC. Third, we propose a benchmarking framework that supports a fair and systematic comparison. Fourth, we conduct an extensive experimental study, evaluating the methods on a suite of MLC problems. We find a grammar-based best-first search to compare favorably to other optimizers.","lang":"eng"}],"publication_identifier":{"issn":["0162-8828","2160-9292","1939-3539"]},"publication_status":"published","status":"public","project":[{"_id":"1","name":"SFB 901"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"date_created":"2021-01-16T14:48:13Z","author":[{"id":"33176","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818","full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik"},{"id":"38209","last_name":"Tornede","full_name":"Tornede, Alexander","first_name":"Alexander"},{"first_name":"Felix","full_name":"Mohr, Felix","last_name":"Mohr"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"keyword":["Automated Machine Learning","Multi Label Classification","Hierarchical Planning","Bayesian Optimization"],"department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"publication":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"title":"Learning Coflow Admissions","related_material":{"link":[{"relation":"confirmation","url":"https://ieeexplore.ieee.org/document/9484599"}]},"department":[{"_id":"75"}],"publication_status":"accepted","project":[{"_id":"16","name":"SFB 901 - Subproject C4"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901","_id":"1"}],"date_updated":"2022-01-06T06:54:42Z","doi":"10.1109/INFOCOMWKSHPS51825.2021.9484599","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Data-parallel applications are developed using different data programming models, e.g., MapReduce, partition/aggregate. These models represent diverse resource requirements of application in a datacenter network, which can be represented by the coflow abstraction. The conventional method of creating hand-crafted coflow heuristics for admission or scheduling for different workloads is practically infeasible. In this paper, we propose a deep reinforcement learning (DRL)-based coflow admission scheme -- LCS -- that can learn an admission policy for a higher-level performance objective, i.e., maximize successful coflow admissions, without manual feature engineering. LCS is trained on a production trace, which has online coflow arrivals. The evaluation results show that LCS is able to learn a reasonable admission policy that admits more coflows than state-of-the-art Varys heuristic while meeting their deadlines."}],"ddc":["000"],"user_id":"63288","publisher":"IEEE Communications Society","author":[{"id":"63288","last_name":"Hasnain","full_name":"Hasnain, Asif","first_name":"Asif"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"keyword":["Coflow scheduling","Reinforcement learning","Deadlines"],"publication":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","status":"public","date_created":"2021-01-16T18:24:19Z","_id":"21005","conference":{"end_date":"2021-05-13","location":"Vancouver BC Canada","name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","start_date":"2021-05-10"},"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9484599"}],"citation":{"ieee":"A. Hasnain and H. Karl, “Learning Coflow Admissions,” in IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver BC Canada.","short":"A. Hasnain, H. Karl, in: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, n.d.","bibtex":"@inproceedings{Hasnain_Karl, title={Learning Coflow Admissions}, DOI={10.1109/INFOCOMWKSHPS51825.2021.9484599}, booktitle={IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)}, publisher={IEEE Communications Society}, author={Hasnain, Asif and Karl, Holger} }","mla":"Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, doi:10.1109/INFOCOMWKSHPS51825.2021.9484599.","chicago":"Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE Communications Society, n.d. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599.","ama":"Hasnain A, Karl H. Learning Coflow Admissions. In: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE Communications Society. doi:10.1109/INFOCOMWKSHPS51825.2021.9484599","apa":"Hasnain, A., & Karl, H. (n.d.). Learning Coflow Admissions. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Vancouver BC Canada: IEEE Communications Society. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599"},"year":"2021","type":"conference"},{"publication":"2021 IEEE 18th Annual Consumer Communications \\& Networking Conference (CCNC) (CCNC 2021)","keyword":["reinforcement learning","wireless sensor networks","resource allocation","acoustic sensor networks"],"author":[{"last_name":"Afifi","id":"65718","first_name":"Haitham","full_name":"Afifi, Haitham"},{"id":"66937","last_name":"Ramaswamy","full_name":"Ramaswamy, Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","first_name":"Arunselvan"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"date_created":"2021-03-12T16:03:53Z","project":[{"name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke","_id":"27"}],"status":"public","abstract":[{"text":"Two of the most important metrics when developing Wireless Sensor Networks (WSNs) applications are the Quality of Information (QoI) and Quality of Service (QoS). The former is used to specify the quality of the collected data by the sensors (e.g., measurements error or signal's intensity), while the latter defines the network's performance and availability (e.g., packet losses and latency). In this paper, we consider an example of wireless acoustic sensor networks, where we select a subset of microphones for two different objectives. First, we maximize the recording quality under QoS constraints. Second, we apply a trade-off between QoI and QoS. We formulate the problem as a constrained Markov Decision Problem (MDP) and solve it using reinforcement learning (RL). We compare the RL solution to a baseline model and show that in case of QoS-guarantee objective, the RL solution has an optimality gap up to 1\\%. Meanwhile, the RL solution is better than the baseline with improvements up to 23\\%, when using the trade-off objective.","lang":"eng"}],"user_id":"65718","title":"A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks","language":[{"iso":"eng"}],"citation":{"short":"H. Afifi, A. Ramaswamy, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications \\& Networking Conference (CCNC) (CCNC 2021), 2021.","ieee":"H. Afifi, A. Ramaswamy, and H. Karl, “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks,” in 2021 IEEE 18th Annual Consumer Communications \\& Networking Conference (CCNC) (CCNC 2021), 2021.","chicago":"Afifi, Haitham, Arunselvan Ramaswamy, and Holger Karl. “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks.” In 2021 IEEE 18th Annual Consumer Communications \\& Networking Conference (CCNC) (CCNC 2021), 2021.","ama":"Afifi H, Ramaswamy A, Karl H. A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In: 2021 IEEE 18th Annual Consumer Communications \\& Networking Conference (CCNC) (CCNC 2021). ; 2021.","apa":"Afifi, H., Ramaswamy, A., & Karl, H. (2021). A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks. In 2021 IEEE 18th Annual Consumer Communications \\& Networking Conference (CCNC) (CCNC 2021).","bibtex":"@inproceedings{Afifi_Ramaswamy_Karl_2021, title={A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks}, booktitle={2021 IEEE 18th Annual Consumer Communications \\& Networking Conference (CCNC) (CCNC 2021)}, author={Afifi, Haitham and Ramaswamy, Arunselvan and Karl, Holger}, year={2021} }","mla":"Afifi, Haitham, et al. “A Reinforcement Learning QoI/QoS-Aware Approach in Acoustic Sensor Networks.” 2021 IEEE 18th Annual Consumer Communications \\& Networking Conference (CCNC) (CCNC 2021), 2021."},"year":"2021","type":"conference","date_updated":"2022-01-06T06:55:00Z","_id":"21479"},{"file_date_updated":"2021-03-18T17:12:56Z","publication":"IEEE International Conference on Distributed Computing Systems (ICDCS)","keyword":["network management","service management","coordination","reinforcement learning","distributed"],"publisher":"IEEE","author":[{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011"},{"last_name":"Qarawlus","first_name":"Haydar","full_name":"Qarawlus, Haydar"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"}],"file":[{"access_level":"open_access","date_created":"2021-03-18T17:12:56Z","file_name":"public_author_version.pdf","content_type":"application/pdf","date_updated":"2021-03-18T17:12:56Z","relation":"main_file","file_size":606321,"file_id":"21544","creator":"stschn","title":"Distributed Online Service Coordination Using Deep Reinforcement Learning"}],"date_created":"2021-03-18T17:15:47Z","status":"public","has_accepted_license":"1","abstract":[{"lang":"eng","text":"Services often consist of multiple chained components such as microservices in a service mesh, or machine learning functions in a pipeline. Providing these services requires online coordination including scaling the service, placing instance of all components in the network, scheduling traffic to these instances, and routing traffic through the network. Optimized service coordination is still a hard problem due to many influencing factors such as rapidly arriving user demands and limited node and link capacity. Existing approaches to solve the problem are often built on rigid models and assumptions, tailored to specific scenarios. If the scenario changes and the assumptions no longer hold, they easily break and require manual adjustments by experts. Novel self-learning approaches using deep reinforcement learning (DRL) are promising but still have limitations as they only address simplified versions of the problem and are typically centralized and thus do not scale to practical large-scale networks.\r\n\r\nTo address these issues, we propose a distributed self-learning service coordination approach using DRL. After centralized training, we deploy a distributed DRL agent at each node in the network, making fast coordination decisions locally in parallel with the other nodes. Each agent only observes its direct neighbors and does not need global knowledge. Hence, our approach scales independently from the size of the network. In our extensive evaluation using real-world network topologies and traffic traces, we show that our proposed approach outperforms a state-of-the-art conventional heuristic as well as a centralized DRL approach (60% higher throughput on average) while requiring less time per online decision (1 ms)."}],"ddc":["000"],"user_id":"35343","citation":{"mla":"Schneider, Stefan Balthasar, et al. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021.","bibtex":"@inproceedings{Schneider_Qarawlus_Karl_2021, title={Distributed Online Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Distributed Computing Systems (ICDCS)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Qarawlus, Haydar and Karl, Holger}, year={2021} }","chicago":"Schneider, Stefan Balthasar, Haydar Qarawlus, and Holger Karl. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE, 2021.","apa":"Schneider, S. B., Qarawlus, H., & Karl, H. (2021). Distributed Online Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Distributed Computing Systems (ICDCS). Washington, DC, USA: IEEE.","ama":"Schneider SB, Qarawlus H, Karl H. Distributed Online Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE; 2021.","ieee":"S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Distributed Computing Systems (ICDCS), Washington, DC, USA, 2021.","short":"S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021."},"year":"2021","type":"conference","conference":{"location":"Washington, DC, USA","name":"IEEE International Conference on Distributed Computing Systems (ICDCS)"},"_id":"21543","department":[{"_id":"75"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"title":"Distributed Online Service Coordination Using Deep Reinforcement Learning","related_material":{"link":[{"relation":"software","url":"https://github.com/ RealVNF/distributed-drl-coordination"}]},"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:55:04Z","oa":"1"},{"user_id":"38240","abstract":[{"text":"During the industrial processing of materials for the manufacture of new products, surface defects can quickly occur. In order to achieve high quality without a long time delay, it makes sense to inspect the work pieces so that defective work pieces can be sorted out right at the beginning of the process. At the same time, the evaluation unit should come close the perception of the human eye regarding detection of defects in surfaces. Such defects often manifest themselves by a deviation of the existing structure. The only restriction should be that only matt surfaces should be considered here. Therefore in this work, different classification and image processing algorithms are applied to surface data to identify possible surface damages. For this purpose, the Gabor filter and the FST (Fused Structure and Texture) features generated with it, as well as the salience metric are used on the image processing side. On the classification side, however, deep neural networks, Convolutional Neural Networks (CNN), and autoencoders are used to make a decision. A distinction is also made between training using class labels and without. It turns out later that the salience metric are best performed by CNN. On the other hand, if there is no labeled training data available, a novelty classification can easily be achieved by using autoencoders as well as the salience metric and some filters.","lang":"eng"}],"status":"public","date_created":"2021-06-20T23:32:11Z","author":[{"last_name":"Sander","first_name":"Tom","full_name":"Sander, Tom"},{"id":"38240","last_name":"Lange","full_name":"Lange, Sven","first_name":"Sven"},{"last_name":"Hilleringmann","full_name":"Hilleringmann, Ulrich","first_name":"Ulrich"},{"first_name":"Volker","full_name":"Geneis, Volker","last_name":"Geneis"},{"first_name":"Christian","full_name":"Hedayat, Christian","last_name":"Hedayat"},{"first_name":"Harald","full_name":"Kuhn, Harald","last_name":"Kuhn"},{"last_name":"Gockel","first_name":"Franz-Barthold","full_name":"Gockel, Franz-Barthold"}],"publisher":"IEEE","keyword":["Image Processing","Defect Detection","wooden surfaces","Machine Learning","Neural Networks"],"publication":"22nd IEEE International Conference on Industrial Technology (ICIT)","_id":"22481","conference":{"end_date":"2021-03-12","location":"Valencia, Spain ","name":"22nd IEEE International Conference on Industrial Technology (ICIT)","start_date":"2021-03-10"},"type":"conference","year":"2021","citation":{"bibtex":"@inproceedings{Sander_Lange_Hilleringmann_Geneis_Hedayat_Kuhn_Gockel_2021, place={Valencia, Spain }, title={Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction}, DOI={10.1109/icit46573.2021.9453646}, booktitle={22nd IEEE International Conference on Industrial Technology (ICIT)}, publisher={IEEE}, author={Sander, Tom and Lange, Sven and Hilleringmann, Ulrich and Geneis, Volker and Hedayat, Christian and Kuhn, Harald and Gockel, Franz-Barthold}, year={2021} }","mla":"Sander, Tom, et al. “Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction.” 22nd IEEE International Conference on Industrial Technology (ICIT), IEEE, 2021, doi:10.1109/icit46573.2021.9453646.","ama":"Sander T, Lange S, Hilleringmann U, et al. Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction. In: 22nd IEEE International Conference on Industrial Technology (ICIT). Valencia, Spain : IEEE; 2021. doi:10.1109/icit46573.2021.9453646","apa":"Sander, T., Lange, S., Hilleringmann, U., Geneis, V., Hedayat, C., Kuhn, H., & Gockel, F.-B. (2021). Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction. In 22nd IEEE International Conference on Industrial Technology (ICIT). Valencia, Spain : IEEE. https://doi.org/10.1109/icit46573.2021.9453646","chicago":"Sander, Tom, Sven Lange, Ulrich Hilleringmann, Volker Geneis, Christian Hedayat, Harald Kuhn, and Franz-Barthold Gockel. “Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction.” In 22nd IEEE International Conference on Industrial Technology (ICIT). Valencia, Spain : IEEE, 2021. https://doi.org/10.1109/icit46573.2021.9453646.","ieee":"T. Sander et al., “Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction,” in 22nd IEEE International Conference on Industrial Technology (ICIT), Valencia, Spain , 2021.","short":"T. Sander, S. Lange, U. Hilleringmann, V. Geneis, C. Hedayat, H. Kuhn, F.-B. Gockel, in: 22nd IEEE International Conference on Industrial Technology (ICIT), IEEE, Valencia, Spain , 2021."},"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9453646"}],"title":"Detection of Defects on Irregular Structured Surfaces by Image Processing Methods for Feature Extraction","place":"Valencia, Spain ","publication_status":"published","publication_identifier":{"isbn":["9781728157306"]},"department":[{"_id":"59"},{"_id":"485"}],"doi":"10.1109/icit46573.2021.9453646","date_updated":"2022-01-06T06:55:33Z","language":[{"iso":"eng"}]},{"article_type":"original","abstract":[{"lang":"eng","text":"Modern services consist of interconnected components,e.g., microservices in a service mesh or machine learning functions in a pipeline. These services can scale and run across multiple network nodes on demand. To process incoming traffic, service components have to be instantiated and traffic assigned to these instances, taking capacities, changing demands, and Quality of Service (QoS) requirements into account. This challenge is usually solved with custom approaches designed by experts. While this typically works well for the considered scenario, the models often rely on unrealistic assumptions or on knowledge that is not available in practice (e.g., a priori knowledge).\r\n\r\nWe propose DeepCoord, a novel deep reinforcement learning approach that learns how to best coordinate services and is geared towards realistic assumptions. It interacts with the network and relies on available, possibly delayed monitoring information. Rather than defining a complex model or an algorithm on how to achieve an objective, our model-free approach adapts to various objectives and traffic patterns. An agent is trained offline without expert knowledge and then applied online with minimal overhead. Compared to a state-of-the-art heuristic, DeepCoord significantly improves flow throughput (up to 76%) and overall network utility (more than 2x) on realworld network topologies and traffic traces. It also supports optimizing multiple, possibly competing objectives, learns to respect QoS requirements, generalizes to scenarios with unseen, stochastic traffic, and scales to large real-world networks. For reproducibility and reuse, our code is publicly available."}],"user_id":"35343","ddc":["000"],"file":[{"date_created":"2021-04-27T08:01:26Z","file_name":"ris-accepted-version.pdf","access_level":"open_access","file_size":4172270,"file_id":"21809","creator":"stschn","content_type":"application/pdf","date_updated":"2021-04-27T08:01:26Z","description":"Author version of the accepted paper","relation":"main_file"}],"author":[{"first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","last_name":"Schneider","id":"35343"},{"full_name":"Khalili, Ramin","first_name":"Ramin","last_name":"Khalili"},{"full_name":"Manzoor, Adnan","first_name":"Adnan","last_name":"Manzoor"},{"last_name":"Qarawlus","first_name":"Haydar","full_name":"Qarawlus, Haydar"},{"full_name":"Schellenberg, Rafael","first_name":"Rafael","last_name":"Schellenberg"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"},{"full_name":"Hecker, Artur","first_name":"Artur","last_name":"Hecker"}],"publisher":"IEEE","file_date_updated":"2021-04-27T08:01:26Z","publication":"Transactions on Network and Service Management","keyword":["network management","service management","coordination","reinforcement learning","self-learning","self-adaptation","multi-objective"],"has_accepted_license":"1","status":"public","date_created":"2021-04-27T08:04:16Z","_id":"21808","citation":{"ieee":"S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021.","short":"S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021).","bibtex":"@article{Schneider_Khalili_Manzoor_Qarawlus_Schellenberg_Karl_Hecker_2021, title={Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning}, DOI={10.1109/TNSM.2021.3076503}, journal={Transactions on Network and Service Management}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Khalili, Ramin and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Hecker, Artur}, year={2021} }","mla":"Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” Transactions on Network and Service Management, IEEE, 2021, doi:10.1109/TNSM.2021.3076503.","apa":"Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., & Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2021.3076503","ama":"Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. 2021. doi:10.1109/TNSM.2021.3076503","chicago":"Schneider, Stefan Balthasar, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, and Artur Hecker. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” Transactions on Network and Service Management, 2021. https://doi.org/10.1109/TNSM.2021.3076503."},"type":"journal_article","year":"2021","title":"Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning","department":[{"_id":"75"}],"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"date_updated":"2022-01-06T06:55:15Z","oa":"1","doi":"10.1109/TNSM.2021.3076503","language":[{"iso":"eng"}]},{"year":"2021","citation":{"short":"C. Damke, E. Hüllermeier, in: C. Soares, L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021), Springer, 2021, pp. 166–180.","ieee":"C. Damke and E. Hüllermeier, “Ranking Structured Objects with Graph Neural Networks,” in Proceedings of The 24th International Conference on Discovery Science (DS 2021), Halifax, Canada, 2021, vol. 12986, pp. 166–180, doi: 10.1007/978-3-030-88942-5.","chicago":"Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” In Proceedings of The 24th International Conference on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, 12986:166–80. Lecture Notes in Computer Science. Springer, 2021. https://doi.org/10.1007/978-3-030-88942-5.","apa":"Damke, C., & Hüllermeier, E. (2021). Ranking Structured Objects with Graph Neural Networks. In C. Soares & L. Torgo (Eds.), Proceedings of The 24th International Conference on Discovery Science (DS 2021) (Vol. 12986, pp. 166–180). Springer. https://doi.org/10.1007/978-3-030-88942-5","ama":"Damke C, Hüllermeier E. Ranking Structured Objects with Graph Neural Networks. In: Soares C, Torgo L, eds. Proceedings of The 24th International Conference on Discovery Science (DS 2021). Vol 12986. Lecture Notes in Computer Science. Springer; 2021:166-180. doi:10.1007/978-3-030-88942-5","mla":"Damke, Clemens, and Eyke Hüllermeier. “Ranking Structured Objects with Graph Neural Networks.” Proceedings of The 24th International Conference on Discovery Science (DS 2021), edited by Carlos Soares and Luis Torgo, vol. 12986, Springer, 2021, pp. 166–80, doi:10.1007/978-3-030-88942-5.","bibtex":"@inproceedings{Damke_Hüllermeier_2021, series={Lecture Notes in Computer Science}, title={Ranking Structured Objects with Graph Neural Networks}, volume={12986}, DOI={10.1007/978-3-030-88942-5}, booktitle={Proceedings of The 24th International Conference on Discovery Science (DS 2021)}, publisher={Springer}, author={Damke, Clemens and Hüllermeier, Eyke}, editor={Soares, Carlos and Torgo, Luis}, year={2021}, pages={166–180}, collection={Lecture Notes in Computer Science} }"},"type":"conference","page":"166-180","intvolume":" 12986","_id":"27381","conference":{"end_date":"2021-10-13","location":"Halifax, Canada","name":"24th International Conference on Discovery Science","start_date":"2021-10-11"},"quality_controlled":"1","publisher":"Springer","author":[{"first_name":"Clemens","orcid":"0000-0002-0455-0048","full_name":"Damke, Clemens","last_name":"Damke","id":"48192"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"keyword":["Graph-structured data","Graph neural networks","Preference learning","Learning to rank"],"publication":"Proceedings of The 24th International Conference on Discovery Science (DS 2021)","status":"public","date_created":"2021-11-11T14:15:18Z","volume":12986,"abstract":[{"text":"Graph neural networks (GNNs) have been successfully applied in many structured data domains, with applications ranging from molecular property prediction to the analysis of social networks. Motivated by the broad applicability of GNNs, we propose the family of so-called RankGNNs, a combination of neural Learning to Rank (LtR) methods and GNNs. RankGNNs are trained with a set of pair-wise preferences between graphs, suggesting that one of them is preferred over the other. One practical application of this problem is drug screening, where an expert wants to find the most promising molecules in a large collection of drug candidates. We empirically demonstrate that our proposed pair-wise RankGNN approach either significantly outperforms or at least matches the ranking performance of the naive point-wise baseline approach, in which the LtR problem is solved via GNN-based graph regression.","lang":"eng"}],"user_id":"48192","series_title":"Lecture Notes in Computer Science","language":[{"iso":"eng"}],"date_updated":"2022-04-11T22:08:12Z","doi":"10.1007/978-3-030-88942-5","department":[{"_id":"355"}],"editor":[{"last_name":"Soares","first_name":"Carlos","full_name":"Soares, Carlos"},{"full_name":"Torgo, Luis","first_name":"Luis","last_name":"Torgo"}],"publication_status":"published","publication_identifier":{"issn":["0302-9743","1611-3349"],"isbn":["9783030889418","9783030889425"]},"external_id":{"arxiv":["2104.08869"]},"title":"Ranking Structured Objects with Graph Neural Networks"},{"ddc":["000"],"user_id":"72850","abstract":[{"text":"Ideational impact refers to the uptake of a paper's ideas and concepts by subsequent research. It is defined in stark contrast to total citation impact, a measure predominantly used in research evaluation that assumes that all citations are equal. Understanding ideational impact is critical for evaluating research impact and understanding how scientific disciplines build a cumulative tradition. Research has only recently developed automated citation classification techniques to distinguish between different types of citations and generally does not emphasize the conceptual content of the citations and its ideational impact. To address this problem, we develop Deep Content-enriched Ideational Impact Classification (Deep-CENIC) as the first automated approach for ideational impact classification to support researchers' literature search practices. We evaluate Deep-CENIC on 1,256 papers citing 24 information systems review articles from the IT business value domain. We show that Deep-CENIC significantly outperforms state-of-the-art benchmark models. We contribute to information systems research by operationalizing the concept of ideational impact, designing a recommender system for academic papers based on deep learning techniques, and empirically exploring the ideational impact of the IT business value domain.\r\n","lang":"eng"}],"volume":140,"has_accepted_license":"1","status":"public","date_created":"2020-10-27T13:28:21Z","author":[{"last_name":"Prester","full_name":"Prester, Julian","first_name":"Julian"},{"last_name":"Wagner","full_name":"Wagner, Gerit","first_name":"Gerit"},{"id":"72850","last_name":"Schryen","full_name":"Schryen, Guido","first_name":"Guido"},{"last_name":"Hassan","first_name":"Nik Rushdi","full_name":"Hassan, Nik Rushdi"}],"file_date_updated":"2020-10-27T13:31:01Z","publication":"Decision Support Systems","keyword":["Ideational impact","citation classification","academic recommender systems","natural language processing","deep learning","cumulative tradition"],"file":[{"relation":"main_file","date_updated":"2020-10-27T13:31:01Z","content_type":"application/pdf","creator":"hsiemes","file_id":"20213","file_size":440903,"access_level":"open_access","date_created":"2020-10-27T13:31:01Z","file_name":"DECSUP-D-20-00312 - PREPUBLICATION.pdf"}],"article_number":"113432","issue":"January","_id":"20212","intvolume":" 140","type":"journal_article","citation":{"ieee":"J. Prester, G. Wagner, G. Schryen, and N. R. Hassan, “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach,” Decision Support Systems, vol. 140, no. January, Art. no. 113432, 2021.","short":"J. Prester, G. Wagner, G. Schryen, N.R. Hassan, Decision Support Systems 140 (2021).","mla":"Prester, Julian, et al. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision Support Systems, vol. 140, no. January, 113432, 2021.","bibtex":"@article{Prester_Wagner_Schryen_Hassan_2021, title={Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach}, volume={140}, number={January113432}, journal={Decision Support Systems}, author={Prester, Julian and Wagner, Gerit and Schryen, Guido and Hassan, Nik Rushdi}, year={2021} }","apa":"Prester, J., Wagner, G., Schryen, G., & Hassan, N. R. (2021). Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. Decision Support Systems, 140(January), Article 113432.","ama":"Prester J, Wagner G, Schryen G, Hassan NR. Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach. Decision Support Systems. 2021;140(January).","chicago":"Prester, Julian, Gerit Wagner, Guido Schryen, and Nik Rushdi Hassan. “Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach.” Decision Support Systems 140, no. January (2021)."},"year":"2021","title":"Classifying the Ideational Impact of Information Systems Review Articles: A Content-Enriched Deep Learning Approach","department":[{"_id":"277"}],"oa":"1","date_updated":"2022-06-10T06:55:32Z","language":[{"iso":"eng"}]},{"year":"2021","citation":{"chicago":"Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.","ama":"Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.; 2021.","apa":"Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.","bibtex":"@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider, Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021} }","mla":"Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.","short":"S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.","ieee":"S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021."},"type":"working_paper","language":[{"iso":"eng"}],"oa":"1","date_updated":"2022-11-18T09:59:27Z","_id":"33854","status":"public","has_accepted_license":"1","date_created":"2022-10-20T16:44:19Z","project":[{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"},{"name":"SFB 901: SFB 901","_id":"1"}],"author":[{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"},{"full_name":"Khalili, Ramin","first_name":"Ramin","last_name":"Khalili"},{"full_name":"Hecker, Artur","first_name":"Artur","last_name":"Hecker"}],"department":[{"_id":"75"}],"keyword":["mobility management","coordinated multipoint","CoMP","cell selection","resource management","reinforcement learning","multi agent","MARL","self-learning","self-adaptation","QoE"],"file_date_updated":"2022-10-20T16:41:10Z","file":[{"date_created":"2022-10-20T16:41:10Z","file_name":"preprint.pdf","access_level":"open_access","creator":"stschn","file_id":"33855","file_size":2521656,"relation":"main_file","content_type":"application/pdf","date_updated":"2022-10-20T16:41:10Z"}],"title":"DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning","ddc":["004"],"user_id":"477","abstract":[{"text":"Macrodiversity is a key technique to increase the capacity of mobile networks. It can be realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple overlapping cells. Selecting which users to serve by how many and which cells is NP-hard but needs to happen continuously in real time as users move and channel state changes. Existing approaches often require strict assumptions about or perfect knowledge of the underlying radio system, its resource allocation scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead, we propose three novel self-learning and self-adapting approaches using model-free deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages central observations and control of all users to select cells almost optimally. DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and highly scalable coordination. All three approaches learn from experience and self-adapt to varying scenarios, reaching 2x higher Quality of Experience than other approaches. They have very few built-in assumptions and do not need prior system knowledge, making them more robust to change and better applicable in practice than existing approaches.","lang":"eng"}]},{"place":"Wiesbaden","title":"Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis","related_material":{"link":[{"relation":"confirmation","url":"https://link.springer.com/chapter/10.1007%2F978-3-658-32568-8_22"}]},"department":[{"_id":"452"}],"editor":[{"first_name":"Carina","full_name":"Caruso, Carina","last_name":"Caruso"},{"last_name":"Harteis","first_name":"Christian","full_name":"Harteis, Christian"},{"last_name":"Gröschner","full_name":"Gröschner, Alexander","first_name":"Alexander"}],"publication_identifier":{"issn":["2524-8677","2524-8685"],"isbn":["9783658325671","9783658325688"]},"publication_status":"published","date_updated":"2022-02-03T13:26:19Z","doi":"10.1007/978-3-658-32568-8_22","language":[{"iso":"ger"}],"abstract":[{"lang":"ger","text":"Das Studium der Wirtschaftspädagogik bereitet Studierende auf das didaktische Handeln in beruflichen Lehr-Lernkontexten (u. a. berufliche Schulen, Ausbildung in Betrieben) vor. Theorie-Praxis-Verzahnung ist somit aus zwei Perspektiven zu modellieren: Einerseits geht es um den Aufbau eines fachwissenschaftlichen Verständnisses, welches von den Handlungszusammenhängen in einer beruflichen Domäne mit kaufmännisch-verwaltenden Bezügen ausgeht und weniger auf einer rein fachwissenschaftlichen Bildung beruht. Die zukünftige Berufspraxis der Schülerinnen und Schüler muss in den Blick genommen werden. Andererseits geht es um die Professionalisierung als pädagogisches Personal, welches berufsbezogene Lernprozesse fachdidaktisch gestalten kann. Die zukünftige Lehrpraxis in beruflichen Lehr-Lernkontexten ist in den Blick zu nehmen. Zielstellung des Beitrages ist es, diese doppelte Theorie-Praxis-Verzahnung als Konstitutionsmerkmal der Wirtschaftspädagogik aufzuzeigen (Abschn. 2), um darauf basierend anhand von Theorien des Lernens am Arbeitsplatz Potenziale und Grenzen des Lernortes Praxis als Beitrag zur Professionalisierung angehender Wirtschaftspädagog*innen im Studium herauszuarbeiten (Abschn. 3). Am Beispiel des Konzeptes von Universitätsschulen soll eine Umsetzungsvariante zur Theorie-Praxis-Verzahnung unter Herausarbeitung der Potenziale der jeweiligen Lernorte Schule und Universität aufgezeigt werden (Abschn. 4)."}],"user_id":"79910","author":[{"first_name":"Karl-Heinz","full_name":"Gerholz, Karl-Heinz","last_name":"Gerholz"},{"id":"30984","last_name":"Goller","orcid":"0000-0002-2820-9178","full_name":"Goller, Michael","first_name":"Michael"}],"publisher":"Springer","keyword":["Berufliche Lehrerbildung","Professional Learning","Theorie-Praxis-Verzahnung","Wirtschaftspädagogik","Universitätsschulen"],"publication":"Edition Fachdidaktiken","status":"public","date_created":"2021-12-22T17:20:50Z","_id":"29102","citation":{"ama":"Gerholz K-H, Goller M. Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis. In: Caruso C, Harteis C, Gröschner A, eds. Edition Fachdidaktiken. Springer; 2021:393-419. doi:10.1007/978-3-658-32568-8_22","apa":"Gerholz, K.-H., & Goller, M. (2021). Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis. In C. Caruso, C. Harteis, & A. Gröschner (Eds.), Edition Fachdidaktiken (pp. 393–419). Springer. https://doi.org/10.1007/978-3-658-32568-8_22","chicago":"Gerholz, Karl-Heinz, and Michael Goller. “Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis.” In Edition Fachdidaktiken, edited by Carina Caruso, Christian Harteis, and Alexander Gröschner, 393–419. Wiesbaden: Springer, 2021. https://doi.org/10.1007/978-3-658-32568-8_22.","mla":"Gerholz, Karl-Heinz, and Michael Goller. “Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis.” Edition Fachdidaktiken, edited by Carina Caruso et al., Springer, 2021, pp. 393–419, doi:10.1007/978-3-658-32568-8_22.","bibtex":"@inbook{Gerholz_Goller_2021, place={Wiesbaden}, title={Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis}, DOI={10.1007/978-3-658-32568-8_22}, booktitle={Edition Fachdidaktiken}, publisher={Springer}, author={Gerholz, Karl-Heinz and Goller, Michael}, editor={Caruso, Carina and Harteis, Christian and Gröschner, Alexander}, year={2021}, pages={393–419} }","short":"K.-H. Gerholz, M. Goller, in: C. Caruso, C. Harteis, A. Gröschner (Eds.), Edition Fachdidaktiken, Springer, Wiesbaden, 2021, pp. 393–419.","ieee":"K.-H. Gerholz and M. Goller, “Theorie-Praxis-Verzahnung in der Wirtschaftspädagogik: Potenziale und Grenzen des Lernortes Praxis,” in Edition Fachdidaktiken, C. Caruso, C. Harteis, and A. Gröschner, Eds. Wiesbaden: Springer, 2021, pp. 393–419."},"type":"book_chapter","year":"2021","page":"393-419"},{"main_file_link":[{"url":"https://link.springer.com/content/pdf/10.1007/s10984-021-09377-8.pdf","open_access":"1"}],"citation":{"bibtex":"@article{Bonanati_Buhl_2021, title={The digital home learning environment and its relation to children’s ICT self-efficacy}, volume={25}, DOI={10.1007/s10984-021-09377-8}, number={2}, journal={Learning Environments Research}, publisher={Springer Science and Business Media LLC}, author={Bonanati, Sabrina and Buhl, Heike M.}, year={2021}, pages={485–505} }","mla":"Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.” Learning Environments Research, vol. 25, no. 2, Springer Science and Business Media LLC, 2021, pp. 485–505, doi:10.1007/s10984-021-09377-8.","chicago":"Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.” Learning Environments Research 25, no. 2 (2021): 485–505. https://doi.org/10.1007/s10984-021-09377-8.","apa":"Bonanati, S., & Buhl, H. M. (2021). The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research, 25(2), 485–505. https://doi.org/10.1007/s10984-021-09377-8","ama":"Bonanati S, Buhl HM. The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research. 2021;25(2):485-505. doi:10.1007/s10984-021-09377-8","ieee":"S. Bonanati and H. M. Buhl, “The digital home learning environment and its relation to children’s ICT self-efficacy,” Learning Environments Research, vol. 25, no. 2, pp. 485–505, 2021, doi: 10.1007/s10984-021-09377-8.","short":"S. Bonanati, H.M. Buhl, Learning Environments Research 25 (2021) 485–505."},"type":"journal_article","year":"2021","page":"485-505","_id":"32558","intvolume":" 25","issue":"2","publisher":"Springer Science and Business Media LLC","author":[{"first_name":"Sabrina","full_name":"Bonanati, Sabrina","last_name":"Bonanati"},{"last_name":"Buhl","id":"27152","first_name":"Heike M.","full_name":"Buhl, Heike M."}],"publication":"Learning Environments Research","keyword":["Digital media use","Gender","Home learning environment","ICT self-efcacy","Motivation","Parental involvement"],"volume":25,"status":"public","date_created":"2022-08-03T05:53:48Z","abstract":[{"text":"With the rapid progress of technological development, self-efficacy in reference to digital devices (i.e., information and computer technology [ICT] self-efficacy) is an important driver that helps students to deal with technological problems and support their lifelong learning processes. Schools, peers, and home learning environments are important sources for the development of positive self-efficacy. Expanding on previous research, we investigated the associations between different aspects of the digital home learning environment and students’ ICT self-efficacy. The moderation effects of gender were also tested. A total of 651 children answered a questionnaire about different digital home learning environment dimensions and estimated their ICT self-efficacy using an adapted scale—Schwarzer and Jerusalem’s (1999) general self-efficacy scale. Using the structural equation modeling technique, a digital home learning environment containing six different qualities of parental support was investigated. Families’ cultural capital, parents’ attitudes toward the Internet, and shared Internet activities at home contributed positively to ICT self-efficacy. We observed small gender differences, with the moderation effect being nonsignificant. The results help researchers and practitioners to understand how different dimensions of the digital home learning environment support ICT self-efficacy. We will discuss how parents can enhance the home learning environment and how teachers can integrate this knowledge into formal education.","lang":"eng"}],"user_id":"42165","language":[{"iso":"eng"}],"date_updated":"2022-08-29T06:36:37Z","doi":"10.1007/s10984-021-09377-8","oa":"1","department":[{"_id":"427"}],"publication_identifier":{"issn":["1387-1579","1573-1855"]},"publication_status":"published","title":"The digital home learning environment and its relation to children’s ICT self-efficacy"},{"year":"2021","citation":{"ieee":"M. Goller, C. Caruso, and C. Harteis, “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers,” International Journal for Research in Vocational Education and Training, vol. 8, no. 2, pp. 208–223, 2021, doi: 10.13152/IJRVET.8.2.4.","short":"M. Goller, C. Caruso, C. Harteis, International Journal for Research in Vocational Education and Training 8 (2021) 208–223.","mla":"Goller, Michael, et al. “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers.” International Journal for Research in Vocational Education and Training, vol. 8, no. 2, 2021, pp. 208–223, doi:10.13152/IJRVET.8.2.4.","bibtex":"@article{Goller_Caruso_Harteis_2021, title={Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers}, volume={8}, DOI={10.13152/IJRVET.8.2.4.}, number={2}, journal={International Journal for Research in Vocational Education and Training}, author={Goller, Michael and Caruso, Carina and Harteis, Christian}, year={2021}, pages={208–223} }","chicago":"Goller, Michael, Carina Caruso, and Christian Harteis. “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers.” International Journal for Research in Vocational Education and Training 8, no. 2 (2021): 208–223. https://doi.org/10.13152/IJRVET.8.2.4.","apa":"Goller, M., Caruso, C., & Harteis, C. (2021). Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers. International Journal for Research in Vocational Education and Training, 8(2), 208–223. https://doi.org/10.13152/IJRVET.8.2.4.","ama":"Goller M, Caruso C, Harteis C. Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers. International Journal for Research in Vocational Education and Training. 2021;8(2):208–223. doi:10.13152/IJRVET.8.2.4."},"type":"journal_article","page":"208–223","intvolume":" 8","_id":"35202","issue":"2","author":[{"id":"30984","last_name":"Goller","full_name":"Goller, Michael","orcid":"0000-0002-2820-9178","first_name":"Michael"},{"last_name":"Caruso","id":"23123","first_name":"Carina","full_name":"Caruso, Carina"},{"orcid":"https://orcid.org/0000-0002-3570-7626","full_name":"Harteis, Christian","first_name":"Christian","id":"27503","last_name":"Harteis"}],"publication":"International Journal for Research in Vocational Education and Training","keyword":["Work-Based Learning","Organisational Change","Digital Competences","Qualitative Research","Digitalisation","Farming","Dairy","VET","Vocational Education and Training"],"status":"public","date_created":"2023-01-04T10:08:59Z","volume":8,"abstract":[{"text":"Purpose: This study aims at investigating how digitalisation (in the sense of industry 4.0) has changed the work of farmers and how they experience the changes from more traditional work to digitalised agriculture. It also investigates what knowledge farmers require on digitalised farms and how they acquire it. Dairy farming was used as domain of investigation since it, unlike other industries, has strongly been affected by digitalisation throughout the last years.\r\n\r\nMethod: Exploratory interviews with 10 livestock farmers working on digitalised dairy farms were analysed using qualitative content analysis. A deductive and inductive coding strategy was used. \r\n\r\nFindings: Farming work has changed from more manual tasks towards symbol manipulation and data processing. Farmers must be able to use computers and other digital devices to retrieve and analyse sensor data that allow them to monitor and control the processes on their farm. For this new kind of work, farmers require elaborated mental models that link traditional farming knowledge with knowledge about digital systems, including a strong understanding of production processes underlying their farm. Learning is mostly based on instructions offered by manufacturers of the new technology as well as informal and non-formal learning modes. Even younger farmers report that digital technology was not sufficiently covered in their (vocational) degrees. In general, farmers emphasises the positive effects of digitalisation both on their working as well as private life. \r\n\r\nConclusions: Farmers should be aware of the opportunities as well as the potential drawbacks of the digitalisation of work processes in agriculture. Providers of agricultural education (like vocational schools or training institutes) need to incorporate the knowledge and skills required to work in digitalised environments (e.g., data literacy) in their syllabi. Further studies are required to assess how digitalisation changes farming practices and what knowledge as well as skills linked to these developments are required in the future.","lang":"eng"}],"user_id":"86519","language":[{"iso":"eng"}],"date_updated":"2023-01-06T12:17:27Z","doi":"10.13152/IJRVET.8.2.4.","publication_identifier":{"issn":["2197-8646"]},"publication_status":"published","title":"Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers"},{"doi":"10.1007/978-3-030-55878-9_6","date_updated":"2023-01-09T10:39:26Z","language":[{"iso":"eng"}],"title":"The Concept of a Digital Twin and Its Potential for Learning Organizations","place":"Cham","publication_status":"published","publication_identifier":{"isbn":["978-3-030-55877-2"],"eisbn":["978-3-030-55878-9"]},"editor":[{"full_name":"Ifenthaler, Dirk","first_name":"Dirk","last_name":"Ifenthaler"},{"full_name":"Hofhues, Sandra","first_name":"Sandra","last_name":"Hofhues"},{"last_name":"Egloffstein","full_name":"Egloffstein, Marc","first_name":"Marc"},{"first_name":"Christian","full_name":"Helbig, Christian","last_name":"Helbig"}],"_id":"35464","page":" 95–114","citation":{"bibtex":"@inbook{Berisha-Gawlowski_Caruso_Harteis_2021, place={Cham}, title={The Concept of a Digital Twin and Its Potential for Learning Organizations}, DOI={10.1007/978-3-030-55878-9_6}, booktitle={Digital Transformation of Learning Organizations }, publisher={Springer}, author={Berisha-Gawlowski, Angelina and Caruso, Carina and Harteis, Christian}, editor={Ifenthaler, Dirk and Hofhues, Sandra and Egloffstein, Marc and Helbig, Christian}, year={2021}, pages={95–114} }","mla":"Berisha-Gawlowski, Angelina, et al. “The Concept of a Digital Twin and Its Potential for Learning Organizations.” Digital Transformation of Learning Organizations , edited by Dirk Ifenthaler et al., Springer, 2021, pp. 95–114, doi:10.1007/978-3-030-55878-9_6.","chicago":"Berisha-Gawlowski, Angelina, Carina Caruso, and Christian Harteis. “The Concept of a Digital Twin and Its Potential for Learning Organizations.” In Digital Transformation of Learning Organizations , edited by Dirk Ifenthaler, Sandra Hofhues, Marc Egloffstein, and Christian Helbig, 95–114. Cham: Springer, 2021. https://doi.org/10.1007/978-3-030-55878-9_6.","apa":"Berisha-Gawlowski, Angelina, Caruso, C., & Harteis, C. (2021). The Concept of a Digital Twin and Its Potential for Learning Organizations. In D. Ifenthaler, S. Hofhues, M. Egloffstein, & C. Helbig (Eds.), Digital Transformation of Learning Organizations (pp. 95–114). Springer. https://doi.org/10.1007/978-3-030-55878-9_6","ama":"Berisha-Gawlowski Angelina, Caruso C, Harteis C. The Concept of a Digital Twin and Its Potential for Learning Organizations. In: Ifenthaler D, Hofhues S, Egloffstein M, Helbig C, eds. Digital Transformation of Learning Organizations . Springer; 2021:95–114. doi:10.1007/978-3-030-55878-9_6","ieee":"Angelina Berisha-Gawlowski, C. Caruso, and C. Harteis, “The Concept of a Digital Twin and Its Potential for Learning Organizations,” in Digital Transformation of Learning Organizations , D. Ifenthaler, S. Hofhues, M. Egloffstein, and C. Helbig, Eds. Cham: Springer, 2021, pp. 95–114.","short":"Angelina Berisha-Gawlowski, C. Caruso, C. Harteis, in: D. Ifenthaler, S. Hofhues, M. Egloffstein, C. Helbig (Eds.), Digital Transformation of Learning Organizations , Springer, Cham, 2021, pp. 95–114."},"type":"book_chapter","year":"2021","user_id":"86519","abstract":[{"lang":"eng","text":"The digital transformation of organizations in the industrial sector is primarily driven by the opportunity to increase productivity while simultaneously reducing costs through integration into a cyber-physical system. One way to fully tap the potential of a cyber-physical system is the concept of the digital twin, i.e., the real-time digital representation of machines and resources involved – including human resources. The vision of representing humans by digital twins primarily aims at increasing economic benefits. The digital twin of a human, however, cannot be designed in a similar way to that of a machine. The human digital twin shall rather enable humans to act within the cyber-physical system. It therefore offers humans a power of control and the opportunity to provide feedback. The concept of the digital twin is still in its infancy and raises many questions in particular from an educational perspective. The contribution aims at answering the following questions and refers to the example of team learning: Which and how much data should and may the digital twin contain in order to support humans in their learning? To what extent will humans be able to control and design their own learning? How may skills, experiences, and social interactions of humans be represented in the digital twin; their growth and further development, respectively? With cyber-physical systems transcending corporate, national, and legal boundaries, what learning culture will be the frame of reference for the involved organizations?"}],"date_created":"2023-01-09T10:38:42Z","status":"public","keyword":["Digital twin","Learning organization","Change","Team learning","Professional development"],"publication":"Digital Transformation of Learning Organizations ","author":[{"last_name":"Berisha-Gawlowski","full_name":"Berisha-Gawlowski, Angelina","first_name":" Angelina"},{"last_name":"Caruso","id":"23123","first_name":"Carina","full_name":"Caruso, Carina"},{"full_name":"Harteis, Christian","orcid":"https://orcid.org/0000-0002-3570-7626","first_name":"Christian","id":"27503","last_name":"Harteis"}],"publisher":"Springer"},{"citation":{"bibtex":"@book{Schneider_2021, title={Conventional and Machine Learning Approaches for Network and Service Coordination}, author={Schneider, Stefan Balthasar}, year={2021} }","mla":"Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.","chicago":"Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination, 2021.","apa":"Schneider, S. B. (2021). Conventional and Machine Learning Approaches for Network and Service Coordination.","ama":"Schneider SB. Conventional and Machine Learning Approaches for Network and Service Coordination.; 2021.","ieee":"S. B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.","short":"S.B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination, 2021."},"year":"2021","type":"working_paper","language":[{"iso":"eng"}],"date_updated":"2023-01-10T15:09:05Z","_id":"35889","oa":"1","author":[{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011"}],"file_date_updated":"2023-01-10T15:07:03Z","keyword":["nfv","coordination","machine learning","reinforcement learning","phd","digest"],"department":[{"_id":"75"}],"file":[{"content_type":"application/pdf","date_updated":"2023-01-10T15:07:03Z","relation":"main_file","file_size":133340,"file_id":"35890","creator":"stschn","access_level":"open_access","date_created":"2023-01-10T15:07:03Z","file_name":"main.pdf"}],"has_accepted_license":"1","status":"public","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"}],"date_created":"2023-01-10T15:08:50Z","abstract":[{"text":"Network and service coordination is important to provide modern services consisting of multiple interconnected components, e.g., in 5G, network function virtualization (NFV), or cloud and edge computing. In this paper, I outline my dissertation research, which proposes six approaches to automate such network and service coordination. All approaches dynamically react to the current demand and optimize coordination for high service quality and low costs. The approaches range from centralized to distributed methods and from conventional heuristic algorithms and mixed-integer linear programs to machine learning approaches using supervised and reinforcement learning. I briefly discuss their main ideas and advantages over other state-of-the-art approaches and compare strengths and weaknesses.","lang":"eng"}],"title":"Conventional and Machine Learning Approaches for Network and Service Coordination","ddc":["004"],"user_id":"35343"},{"abstract":[{"lang":"eng","text":"Over the last years, several approaches for the data-driven estimation of expected possession value (EPV) in basketball and association football (soccer) have been proposed. In this paper, we develop and evaluate PIVOT: the first such framework for team handball. Accounting for the fast-paced, dynamic nature and relative data scarcity of hand- ball, we propose a parsimonious end-to-end deep learning architecture that relies solely on tracking data. This efficient approach is capable of predicting the probability that a team will score within the near future given the fine-grained spatio-temporal distribution of all players and the ball over the last seconds of the game. Our experiments indicate that PIVOT is able to produce accurate and calibrated probability estimates, even when trained on a relatively small dataset. We also showcase two interactive applications of PIVOT for valuing actual and counterfactual player decisions and actions in real-time."}],"title":"PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data","user_id":"60721","author":[{"full_name":"Müller, Oliver","first_name":"Oliver","id":"72849","last_name":"Müller"},{"first_name":"Matthew","full_name":"Caron, Matthew","last_name":"Caron","id":"60721"},{"last_name":"Döring","first_name":"Michael","full_name":"Döring, Michael"},{"full_name":"Heuwinkel, Tim","first_name":"Tim","last_name":"Heuwinkel"},{"last_name":"Baumeister","id":"46","first_name":"Jochen","full_name":"Baumeister, Jochen","orcid":"0000-0003-2683-5826"}],"department":[{"_id":"196"},{"_id":"172"}],"publication":"8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)","keyword":["expected possession value","handball","tracking data","time series classification","deep learning"],"publication_status":"inpress","status":"public","date_created":"2021-09-16T08:33:04Z","_id":"24547","date_updated":"2023-02-28T08:58:24Z","conference":{"location":"Online","name":"European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021)","start_date":"2021-09-13","end_date":"2021-09-17"},"main_file_link":[{"url":"https://dtai.cs.kuleuven.be/events/MLSA21/papers/MLSA21_paper_muller.pdf"}],"year":"2021","citation":{"short":"O. Müller, M. Caron, M. Döring, T. Heuwinkel, J. Baumeister, in: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.","ieee":"O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.","apa":"Müller, O., Caron, M., Döring, M., Heuwinkel, T., & Baumeister, J. (n.d.). PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.","ama":"Müller O, Caron M, Döring M, Heuwinkel T, Baumeister J. PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. In: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021).","chicago":"Müller, Oliver, Matthew Caron, Michael Döring, Tim Heuwinkel, and Jochen Baumeister. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” In 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.","bibtex":"@inproceedings{Müller_Caron_Döring_Heuwinkel_Baumeister, title={PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data}, booktitle={8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)}, author={Müller, Oliver and Caron, Matthew and Döring, Michael and Heuwinkel, Tim and Baumeister, Jochen} }","mla":"Müller, Oliver, et al. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)."},"type":"conference","language":[{"iso":"eng"}]},{"page":"500-538","type":"journal_article","citation":{"short":"J. Bruns, H. Gasteiger, C. Strahl, Review of Education 9 (2021) 500–538.","ieee":"J. Bruns, H. Gasteiger, and C. Strahl, “Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review,” Review of Education, vol. 9, no. 2, pp. 500–538, 2021, doi: 10.1002/rev3.3255.","chicago":"Bruns, Julia, Hedwig Gasteiger, and Carolin Strahl. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.” Review of Education 9, no. 2 (2021): 500–538. https://doi.org/10.1002/rev3.3255.","apa":"Bruns, J., Gasteiger, H., & Strahl, C. (2021). Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education, 9(2), 500–538. https://doi.org/10.1002/rev3.3255","ama":"Bruns J, Gasteiger H, Strahl C. Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education. 2021;9(2):500-538. doi:10.1002/rev3.3255","bibtex":"@article{Bruns_Gasteiger_Strahl_2021, title={Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review}, volume={9}, DOI={10.1002/rev3.3255}, number={2}, journal={Review of Education}, publisher={Wiley}, author={Bruns, Julia and Gasteiger, Hedwig and Strahl, Carolin}, year={2021}, pages={500–538} }","mla":"Bruns, Julia, et al. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.” Review of Education, vol. 9, no. 2, Wiley, 2021, pp. 500–38, doi:10.1002/rev3.3255."},"year":"2021","issue":"2","_id":"34822","intvolume":" 9","date_created":"2022-12-22T09:22:46Z","status":"public","volume":9,"publication":"Review of Education","keyword":["content knowledge","domain-specific learning","early childhood education","teacher knowledge"],"publisher":"Wiley","quality_controlled":"1","author":[{"orcid":"https://orcid.org/0000-0002-6604-5864","full_name":"Bruns, Julia","first_name":"Julia","id":"72183","last_name":"Bruns"},{"last_name":"Gasteiger","first_name":"Hedwig","full_name":"Gasteiger, Hedwig"},{"first_name":"Carolin","full_name":"Strahl, Carolin","last_name":"Strahl"}],"user_id":"49063","abstract":[{"text":"The role of domain-specific content knowledge is discussed controversially for the early childhood context. Therefore, this review aims at untangling the research on domain-specific content knowledge for early childhood educators by systematically reviewing the conceptual and operational definition of and results on early childhood educators' content knowledge in different domains. Using the scientific databases ERIC, PsycInfo and Web of Sciences, we identified 36 studies on early childhood educators' domain-specific content knowledge. By comparing these studies, we found that conceptualizations of early childhood educators' content knowledge move on a continuum between a scientific related perspective and a practice related perspective. The scientific related perspective defines content knowledge as the knowledge of key concepts, facts and rules of the domain integrating knowledge taught in primary, secondary or upper secondary school. The practice related perspective includes knowledge of key concepts, facts and rules of the domain limited to the knowledge explicitly relevant for teaching in early childhood education as well as selected domain-specific knowledge of children and teaching. Our review shows that the results and implications drawn by the study authors depend on how these authors conceptualize early childhood educators' content knowledge on this continuum. Further research, therefore, needs to consider carefully how early childhood educators' content knowledge is conceptualized. The paper further discusses gaps in this research field, such as validating methods for measuring early childhood educators' content knowledge or implementing more rigorous experimental designs to examine effects of early childhood educators' content knowledge.","lang":"eng"}],"article_type":"review","language":[{"iso":"eng"}],"doi":"10.1002/rev3.3255","date_updated":"2023-06-20T19:04:34Z","publication_identifier":{"issn":["2049-6613"]},"publication_status":"published","isi":"1","department":[{"_id":"611"},{"_id":"97"}],"title":"Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review","external_id":{"isi":["000614156400001"]}},{"file":[{"file_name":"ris_with_copyright.pdf","date_created":"2020-09-22T06:29:16Z","access_level":"open_access","file_size":642999,"file_id":"19610","creator":"stschn","content_type":"application/pdf","date_updated":"2020-09-22T06:36:00Z","relation":"main_file"}],"author":[{"orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar","id":"35343","last_name":"Schneider"},{"full_name":"Manzoor, Adnan","first_name":"Adnan","last_name":"Manzoor"},{"last_name":"Qarawlus","full_name":"Qarawlus, Haydar","first_name":"Haydar"},{"first_name":"Rafael","full_name":"Schellenberg, Rafael","last_name":"Schellenberg"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"},{"full_name":"Khalili, Ramin","first_name":"Ramin","last_name":"Khalili"},{"full_name":"Hecker, Artur","first_name":"Artur","last_name":"Hecker"}],"publisher":"IEEE","file_date_updated":"2020-09-22T06:36:00Z","publication":"IEEE International Conference on Network and Service Management (CNSM)","keyword":["self-driving networks","self-learning","network coordination","service coordination","reinforcement learning","deep learning","nfv"],"has_accepted_license":"1","status":"public","date_created":"2020-09-22T06:28:22Z","abstract":[{"text":"Modern services comprise interconnected components,\r\ne.g., microservices in a service mesh, that can scale and\r\nrun on multiple nodes across the network on demand. To process\r\nincoming traffic, service components have to be instantiated and\r\ntraffic assigned to these instances, taking capacities and changing\r\ndemands into account. This challenge is usually solved with\r\ncustom approaches designed by experts. While this typically\r\nworks well for the considered scenario, the models often rely\r\non unrealistic assumptions or on knowledge that is not available\r\nin practice (e.g., a priori knowledge).\r\n\r\nWe propose a novel deep reinforcement learning approach that\r\nlearns how to best coordinate services and is geared towards\r\nrealistic assumptions. It interacts with the network and relies on\r\navailable, possibly delayed monitoring information. Rather than\r\ndefining a complex model or an algorithm how to achieve an\r\nobjective, our model-free approach adapts to various objectives\r\nand traffic patterns. An agent is trained offline without expert\r\nknowledge and then applied online with minimal overhead. Compared\r\nto a state-of-the-art heuristic, it significantly improves flow\r\nthroughput and overall network utility on real-world network\r\ntopologies and traffic traces. It also learns to optimize different\r\nobjectives, generalizes to scenarios with unseen, stochastic traffic\r\npatterns, and scales to large real-world networks.","lang":"eng"}],"user_id":"35343","ddc":["006"],"type":"conference","year":"2020","citation":{"short":"S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, A. Hecker, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.","ieee":"S. B. Schneider et al., “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Network and Service Management (CNSM), 2020.","chicago":"Schneider, Stefan Balthasar, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Ramin Khalili, and Artur Hecker. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Network and Service Management (CNSM). IEEE, 2020.","apa":"Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., & Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Network and Service Management (CNSM). IEEE.","ama":"Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.","mla":"Schneider, Stefan Balthasar, et al. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.","bibtex":"@inproceedings{Schneider_Manzoor_Qarawlus_Schellenberg_Karl_Khalili_Hecker_2020, title={Self-Driving Network and Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Network and Service Management (CNSM)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2020} }"},"_id":"19609","department":[{"_id":"75"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"title":"Self-Driving Network and Service Coordination Using Deep Reinforcement Learning","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:54:08Z","oa":"1"},{"year":"2020","type":"conference","citation":{"mla":"Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.","bibtex":"@inproceedings{Kersting_Bäumer_2020, title={SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH}, booktitle={PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020}, publisher={IADIS}, author={Kersting, Joschka and Bäumer, Frederik Simon}, year={2020}, pages={119--123} }","chicago":"Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123. IADIS, 2020.","apa":"Kersting, J., & Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123.","ama":"Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020. IADIS; 2020:119--123.","ieee":"J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, Lisbon, Portugal, 2020, pp. 119--123.","short":"J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123."},"page":"119--123","_id":"18686","conference":{"end_date":"20.11.2020","location":"Lisbon, Portugal","name":"17th International Conference on Applied Computing","start_date":"18.11.2020"},"has_accepted_license":"1","status":"public","date_created":"2020-08-31T10:59:54Z","file":[{"access_level":"closed","date_created":"2020-11-19T17:29:03Z","file_name":"Kersting & Bäumer (2020), Kersting2020d.pdf","content_type":"application/pdf","date_updated":"2020-11-19T17:29:03Z","success":1,"relation":"main_file","file_size":1064877,"file_id":"20443","creator":"jkers"}],"publisher":"IADIS","author":[{"first_name":"Joschka","full_name":"Kersting, Joschka","last_name":"Kersting","id":"58701"},{"full_name":"Bäumer, Frederik Simon","first_name":"Frederik Simon","id":"38837","last_name":"Bäumer"}],"keyword":["Software Requirements","Natural Language Processing","Transfer Learning","On-The-Fly Computing"],"publication":"PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020","file_date_updated":"2020-11-19T17:29:03Z","user_id":"58701","ddc":["000"],"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:53:51Z","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"department":[{"_id":"579"}],"title":"SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH"},{"_id":"15580","conference":{"name":"International Conference on Agents and Artificial Intelligence (ICAART) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI)","location":"Valetta, Malta"},"type":"conference","citation":{"ieee":"J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta, 2020, pp. 391--400.","short":"J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.","bibtex":"@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={391--400} }","mla":"Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, 2020, pp. 391--400.","apa":"Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.","ama":"Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS; 2020:391--400.","chicago":"Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), 391--400. Setúbal, Portugal: SCITEPRESS, 2020."},"year":"2020","page":"391--400","abstract":[{"text":"This paper deals with aspect phrase extraction and classification in sentiment analysis. We summarize current approaches and datasets from the domain of aspect-based sentiment analysis. This domain detects sentiments expressed for individual aspects in unstructured text data. So far, mainly commercial user reviews for products or services such as restaurants were investigated. We here present our dataset consisting of German physician reviews, a sensitive and linguistically complex field. Furthermore, we describe the annotation process of a dataset for supervised learning with neural networks. Moreover, we introduce our model for extracting and classifying aspect phrases in one step, which obtains an F1-score of 80%. By applying it to a more complex domain, our approach and results outperform previous approaches.","lang":"eng"}],"ddc":["000"],"user_id":"58701","author":[{"full_name":"Kersting, Joschka","first_name":"Joschka","id":"58701","last_name":"Kersting"},{"first_name":"Michaela","orcid":"0000-0002-8180-5606","full_name":"Geierhos, Michaela","last_name":"Geierhos","id":"42496"}],"publisher":"SCITEPRESS","keyword":["Deep Learning","Natural Language Processing","Aspect-based Sentiment Analysis"],"file_date_updated":"2020-09-18T09:27:00Z","publication":"Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)","file":[{"date_created":"2020-09-18T09:27:00Z","file_name":"Kersting & Geierhos (2020), Kersting2020.pdf","access_level":"closed","file_size":421780,"creator":"jkers","file_id":"19576","content_type":"application/pdf","date_updated":"2020-09-18T09:27:00Z","success":1,"relation":"main_file"}],"has_accepted_license":"1","status":"public","date_created":"2020-01-15T08:35:07Z","date_updated":"2022-01-06T06:52:29Z","language":[{"iso":"eng"}],"place":"Setúbal, Portugal","title":"Aspect Phrase Extraction in Sentiment Analysis with Deep Learning","department":[{"_id":"579"}],"project":[{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901","_id":"1"},{"_id":"9","name":"SFB 901 - Subproject B1"}]},{"title":"Conceptual Change in the Face of Digitalization","user_id":"86519","abstract":[{"lang":"eng","text":"The article discusses the explanatory power of conceptual change for research on workplace learning in digitalized workplaces. Interestingly, research on conceptual change is well-established within the area of science education but widely neglected within the broad area of workplace learning research. Digitalization of work establishes new quality of tasks and tools by integrating workers and machines into digital networks. Hence, conceptual change can be considered a core concept for identifying workers’ successful adaption to digital transformation. Therefore, conceptual change research in the area of workplace learning in digitalized workplaces is highly relevant. The article reflects upon reasons, explores the potential of conceptual change for understanding workplace learning in digitalized workplaces, and illustrates the argumentation by exemplarily referring to digitalized farming. Finally, the article provides suggestions for future research."}],"alternative_title":["Challenges for Workplaces and Workplace Learning"],"publication_status":"published","volume":5,"status":"public","date_created":"2023-01-06T06:34:29Z","author":[{"full_name":"Harteis, Christian","orcid":"https://orcid.org/0000-0002-3570-7626","first_name":"Christian","id":"27503","last_name":"Harteis"},{"orcid":"0000-0002-2820-9178","full_name":"Goller, Michael","first_name":"Michael","id":"30984","last_name":"Goller"},{"first_name":"Carina","full_name":"Caruso, Carina","last_name":"Caruso","id":"23123"}],"keyword":["conceptual change","digitalization","workplace learning","professional development","agriculture"],"publication":"Frontiers in Education","doi":"10.3389/feduc.2020.00001","issue":"1","intvolume":" 5","_id":"35313","date_updated":"2023-01-06T12:11:25Z","year":"2020","type":"journal_article","citation":{"chicago":"Harteis, Christian, Michael Goller, and Carina Caruso. “Conceptual Change in the Face of Digitalization.” Frontiers in Education 5, no. 1 (2020). https://doi.org/10.3389/feduc.2020.00001.","apa":"Harteis, C., Goller, M., & Caruso, C. (2020). Conceptual Change in the Face of Digitalization. Frontiers in Education, 5(1). https://doi.org/10.3389/feduc.2020.00001","ama":"Harteis C, Goller M, Caruso C. Conceptual Change in the Face of Digitalization. Frontiers in Education. 2020;5(1). doi:10.3389/feduc.2020.00001","bibtex":"@article{Harteis_Goller_Caruso_2020, title={Conceptual Change in the Face of Digitalization}, volume={5}, DOI={10.3389/feduc.2020.00001}, number={1}, journal={Frontiers in Education}, author={Harteis, Christian and Goller, Michael and Caruso, Carina}, year={2020} }","mla":"Harteis, Christian, et al. “Conceptual Change in the Face of Digitalization.” Frontiers in Education, vol. 5, no. 1, 2020, doi:10.3389/feduc.2020.00001.","short":"C. Harteis, M. Goller, C. Caruso, Frontiers in Education 5 (2020).","ieee":"C. Harteis, M. Goller, and C. Caruso, “Conceptual Change in the Face of Digitalization,” Frontiers in Education, vol. 5, no. 1, 2020, doi: 10.3389/feduc.2020.00001."},"language":[{"iso":"eng"}]},{"date_updated":"2023-01-06T12:18:16Z","doi":"10.4119/hlz-2540","language":[{"iso":"other"}],"title":"Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen","publication_status":"published","publication_identifier":{"issn":["2625-0675"]},"intvolume":" 3","_id":"35298","issue":"1","page":"18-33","citation":{"chicago":"Caruso, Carina, Christine Adammek, Sabrina Bonanati, and Sybille Wiescholek. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3, no. 1 (2020): 18–33. https://doi.org/10.4119/hlz-2540.","ama":"Caruso C, Adammek C, Bonanati S, Wiescholek S. Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion. 2020;3(1):18-33. doi:10.4119/hlz-2540","apa":"Caruso, C., Adammek, C., Bonanati, S., & Wiescholek, S. (2020). Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, 3(1), 18–33. https://doi.org/10.4119/hlz-2540","bibtex":"@article{Caruso_Adammek_Bonanati_Wiescholek_2020, title={Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen}, volume={3}, DOI={10.4119/hlz-2540}, number={1}, journal={Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion}, author={Caruso, Carina and Adammek, Christine and Bonanati, Sabrina and Wiescholek, Sybille}, year={2020}, pages={18–33} }","mla":"Caruso, Carina, et al. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, 2020, pp. 18–33, doi:10.4119/hlz-2540.","short":"C. Caruso, C. Adammek, S. Bonanati, S. Wiescholek, Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3 (2020) 18–33.","ieee":"C. Caruso, C. Adammek, S. Bonanati, and S. Wiescholek, “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen,” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, pp. 18–33, 2020, doi: 10.4119/hlz-2540."},"year":"2020","type":"journal_article","abstract":[{"text":"Im Artikel werden drei verschiedene Lernzugänge (kom-petenzorientiertes, ästhetisches und biographisches Lernen) vorgestellt und aus theoretischer Perspektive deren motivierender Gehalt für selbstreguliertes Lernen in Praxisphasen des Lehramtsstudiumsherausgearbeitet. Als theoretische Grund-lage dient die Selbstbestimmungstheorie als zentrale motivationale Theorie zur Erklärung selbstbestimmten Handelns.","lang":"ger"},{"text":"The article addresses how motivational learning approaches (competency-oriented, aesthetic and biographical) can contribute to the professionalization of preservice teachers during a long-term internship. As a theoretical basis, the self-determination theory serves as a central motivational theory for explaining self-determined action.","lang":"eng"}],"user_id":"86519","publication":"Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion","keyword":["ästhetische Forschung","Biographiearbeit","Praxissemester","Professionalisierung","selbstreguliertes Lernen","Motivation / aesthetic research","biographical work","long-term internship","profes-sionalization","self-regulated learning","motivation"],"author":[{"last_name":"Caruso","id":"23123","first_name":"Carina","full_name":"Caruso, Carina"},{"full_name":"Adammek, Christine","first_name":"Christine","last_name":"Adammek"},{"last_name":"Bonanati","first_name":"Sabrina","full_name":"Bonanati, Sabrina"},{"last_name":"Wiescholek","first_name":"Sybille","full_name":"Wiescholek, Sybille"}],"volume":3,"alternative_title":["Ein Blick auf kompetenzorientiertes, ästhetisches und biographisches Lernen im Lehramtsstudium"],"date_created":"2023-01-05T13:58:28Z","status":"public"},{"language":[{"iso":"ger"}],"oa":"1","date_updated":"2023-10-13T10:17:31Z","publication_status":"published","publication_identifier":{"eissn":["ISSN 2199-8825"]},"department":[{"_id":"1"},{"_id":"384"}],"title":"Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen","type":"journal_article","year":"2020","citation":{"bibtex":"@article{Hahn_2020, title={Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen}, number={6}, journal={die hochschullehre}, author={Hahn, Charlotte Anna}, year={2020} }","mla":"Hahn, Charlotte Anna. “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen.” die hochschullehre, no. 6, 2020.","chicago":"Hahn, Charlotte Anna. “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen.” die hochschullehre, no. 6 (2020).","ama":"Hahn CA. Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre. 2020;(6).","apa":"Hahn, C. A. (2020). Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre, 6.","ieee":"C. A. Hahn, “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen,” die hochschullehre, no. 6, 2020.","short":"C.A. Hahn, die hochschullehre (2020)."},"main_file_link":[{"url":"http://www.hochschullehre.org/wp-content/files/diehochschullehre_2020_Hahn_Informationskompetenz.pdf","open_access":"1"}],"issue":"6","_id":"33299","has_accepted_license":"1","status":"public","date_created":"2022-09-08T09:05:30Z","author":[{"id":"25934","last_name":"Hahn","full_name":"Hahn, Charlotte Anna","first_name":"Charlotte Anna"}],"keyword":["E-Learning","information competence","literature","library","research"],"publication":"die hochschullehre","file_date_updated":"2022-09-08T09:05:22Z","file":[{"relation":"main_file","date_updated":"2022-09-08T09:05:22Z","content_type":"application/pdf","creator":"chogg","file_id":"33300","file_size":318104,"access_level":"open_access","file_name":"HSL2012W.pdf","date_created":"2022-09-08T09:05:22Z"}],"ddc":["020"],"user_id":"14931","abstract":[{"lang":"eng","text":"The aim of this study was to find out whether teaching how to search for literature\r\nwould be more beneficial to students and teachers if done online through short videos\r\nrather than in person during course time. To find out whether online videos are more\r\nbeneficial, two courses were asked to fill in questionnaires, one at the beginning and\r\none at the end of the semester. One of the courses received the input online via videos\r\nand were given an exercise to put the newly learned skills to use, the other course\r\nserved as a control group and learned how to search for literature during the course.\r\nThe results show that while the difference between the two groups is not significant,\r\nthe videos can still be regarded as being more beneficial than teaching the necessary\r\nskills during course time."}]},{"status":"public","date_created":"2023-11-14T15:59:00Z","author":[{"full_name":"Seiler, Moritz","first_name":"Moritz","last_name":"Seiler"},{"last_name":"Pohl","full_name":"Pohl, Janina","first_name":"Janina"},{"last_name":"Bossek","id":"102979","first_name":"Jakob","full_name":"Bossek, Jakob","orcid":"0000-0002-4121-4668"},{"first_name":"Pascal","full_name":"Kerschke, Pascal","last_name":"Kerschke"},{"last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"}],"publisher":"Springer-Verlag","keyword":["Automated algorithm selection","Deep learning","Feature-based approaches","Traveling Salesperson Problem"],"publication":"Parallel Problem Solving from {Nature} (PPSN XVI)","user_id":"102979","abstract":[{"lang":"eng","text":"In this work we focus on the well-known Euclidean Traveling Salesperson Problem (TSP) and two highly competitive inexact heuristic TSP solvers, EAX and LKH, in the context of per-instance algorithm selection (AS). We evolve instances with nodes where the solvers show strongly different performance profiles. These instances serve as a basis for an exploratory study on the identification of well-discriminating problem characteristics (features). Our results in a nutshell: we show that even though (1) promising features exist, (2) these are in line with previous results from the literature, and (3) models trained with these features are more accurate than models adopting sophisticated feature selection methods, the advantage is not close to the virtual best solver in terms of penalized average runtime and so is the performance gain over the single best solver. However, we show that a feature-free deep neural network based approach solely based on visual representation of the instances already matches classical AS model results and thus shows huge potential for future studies."}],"extern":"1","type":"conference","citation":{"short":"M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 48–64.","ieee":"M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,” in Parallel Problem Solving from {Nature} (PPSN XVI), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.","chicago":"Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. Berlin, Heidelberg: Springer-Verlag, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.","ama":"Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Parallel Problem Solving from {Nature} (PPSN XVI). Springer-Verlag; 2020:48–64. doi:10.1007/978-3-030-58112-1_4","apa":"Seiler, M., Pohl, J., Bossek, J., Kerschke, P., & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. https://doi.org/10.1007/978-3-030-58112-1_4","mla":"Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4.","bibtex":"@inproceedings{Seiler_Pohl_Bossek_Kerschke_Trautmann_2020, place={Berlin, Heidelberg}, title={Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem}, DOI={10.1007/978-3-030-58112-1_4}, booktitle={Parallel Problem Solving from {Nature} (PPSN XVI)}, publisher={Springer-Verlag}, author={Seiler, Moritz and Pohl, Janina and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2020}, pages={48–64} }"},"year":"2020","page":"48–64","_id":"48897","publication_identifier":{"isbn":["978-3-030-58111-4"]},"department":[{"_id":"819"}],"title":"Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem","place":"Berlin, Heidelberg","language":[{"iso":"eng"}],"doi":"10.1007/978-3-030-58112-1_4","date_updated":"2023-12-13T10:49:45Z"},{"page":"90-100","year":"2019","citation":{"short":"D. Szopinski, Journal of Business Models 7 (2019) 90–100.","ieee":"D. Szopinski, “Squaring the circle: Business model teaching in large classroom settings,” Journal of Business Models, vol. 7, no. 3, pp. 90–100, 2019.","apa":"Szopinski, D. (2019). Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models, 7(3), 90–100.","ama":"Szopinski D. Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models. 2019;7(3):90-100.","chicago":"Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models 7, no. 3 (2019): 90–100.","bibtex":"@article{Szopinski_2019, title={Squaring the circle: Business model teaching in large classroom settings}, volume={7}, number={3}, journal={Journal of Business Models}, author={Szopinski, Daniel}, year={2019}, pages={90–100} }","mla":"Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models, vol. 7, no. 3, 2019, pp. 90–100."},"type":"journal_article","issue":"3","_id":"9853","intvolume":" 7","volume":7,"date_created":"2019-05-20T10:17:54Z","status":"public","keyword":["Business model teaching","peer assessment","experiential learning"],"publication":"Journal of Business Models","file_date_updated":"2019-10-17T06:51:18Z","author":[{"full_name":"Szopinski, Daniel","first_name":"Daniel","id":"36372","last_name":"Szopinski"}],"file":[{"file_name":"JoBM_SE_Teaching_2018_Squaring the circle_RevisedManuscript.pdf","date_created":"2019-10-17T06:51:18Z","access_level":"closed","file_id":"13898","creator":"dsz","file_size":1068694,"success":1,"relation":"main_file","date_updated":"2019-10-17T06:51:18Z","content_type":"application/pdf"}],"accept":"1","ddc":["000"],"user_id":"16205","abstract":[{"text":"Business model innovation is typically taught in small seminars at universities. Teaching this intrinsically task-oriented subject to a large number of students is a challenge. In this paper we address this challenge by proposing an experiential and interactive approach to teaching business models in a large classroom setting.","lang":"eng"}],"language":[{"iso":"eng"}],"date_updated":"2019-10-28T10:29:25Z","publication_status":"epub_ahead","project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"17","name":"SFB 901 - Subproject C5"}],"department":[{"_id":"276"}],"title":"Squaring the circle: Business model teaching in large classroom settings"},{"user_id":"26809","abstract":[{"text":"In this paper, we first outline a Hypothetical Learning Trajectory (HLT), which aims at a formal understanding of the rules for manipulating integers. The HLT is based on task formats, which promote algebraic thinking in terms of generalizing rules from the analysis of patterns and should be familiar to students from their mathematics education experiences in elementary school. Second, we analyze two students' actual learning process based on Peircean semiotics. The analysis shows that the actual learning process diverges from the hypothesized learning process in that the students do not relate the different levels of the diagrams in a way that allows them to extrapolate the rule for the subtraction of negative numbers. Based on this finding, we point out consequences for the design of the tasks.","lang":"eng"}],"status":"public","date_created":"2019-08-30T12:00:50Z","quality_controlled":"1","publisher":"Freudenthal Group & Freudenthal Institute, Utrecht University and ERME","author":[{"id":"26809","last_name":"Schumacher","full_name":"Schumacher, Jan","orcid":"0000-0002-6676-9774","first_name":"Jan"},{"last_name":"Rezat","full_name":"Rezat, Sebastian","first_name":"Sebastian"}],"keyword":["diagrammatic reasoning","hypothetical learning trajectory","induction extrapolatory method","integers","negative numbers","permanence principle","semiotics"],"publication":"Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019)","_id":"13107","conference":{"end_date":"2019-02-10","location":"Utrecht","name":"CERME 11","start_date":"2019-02-06"},"citation":{"chicago":"Schumacher, Jan, and Sebastian Rezat. “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers.” In Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), edited by Uffe Thomas Jankvist, Marja Van den Heuvel-Panhuizen, and Michiel Veldhuis. Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME, n.d.","ama":"Schumacher J, Rezat S. A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In: Jankvist UT, Van den Heuvel-Panhuizen M, Veldhuis M, eds. Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.","apa":"Schumacher, J., & Rezat, S. (n.d.). A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In U. T. Jankvist, M. Van den Heuvel-Panhuizen, & M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.","bibtex":"@inproceedings{Schumacher_Rezat, place={Utrecht, the Netherlands}, title={A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers}, booktitle={Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019)}, publisher={Freudenthal Group & Freudenthal Institute, Utrecht University and ERME}, author={Schumacher, Jan and Rezat, Sebastian}, editor={Jankvist, Uffe Thomas and Van den Heuvel-Panhuizen, Marja and Veldhuis, MichielEditors} }","mla":"Schumacher, Jan, and Sebastian Rezat. “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers.” Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), edited by Uffe Thomas Jankvist et al., Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.","short":"J. Schumacher, S. Rezat, in: U.T. Jankvist, M. Van den Heuvel-Panhuizen, M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), Freudenthal Group & Freudenthal Institute, Utrecht University and ERME, Utrecht, the Netherlands, n.d.","ieee":"J. Schumacher and S. Rezat, “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers,” in Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), Utrecht."},"type":"conference","year":"2019","title":"A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers","place":"Utrecht, the Netherlands","editor":[{"last_name":"Jankvist","full_name":"Jankvist, Uffe Thomas","first_name":"Uffe Thomas"},{"last_name":"Van den Heuvel-Panhuizen","full_name":"Van den Heuvel-Panhuizen, Marja","first_name":"Marja"},{"first_name":"Michiel","full_name":"Veldhuis, Michiel","last_name":"Veldhuis"}],"publication_status":"accepted","department":[{"_id":"360"},{"_id":"98"}],"date_updated":"2022-01-06T06:51:28Z","language":[{"iso":"eng"}]},{"_id":"13443","conference":{"location":"Chicago, USA","name":"8th IFAC Workshop on Distributed Estimation and Control in Networked Systems - NECSYS 2019","start_date":"2019-09-16","end_date":"2019-09-17"},"citation":{"chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Daniel Quevedo. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.","ama":"Redder A, Ramaswamy A, Quevedo D. Deep reinforcement learning for scheduling in large-scale networked control systems. In: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. ; 2019.","apa":"Redder, A., Ramaswamy, A., & Quevedo, D. (2019). Deep reinforcement learning for scheduling in large-scale networked control systems. In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. Chicago, USA.","bibtex":"@inproceedings{Redder_Ramaswamy_Quevedo_2019, title={Deep reinforcement learning for scheduling in large-scale networked control systems}, booktitle={Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems}, author={Redder, Adrian and Ramaswamy, Arunselvan and Quevedo, Daniel}, year={2019} }","mla":"Redder, Adrian, et al. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.","short":"A. Redder, A. Ramaswamy, D. Quevedo, in: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.","ieee":"A. Redder, A. Ramaswamy, and D. Quevedo, “Deep reinforcement learning for scheduling in large-scale networked control systems,” in Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Chicago, USA, 2019."},"type":"conference","year":"2019","main_file_link":[{"url":"https://arxiv.org/abs/1905.05992","open_access":"1"}],"ddc":["620"],"user_id":"52265","abstract":[{"lang":"eng","text":"This work considers the problem of control and resource allocation in networked\r\nsystems. To this end, we present DIRA a Deep reinforcement learning based Iterative Resource\r\nAllocation algorithm, which is scalable and control-aware. Our algorithm is tailored towards\r\nlarge-scale problems where control and scheduling need to act jointly to optimize performance.\r\nDIRA can be used to schedule general time-domain optimization based controllers. In the present\r\nwork, we focus on control designs based on suitably adapted linear quadratic regulators. We\r\napply our algorithm to networked systems with correlated fading communication channels. Our\r\nsimulations show that DIRA scales well to large scheduling problems."}],"has_accepted_license":"1","status":"public","date_created":"2019-09-23T16:00:58Z","author":[{"first_name":"Adrian","full_name":"Redder, Adrian","orcid":"https://orcid.org/0000-0001-7391-4688","last_name":"Redder","id":"52265"},{"first_name":"Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","full_name":"Ramaswamy, Arunselvan","last_name":"Ramaswamy","id":"66937"},{"last_name":"Quevedo","full_name":"Quevedo, Daniel","first_name":"Daniel"}],"file_date_updated":"2019-09-23T16:21:16Z","publication":"Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems","keyword":["Networked control systems","deep reinforcement learning","large-scale systems","resource scheduling","stochastic control"],"file":[{"creator":"aredder","file_id":"13444","file_size":371429,"relation":"main_file","content_type":"application/pdf","date_updated":"2019-09-23T16:21:16Z","file_name":"ifacconf.pdf","date_created":"2019-09-23T15:48:33Z","access_level":"local"}],"oa":"1","date_updated":"2022-01-06T06:51:36Z","language":[{"iso":"eng"}],"title":"Deep reinforcement learning for scheduling in large-scale networked control systems","publication_status":"published","project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}]},{"title":"Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material","department":[{"_id":"67"}],"publication_status":"published","publication_identifier":{"isbn":["978-9925-553-27-3"]},"editor":[{"full_name":"Jasutė, Eglė","first_name":"Eglė","last_name":"Jasutė"},{"full_name":"Pozdniakov, Sergei","first_name":"Sergei","last_name":"Pozdniakov"}],"date_updated":"2022-07-26T11:41:41Z","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Artificial intelligence (AI) has the potential for far-reaching – in our opinion – irreversible changes.\r\nThey range from effects on the individual and society to new societal and social issues. The question arises\r\nas to how students can learn the basic functioning of AI systems, what areas of life and society are affected\r\nby these and – most important – how their own lives are affected by these changes. Therefore, we are developing and evaluating school materials for the German ”Science Year AI”. It can be used for students of all\r\nschool types from the seventh grade upwards and will be distributed to about 2000 schools in autumn with\r\nthe support of the Federal Ministry of Education and Research. The material deals with the following aspects\r\nof AI: Discussing everyday experiences with AI, how does machine learning work, historical development\r\nof AI concepts, difference between man and machine, future distribution of roles between man and machine,\r\nin which AI world do we want to live and how much AI would we like to have in our lives. Through an\r\naccompanying evaluation, high quality of the technical content and didactic preparation is achieved in order\r\nto guarantee the long-term applicability in the teaching context in the different age groups and school types.\r\nIn this paper, we describe the current state of the material development, the challenges arising, and the results\r\nof tests with different classes to date. We also present first ideas for evaluating the results."}],"user_id":"32312","keyword":["Artificial Intelligence","Machine Learning","Teaching Material","Societal Aspects","Ethics. Social Aspects","Science Year","Simulation Game"],"publication":"ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings","author":[{"id":"32312","last_name":"Schlichtig","orcid":"0000-0001-6600-6171","full_name":"Schlichtig, Michael","first_name":"Michael"},{"first_name":"Simone Anna","full_name":"Opel, Simone Anna","last_name":"Opel","id":"72932"},{"first_name":"Lea","full_name":"Budde, Lea","last_name":"Budde","id":"32443"},{"first_name":"Carsten","full_name":"Schulte, Carsten","last_name":"Schulte","id":"60311"}],"quality_controlled":"1","volume":12,"date_created":"2019-12-16T17:50:08Z","status":"public","conference":{"end_date":"2019-11-20","location":"Lanarca","start_date":"2019-11-18","name":"ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives"},"intvolume":" 12","_id":"15332","main_file_link":[{"url":"http://cyprusconferences.org/issep2019/wp-content/uploads/2019/10/LocalISSEP-v5.pdf"}],"page":"65 - 73","citation":{"mla":"Schlichtig, Michael, et al. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, edited by Eglė Jasutė and Sergei Pozdniakov, vol. 12, 2019, pp. 65–73.","bibtex":"@inproceedings{Schlichtig_Opel_Budde_Schulte_2019, title={Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material}, volume={12}, booktitle={ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings}, author={Schlichtig, Michael and Opel, Simone Anna and Budde, Lea and Schulte, Carsten}, editor={Jasutė, Eglė and Pozdniakov, Sergei}, year={2019}, pages={65–73} }","chicago":"Schlichtig, Michael, Simone Anna Opel, Lea Budde, and Carsten Schulte. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” In ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, edited by Eglė Jasutė and Sergei Pozdniakov, 12:65–73, 2019.","apa":"Schlichtig, M., Opel, S. A., Budde, L., & Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė & S. Pozdniakov (Eds.), ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings (Vol. 12, pp. 65–73).","ama":"Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In: Jasutė E, Pozdniakov S, eds. ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings. Vol 12. ; 2019:65-73.","ieee":"M. Schlichtig, S. A. Opel, L. Budde, and C. Schulte, “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material,” in ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings, Lanarca, 2019, vol. 12, pp. 65–73.","short":"M. Schlichtig, S.A. Opel, L. Budde, C. Schulte, in: E. Jasutė, S. Pozdniakov (Eds.), ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, 2019, pp. 65–73."},"type":"conference","year":"2019"},{"_id":"48877","intvolume":" 34","issue":"3","citation":{"mla":"Casalicchio, Giuseppe, et al. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.” Computational Statistics, vol. 34, no. 3, 2019, pp. 977–991, doi:10.1007/s00180-017-0742-2.","bibtex":"@article{Casalicchio_Bossek_Lang_Kirchhoff_Kerschke_Hofner_Seibold_Vanschoren_Bischl_2019, title={OpenML: An R Package to Connect to the Machine Learning Platform OpenML}, volume={34}, DOI={10.1007/s00180-017-0742-2}, number={3}, journal={Computational Statistics}, author={Casalicchio, Giuseppe and Bossek, Jakob and Lang, Michel and Kirchhoff, Dominik and Kerschke, Pascal and Hofner, Benjamin and Seibold, Heidi and Vanschoren, Joaquin and Bischl, Bernd}, year={2019}, pages={977–991} }","ama":"Casalicchio G, Bossek J, Lang M, et al. OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics. 2019;34(3):977–991. doi:10.1007/s00180-017-0742-2","apa":"Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2019). OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics, 34(3), 977–991. https://doi.org/10.1007/s00180-017-0742-2","chicago":"Casalicchio, Giuseppe, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, and Bernd Bischl. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.” Computational Statistics 34, no. 3 (2019): 977–991. https://doi.org/10.1007/s00180-017-0742-2.","ieee":"G. Casalicchio et al., “OpenML: An R Package to Connect to the Machine Learning Platform OpenML,” Computational Statistics, vol. 34, no. 3, pp. 977–991, 2019, doi: 10.1007/s00180-017-0742-2.","short":"G. Casalicchio, J. Bossek, M. Lang, D. Kirchhoff, P. Kerschke, B. Hofner, H. Seibold, J. Vanschoren, B. Bischl, Computational Statistics 34 (2019) 977–991."},"year":"2019","type":"journal_article","page":"977–991","abstract":[{"text":"OpenML is an online machine learning platform where researchers can easily share data, machine learning tasks and experiments as well as organize them online to work and collaborate more efficiently. In this paper, we present an R package to interface with the OpenML platform and illustrate its usage in combination with the machine learning R package mlr (Bischl et al. J Mach Learn Res 17(170):1—5, 2016). We show how the OpenML package allows R users to easily search, download and upload data sets and machine learning tasks. Furthermore, we also show how to upload results of experiments, share them with others and download results from other users. Beyond ensuring reproducibility of results, the OpenML platform automates much of the drudge work, speeds up research, facilitates collaboration and increases the users’ visibility online.","lang":"eng"}],"user_id":"102979","author":[{"first_name":"Giuseppe","full_name":"Casalicchio, Giuseppe","last_name":"Casalicchio"},{"last_name":"Bossek","id":"102979","first_name":"Jakob","full_name":"Bossek, Jakob","orcid":"0000-0002-4121-4668"},{"last_name":"Lang","first_name":"Michel","full_name":"Lang, Michel"},{"first_name":"Dominik","full_name":"Kirchhoff, Dominik","last_name":"Kirchhoff"},{"last_name":"Kerschke","first_name":"Pascal","full_name":"Kerschke, Pascal"},{"last_name":"Hofner","first_name":"Benjamin","full_name":"Hofner, Benjamin"},{"full_name":"Seibold, Heidi","first_name":"Heidi","last_name":"Seibold"},{"last_name":"Vanschoren","first_name":"Joaquin","full_name":"Vanschoren, Joaquin"},{"full_name":"Bischl, Bernd","first_name":"Bernd","last_name":"Bischl"}],"keyword":["Databases","Machine learning","R","Reproducible research"],"publication":"Computational Statistics","status":"public","date_created":"2023-11-14T15:58:57Z","volume":34,"date_updated":"2023-12-13T10:51:17Z","doi":"10.1007/s00180-017-0742-2","language":[{"iso":"eng"}],"title":"OpenML: An R Package to Connect to the Machine Learning Platform OpenML","department":[{"_id":"819"}],"publication_identifier":{"issn":["0943-4062"]}},{"place":"Berlin, Heidelberg","title":"Wissensmanagement unter Bedingungen von Arbeit 4.0","user_id":"27503","author":[{"last_name":"Harteis","id":"27503","first_name":"Christian","full_name":"Harteis, Christian","orcid":"https://orcid.org/0000-0002-3570-7626"},{"id":"31722","last_name":"Fischer","full_name":"Fischer, Christoph","first_name":"Christoph"}],"publisher":"Springer","keyword":["i40","learning culture"],"publication":"Handbuch Gestaltung digitaler und vernetzter Arbeitswelten","editor":[{"last_name":"Maier","first_name":"Günter W.","full_name":"Maier, Günter W."},{"last_name":"Engels","full_name":"Engels, Gregor","first_name":"Gregor"},{"full_name":"Steffen, Eckhard","first_name":"Eckhard","last_name":"Steffen"}],"publication_identifier":{"isbn":["978-3-662-52903-4"]},"status":"public","date_created":"2018-07-23T08:37:13Z","date_updated":"2022-01-06T06:59:26Z","_id":"3593","citation":{"ieee":"C. Harteis and C. Fischer, “Wissensmanagement unter Bedingungen von Arbeit 4.0,” in Handbuch Gestaltung digitaler und vernetzter Arbeitswelten, G. W. Maier, G. Engels, and E. Steffen, Eds. Berlin, Heidelberg: Springer, 2018, pp. 1--18.","short":"C. Harteis, C. Fischer, in: G.W. Maier, G. Engels, E. Steffen (Eds.), Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten, Springer, Berlin, Heidelberg, 2018, pp. 1--18.","mla":"Harteis, Christian, and Christoph Fischer. “Wissensmanagement Unter Bedingungen von Arbeit 4.0.” Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten, edited by Günter W. Maier et al., Springer, 2018, pp. 1--18.","bibtex":"@inbook{Harteis_Fischer_2018, place={Berlin, Heidelberg}, title={Wissensmanagement unter Bedingungen von Arbeit 4.0}, booktitle={Handbuch Gestaltung digitaler und vernetzter Arbeitswelten}, publisher={Springer}, author={Harteis, Christian and Fischer, Christoph}, editor={Maier, Günter W. and Engels, Gregor and Steffen, EckhardEditors}, year={2018}, pages={1--18} }","chicago":"Harteis, Christian, and Christoph Fischer. “Wissensmanagement Unter Bedingungen von Arbeit 4.0.” In Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten, edited by Günter W. Maier, Gregor Engels, and Eckhard Steffen, 1--18. Berlin, Heidelberg: Springer, 2018.","ama":"Harteis C, Fischer C. Wissensmanagement unter Bedingungen von Arbeit 4.0. In: Maier GW, Engels G, Steffen E, eds. Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten. Berlin, Heidelberg: Springer; 2018:1--18.","apa":"Harteis, C., & Fischer, C. (2018). Wissensmanagement unter Bedingungen von Arbeit 4.0. In G. W. Maier, G. Engels, & E. Steffen (Eds.), Handbuch Gestaltung digitaler und vernetzter Arbeitswelten (pp. 1--18). Berlin, Heidelberg: Springer."},"year":"2018","type":"book_chapter","page":"1--18"},{"_id":"3594","date_updated":"2022-01-06T06:59:26Z","type":"book_chapter","citation":{"chicago":"Fischer, Christoph, Michael Goller, Lorraine Brinkmann, and Christian Harteis. “Digitalisation of Work: Between Affordances and Constraints for Learning at Work.” In Digital Workplace Learning, edited by Dirk Ifenthaler, 227--249. Cham: Springer, 2018.","apa":"Fischer, C., Goller, M., Brinkmann, L., & Harteis, C. (2018). Digitalisation of Work: Between Affordances and Constraints for Learning at Work. In D. Ifenthaler (Ed.), Digital Workplace Learning (pp. 227--249). Cham: Springer.","ama":"Fischer C, Goller M, Brinkmann L, Harteis C. Digitalisation of Work: Between Affordances and Constraints for Learning at Work. In: Ifenthaler D, ed. Digital Workplace Learning. Cham: Springer; 2018:227--249.","bibtex":"@inbook{Fischer_Goller_Brinkmann_Harteis_2018, place={Cham}, title={Digitalisation of Work: Between Affordances and Constraints for Learning at Work}, booktitle={Digital Workplace Learning}, publisher={Springer}, author={Fischer, Christoph and Goller, Michael and Brinkmann, Lorraine and Harteis, Christian}, editor={Ifenthaler, DirkEditor}, year={2018}, pages={227--249} }","mla":"Fischer, Christoph, et al. “Digitalisation of Work: Between Affordances and Constraints for Learning at Work.” Digital Workplace Learning, edited by Dirk Ifenthaler, Springer, 2018, pp. 227--249.","short":"C. Fischer, M. Goller, L. Brinkmann, C. Harteis, in: D. Ifenthaler (Ed.), Digital Workplace Learning, Springer, Cham, 2018, pp. 227--249.","ieee":"C. Fischer, M. Goller, L. Brinkmann, and C. Harteis, “Digitalisation of Work: Between Affordances and Constraints for Learning at Work,” in Digital Workplace Learning, D. Ifenthaler, Ed. Cham: Springer, 2018, pp. 227--249."},"year":"2018","page":"227--249","user_id":"27503","title":"Digitalisation of Work: Between Affordances and Constraints for Learning at Work","place":"Cham","status":"public","date_created":"2018-07-23T08:44:13Z","editor":[{"full_name":"Ifenthaler, Dirk","first_name":"Dirk","last_name":"Ifenthaler"}],"publication_identifier":{"isbn":["978-3-319-46214-1 978-3-319-46215-8"]},"author":[{"full_name":"Fischer, Christoph","first_name":"Christoph","id":"31722","last_name":"Fischer"},{"full_name":"Goller, Michael","orcid":"0000-0002-2820-9178","first_name":"Michael","id":"30984","last_name":"Goller"},{"last_name":"Brinkmann","first_name":"Lorraine","full_name":"Brinkmann, Lorraine"},{"last_name":"Harteis","id":"27503","first_name":"Christian","full_name":"Harteis, Christian","orcid":"https://orcid.org/0000-0002-3570-7626"}],"publisher":"Springer","keyword":["i40","learning culture"],"publication":"Digital Workplace Learning"},{"abstract":[{"lang":"eng","text":"In automated machine learning (AutoML), the process of engineering machine learning applications with respect to a specific problem is (partially) automated.\r\nVarious AutoML tools have already been introduced to provide out-of-the-box machine learning functionality.\r\nMore specifically, by selecting machine learning algorithms and optimizing their hyperparameters, these tools produce a machine learning pipeline tailored to the problem at hand.\r\nExcept for TPOT, all of these tools restrict the maximum number of processing steps of such a pipeline.\r\nHowever, as TPOT follows an evolutionary approach, it suffers from performance issues when dealing with larger datasets.\r\nIn this paper, we present an alternative approach leveraging a hierarchical planning to configure machine learning pipelines that are unlimited in length.\r\nWe evaluate our approach and find its performance to be competitive with other AutoML tools, including TPOT."}],"user_id":"49109","ddc":["006"],"file":[{"access_level":"open_access","date_created":"2018-08-09T06:14:43Z","file_name":"38.pdf","relation":"main_file","content_type":"application/pdf","date_updated":"2018-08-09T06:14:43Z","creator":"wever","file_id":"3853","file_size":297811}],"quality_controlled":"1","author":[{"last_name":"Wever","id":"33176","first_name":"Marcel Dominik","full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818"},{"full_name":"Mohr, Felix","first_name":"Felix","last_name":"Mohr"},{"id":"48129","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke","first_name":"Eyke"}],"publication":"ICML 2018 AutoML Workshop","file_date_updated":"2018-08-09T06:14:43Z","keyword":["automated machine learning","complex pipelines","hierarchical planning"],"has_accepted_license":"1","status":"public","date_created":"2018-08-09T06:14:54Z","_id":"3852","conference":{"end_date":"2018-07-15","location":"Stockholm, Sweden","start_date":"2018-07-10","name":"ICML 2018 AutoML Workshop"},"urn":"38527","main_file_link":[{"url":"https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxhdXRvbWwyMDE4aWNtbHxneDo3M2Q3MjUzYjViNDRhZTAx"}],"citation":{"apa":"Wever, M. D., Mohr, F., & Hüllermeier, E. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. In ICML 2018 AutoML Workshop. Stockholm, Sweden.","ama":"Wever MD, Mohr F, Hüllermeier E. ML-Plan for Unlimited-Length Machine Learning Pipelines. In: ICML 2018 AutoML Workshop. ; 2018.","chicago":"Wever, Marcel Dominik, Felix Mohr, and Eyke Hüllermeier. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” In ICML 2018 AutoML Workshop, 2018.","bibtex":"@inproceedings{Wever_Mohr_Hüllermeier_2018, title={ML-Plan for Unlimited-Length Machine Learning Pipelines}, booktitle={ICML 2018 AutoML Workshop}, author={Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2018} }","mla":"Wever, Marcel Dominik, et al. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” ICML 2018 AutoML Workshop, 2018.","short":"M.D. Wever, F. Mohr, E. Hüllermeier, in: ICML 2018 AutoML Workshop, 2018.","ieee":"M. D. Wever, F. Mohr, and E. Hüllermeier, “ML-Plan for Unlimited-Length Machine Learning Pipelines,” in ICML 2018 AutoML Workshop, Stockholm, Sweden, 2018."},"type":"conference","year":"2018","title":"ML-Plan for Unlimited-Length Machine Learning Pipelines","department":[{"_id":"355"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"10","name":"SFB 901 - Subproject B2"}],"date_updated":"2022-01-06T06:59:46Z","oa":"1","language":[{"iso":"eng"}]},{"title":"Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure","department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"publication_identifier":{"eissn":["2207-6360"],"issn":["2005-4238"]},"publication_status":"published","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area B","_id":"3"},{"name":"SFB 901 - Subproject B1","_id":"9"}],"date_updated":"2022-01-06T06:55:49Z","doi":"10.14257/ijast.2018.112.12","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"A user generally writes software requirements in ambiguous and incomplete form by using natural language; therefore, a software developer may have difficulty in clearly understanding what the meanings are. To solve this problem with automation, we propose a classifier for semantic annotation with manually pre-defined semantic categories. To improve our classifier, we carefully designed syntactic features extracted by constituency and dependency parsers. Even with a small dataset and a large number of classes, our proposed classifier records an accuracy of 0.75, which outperforms the previous model, REaCT."}],"article_type":"original","ddc":["000"],"user_id":"477","keyword":["Software Engineering","Natural Language Processing","Semantic Annotation","Machine Learning","Feature Engineering","Syntactic Structure"],"file_date_updated":"2018-11-02T15:16:29Z","publication":"International Journal of Advanced Science and Technology","author":[{"full_name":"Kim, Yeongsu ","first_name":"Yeongsu ","last_name":"Kim"},{"last_name":"Lee","full_name":"Lee, Seungwoo","first_name":"Seungwoo"},{"id":"27578","last_name":"Dollmann","full_name":"Dollmann, Markus","first_name":"Markus"},{"first_name":"Michaela","orcid":"0000-0002-8180-5606","full_name":"Geierhos, Michaela","last_name":"Geierhos","id":"42496"}],"quality_controlled":"1","publisher":"SERSC Australia","file":[{"file_name":"12.pdf","date_created":"2018-11-02T15:16:29Z","access_level":"closed","file_size":586968,"file_id":"5297","creator":"ups","date_updated":"2018-11-02T15:16:29Z","content_type":"application/pdf","success":1,"relation":"main_file"}],"volume":112,"date_created":"2018-04-13T09:19:22Z","status":"public","has_accepted_license":"1","_id":"2331","intvolume":" 112","page":"123-136","citation":{"ieee":"Y. Kim, S. Lee, M. Dollmann, and M. Geierhos, “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure,” International Journal of Advanced Science and Technology, vol. 112, pp. 123–136, 2018.","short":"Y. Kim, S. Lee, M. Dollmann, M. Geierhos, International Journal of Advanced Science and Technology 112 (2018) 123–136.","bibtex":"@article{Kim_Lee_Dollmann_Geierhos_2018, title={Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure}, volume={112}, DOI={10.14257/ijast.2018.112.12}, journal={International Journal of Advanced Science and Technology}, publisher={SERSC Australia}, author={Kim, Yeongsu and Lee, Seungwoo and Dollmann, Markus and Geierhos, Michaela}, year={2018}, pages={123–136} }","mla":"Kim, Yeongsu, et al. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.” International Journal of Advanced Science and Technology, vol. 112, SERSC Australia, 2018, pp. 123–36, doi:10.14257/ijast.2018.112.12.","chicago":"Kim, Yeongsu , Seungwoo Lee, Markus Dollmann, and Michaela Geierhos. “Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure.” International Journal of Advanced Science and Technology 112 (2018): 123–36. https://doi.org/10.14257/ijast.2018.112.12.","ama":"Kim Y, Lee S, Dollmann M, Geierhos M. Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology. 2018;112:123-136. doi:10.14257/ijast.2018.112.12","apa":"Kim, Y., Lee, S., Dollmann, M., & Geierhos, M. (2018). Improving Classifiers for Semantic Annotation of Software Requirements with Elaborate Syntactic Structure. International Journal of Advanced Science and Technology, 112, 123–136. https://doi.org/10.14257/ijast.2018.112.12"},"year":"2018","type":"journal_article"},{"_id":"5586","intvolume":" 77","page":"807 - 823","year":"2018","citation":{"ieee":"E. Weishäupl, E. Yasasin, and G. Schryen, “Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning,” Computers & Security, vol. 77, pp. 807–823, 2018.","short":"E. Weishäupl, E. Yasasin, G. Schryen, Computers & Security 77 (2018) 807–823.","mla":"Weishäupl, Eva, et al. “Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning.” Computers & Security, vol. 77, Elsevier, 2018, pp. 807–23.","bibtex":"@article{Weishäupl_Yasasin_Schryen_2018, title={Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning}, volume={77}, journal={Computers & Security}, publisher={Elsevier}, author={Weishäupl, Eva and Yasasin, Emrah and Schryen, Guido}, year={2018}, pages={807–823} }","chicago":"Weishäupl, Eva, Emrah Yasasin, and Guido Schryen. “Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning.” Computers & Security 77 (2018): 807–23.","apa":"Weishäupl, E., Yasasin, E., & Schryen, G. (2018). Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning. Computers & Security, 77, 807–823.","ama":"Weishäupl E, Yasasin E, Schryen G. Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning. Computers & Security. 2018;77:807-823."},"type":"journal_article","user_id":"61579","ddc":["000"],"abstract":[{"text":"The need to protect resources against attackers is reflected by huge information security investments of firms worldwide. In the presence of budget constraints and a diverse set of assets to protect, organizations have to decide in which IT security measures to invest, how to evaluate those investment decisions, and how to learn from past decisions to optimize future security investment actions. While the academic literature has provided valuable insights into these issues, there is a lack of empirical contributions. To address this lack, we conduct a theory-based exploratory multiple case study. Our case study reveals that (1) firms? investments in information security are largely driven by external environmental and industry-related factors, (2) firms do not implement standardized decision processes, (3) the security process is perceived to impact the business process in a disturbing way, (4) both the implementation of evaluation processes and the application of metrics are hardly existent and (5) learning activities mainly occur at an ad-hoc basis.","lang":"eng"}],"extern":"1","date_created":"2018-11-14T11:24:37Z","has_accepted_license":"1","status":"public","volume":77,"file":[{"file_size":809490,"file_id":"6022","creator":"hsiemes","content_type":"application/pdf","date_updated":"2018-12-13T15:06:10Z","relation":"main_file","file_name":"JOURNAL VERSION.pdf","date_created":"2018-12-07T11:26:53Z","access_level":"open_access"}],"publication":"Computers & Security","file_date_updated":"2018-12-13T15:06:10Z","keyword":["Information Security Investments","Multiple Case Study","Organizations","Single Loop Learning","Double Loop Learning"],"publisher":"Elsevier","author":[{"first_name":"Eva","full_name":"Weishäupl, Eva","last_name":"Weishäupl"},{"last_name":"Yasasin","first_name":"Emrah","full_name":"Yasasin, Emrah"},{"id":"72850","last_name":"Schryen","full_name":"Schryen, Guido","first_name":"Guido"}],"oa":"1","date_updated":"2022-01-06T07:02:03Z","language":[{"iso":"eng"}],"title":"Information Security Investments: An Exploratory Multiple Case Study on Decision-Making, Evaluation and Learning","department":[{"_id":"277"}]},{"keyword":["BiLieF","Special educational needs","Learning disability","Academic selfconcept of ability","Reciprocal effects model","Inclusive education"],"publication":"Learning and Individual Differences","author":[{"last_name":"Gorges","first_name":"Julia","full_name":"Gorges, Julia"},{"id":"95559","last_name":"Neumann","full_name":"Neumann, Phillip","first_name":"Phillip"},{"full_name":"Wild, Elke","first_name":"Elke","last_name":"Wild"},{"last_name":"Stranghöner","full_name":"Stranghöner, Daniela","first_name":"Daniela"},{"first_name":"Birgit","full_name":"Lütje-Klose, Birgit","last_name":"Lütje-Klose"}],"publisher":"Elsevier BV","date_created":"2022-12-17T13:20:47Z","status":"public","volume":61,"abstract":[{"text":"Ample empirical research from regular school settings documents reciprocal effects between academic performance and academic self-concept of ability (ASC), supporting what is known as a reciprocal effects model (REM). The present article investigates a REM in the domain of reading performance in a sample of elementary students with special educational needs in learning (SEN-L) who received special educational support in exclusive versus inclusive settings (N = 446). In exclusive settings, SEN-L students attend special schools and are completely separated from regular students. By contrast, SEN-L students in inclusive settings attend regular schools and are educated in classes with regular students. In both settings, SEN-L students are not graded and taught based on individual learning goals, which may affect reciprocal effects between ASC and reading performance. In addition, given that special education for SEN-L students relies heavily on individual reference standards to evaluate performance, we tested individual performance growth of SEN-L students as a predictor of ASC. Analyses of a longitudinal dataset across 3rd and 4th grade revealed some cross-lagged effects and an effect of performance growth on ASC in exclusive settings in particular. The discussion focuses on the role of individualized instruction, grades, peer groups, and individual versus social reference standards for reciprocal effects between ASC and performance as well as practical implications.\r\n","lang":"eng"}],"extern":"1","user_id":"95559","main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S1041608017302030","open_access":"1"}],"page":"11-20","type":"journal_article","citation":{"ieee":"J. Gorges, P. Neumann, E. Wild, D. Stranghöner, and B. Lütje-Klose, “Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education,” Learning and Individual Differences, vol. 61, pp. 11–20, 2018, doi: 10.1016/j.lindif.2017.11.005.","short":"J. Gorges, P. Neumann, E. Wild, D. Stranghöner, B. Lütje-Klose, Learning and Individual Differences 61 (2018) 11–20.","bibtex":"@article{Gorges_Neumann_Wild_Stranghöner_Lütje-Klose_2018, title={Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education}, volume={61}, DOI={10.1016/j.lindif.2017.11.005}, journal={Learning and Individual Differences}, publisher={Elsevier BV}, author={Gorges, Julia and Neumann, Phillip and Wild, Elke and Stranghöner, Daniela and Lütje-Klose, Birgit}, year={2018}, pages={11–20} }","mla":"Gorges, Julia, et al. “Reciprocal Effects between Self-Concept of Ability and Performance: A Longitudinal Study of Children with Learning Disabilities in Inclusive versus Exclusive Elementary Education.” Learning and Individual Differences, vol. 61, Elsevier BV, 2018, pp. 11–20, doi:10.1016/j.lindif.2017.11.005.","chicago":"Gorges, Julia, Phillip Neumann, Elke Wild, Daniela Stranghöner, and Birgit Lütje-Klose. “Reciprocal Effects between Self-Concept of Ability and Performance: A Longitudinal Study of Children with Learning Disabilities in Inclusive versus Exclusive Elementary Education.” Learning and Individual Differences 61 (2018): 11–20. https://doi.org/10.1016/j.lindif.2017.11.005.","ama":"Gorges J, Neumann P, Wild E, Stranghöner D, Lütje-Klose B. Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education. Learning and Individual Differences. 2018;61:11-20. doi:10.1016/j.lindif.2017.11.005","apa":"Gorges, J., Neumann, P., Wild, E., Stranghöner, D., & Lütje-Klose, B. (2018). Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education. Learning and Individual Differences, 61, 11–20. https://doi.org/10.1016/j.lindif.2017.11.005"},"year":"2018","intvolume":" 61","_id":"34498","department":[{"_id":"479"}],"publication_identifier":{"issn":["1041-6080"]},"publication_status":"published","title":"Reciprocal effects between self-concept of ability and performance: A longitudinal study of children with learning disabilities in inclusive versus exclusive elementary education","language":[{"iso":"eng"}],"date_updated":"2023-01-10T19:42:56Z","oa":"1","doi":"10.1016/j.lindif.2017.11.005"},{"abstract":[{"text":"The Travelling Salesperson Problem (TSP) is one of the best-studied NP-hard problems. Over the years, many different solution approaches and solvers have been developed. For the first time, we directly compare five state-of-the-art inexact solvers\\textemdash namely, LKH, EAX, restart variants of those, and MAOS\\textemdash on a large set of well-known benchmark instances and demonstrate complementary performance, in that different instances may be solved most effectively by different algorithms. We leverage this complementarity to build an algorithm selector, which selects the best TSP solver on a per-instance basis and thus achieves significantly improved performance compared to the single best solver, representing an advance in the state of the art in solving the Euclidean TSP. Our in-depth analysis of the selectors provides insight into what drives this performance improvement.","lang":"eng"}],"user_id":"102979","publication":"Evolutionary Computation","keyword":["automated algorithm selection","machine learning.","performance modeling","Travelling Salesperson Problem"],"author":[{"last_name":"Kerschke","full_name":"Kerschke, Pascal","first_name":"Pascal"},{"last_name":"Kotthoff","first_name":"Lars","full_name":"Kotthoff, Lars"},{"full_name":"Bossek, Jakob","orcid":"0000-0002-4121-4668","first_name":"Jakob","id":"102979","last_name":"Bossek"},{"last_name":"Hoos","full_name":"Hoos, Holger H.","first_name":"Holger H."},{"last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"}],"volume":26,"date_created":"2023-11-14T15:58:58Z","status":"public","intvolume":" 26","_id":"48884","issue":"4","page":"597–620","citation":{"bibtex":"@article{Kerschke_Kotthoff_Bossek_Hoos_Trautmann_2018, title={Leveraging TSP Solver Complementarity through Machine Learning}, volume={26}, DOI={10.1162/evco_a_00215}, number={4}, journal={Evolutionary Computation}, author={Kerschke, Pascal and Kotthoff, Lars and Bossek, Jakob and Hoos, Holger H. and Trautmann, Heike}, year={2018}, pages={597–620} }","mla":"Kerschke, Pascal, et al. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation, vol. 26, no. 4, 2018, pp. 597–620, doi:10.1162/evco_a_00215.","ama":"Kerschke P, Kotthoff L, Bossek J, Hoos HH, Trautmann H. Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary Computation. 2018;26(4):597–620. doi:10.1162/evco_a_00215","apa":"Kerschke, P., Kotthoff, L., Bossek, J., Hoos, H. H., & Trautmann, H. (2018). Leveraging TSP Solver Complementarity through Machine Learning. Evolutionary Computation, 26(4), 597–620. https://doi.org/10.1162/evco_a_00215","chicago":"Kerschke, Pascal, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, and Heike Trautmann. “Leveraging TSP Solver Complementarity through Machine Learning.” Evolutionary Computation 26, no. 4 (2018): 597–620. https://doi.org/10.1162/evco_a_00215.","ieee":"P. Kerschke, L. Kotthoff, J. Bossek, H. H. Hoos, and H. Trautmann, “Leveraging TSP Solver Complementarity through Machine Learning,” Evolutionary Computation, vol. 26, no. 4, pp. 597–620, 2018, doi: 10.1162/evco_a_00215.","short":"P. Kerschke, L. Kotthoff, J. Bossek, H.H. Hoos, H. Trautmann, Evolutionary Computation 26 (2018) 597–620."},"type":"journal_article","year":"2018","title":"Leveraging TSP Solver Complementarity through Machine Learning","department":[{"_id":"819"}],"publication_identifier":{"issn":["1063-6560"]},"date_updated":"2023-12-13T10:51:26Z","doi":"10.1162/evco_a_00215","language":[{"iso":"eng"}]},{"date_updated":"2024-03-21T14:43:08Z","language":[{"iso":"eng"}],"title":"Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes","department":[{"_id":"208"},{"_id":"282"}],"publication_identifier":{"unknown":["2194-6175"]},"intvolume":" 8","_id":"4419","issue":"2","page":"1-11","citation":{"short":"A.P. Fust, T. Jenert, C. Winkler, Entrepreneurship Research Journal 8 (2018) 1–11.","ieee":"A. P. Fust, T. Jenert, and C. Winkler, “Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes,” Entrepreneurship Research Journal, vol. 8, no. 2, pp. 1–11, 2018.","chicago":"Fust, Alexander Paul, Tobias Jenert, and Christoph Winkler. “Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes.” Entrepreneurship Research Journal 8, no. 2 (2018): 1–11.","apa":"Fust, A. P., Jenert, T., & Winkler, C. (2018). Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes. Entrepreneurship Research Journal, 8(2), 1–11.","ama":"Fust AP, Jenert T, Winkler C. Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes. Entrepreneurship Research Journal. 2018;8(2):1-11.","mla":"Fust, Alexander Paul, et al. “Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes.” Entrepreneurship Research Journal, vol. 8, no. 2, de @Gruyter, 2018, pp. 1–11.","bibtex":"@article{Fust_Jenert_Winkler_2018, title={Experiential or Self-Regulated Learning: A Critical Reflection of Entrepreneurial Learning Processes}, volume={8}, number={2}, journal={Entrepreneurship Research Journal}, publisher={de @Gruyter}, author={Fust, Alexander Paul and Jenert, Tobias and Winkler, Christoph}, year={2018}, pages={1–11} }"},"year":"2018","type":"journal_article","abstract":[{"lang":"eng","text":"Research on entrepreneurial learning highlights the importance of experience and prior knowledge to entrepreneurial success. However, a conundrum remains and we are still seeking answers as to why some novice entrepreneurs learn successfully from their experiences and succeed, while some experienced entrepreneurs fail with their ventures. In order to advance the discussion about the role of experience during entrepreneurial learning, our critical reflection aims to (1) highlight some of the shortcomings of experiential learning theory (ELT) and (2) illustrate how alternative theoretical perspectives have the potential to advance our conceptual understanding of entrepreneurial learning processes. We argue for an explanation of entrepreneurial learning as a dynamic and self-regulated process that relies on planning, monitoring, and self-reflection."}],"user_id":"71994","publication":"Entrepreneurship Research Journal","keyword":["entrepreneurial learning","experiential learning","self-regulated learning"],"author":[{"first_name":"Alexander Paul","full_name":"Fust, Alexander Paul","last_name":"Fust"},{"last_name":"Jenert","id":"71994","first_name":"Tobias","orcid":" https://orcid.org/0000-0001-9262-5646","full_name":"Jenert, Tobias"},{"full_name":"Winkler, Christoph","first_name":"Christoph","last_name":"Winkler"}],"quality_controlled":"1","publisher":"de @Gruyter","date_created":"2018-09-18T08:47:00Z","status":"public","volume":8},{"title":"Human agency at work: An active approach towards expertise development","place":"Wiesbaden","publication_status":"published","publication_identifier":{"isbn":["978-3-658-18285-4"]},"department":[{"_id":"452"}],"doi":"10.1007/978-3-658-18286-1","date_updated":"2022-01-06T06:59:27Z","language":[{"iso":"eng"}],"user_id":"30984","abstract":[{"lang":"eng","text":"Michael Goller gives a structured overview of the current discourses of human agency in relation to professional learning and development. Based on this discussion, the author develops a theoretical framework including human agency as an individual feature (i. e., a disposition) as well as a set of self-initiated and goal-directed behaviours that are assumed to affect employees’ learning and development (e. g., crafting of new work experiences). He then further specifies this theoretical framework and investigates it empirically in the domain of geriatric care nursing. Based on the findings of the three empirical studies conducted, the author discusses the relevance of human agency for the development of professional expertise of geriatric care nurses.\r\n\r\nThe work received the American Educational Research Association (AERA) Workplace Learning SIG 2017 Dissertation of the Year Award."}],"status":"public","date_created":"2018-07-23T09:29:39Z","quality_controlled":"1","publisher":"Springer","author":[{"last_name":"Goller","id":"30984","first_name":"Michael","full_name":"Goller, Michael","orcid":"0000-0002-2820-9178"}],"keyword":["Workplace learning","Agency","Expertise"],"_id":"3600","type":"book","citation":{"ama":"Goller M. Human Agency at Work: An Active Approach towards Expertise Development. Wiesbaden: Springer; 2017. doi:10.1007/978-3-658-18286-1","apa":"Goller, M. (2017). Human agency at work: An active approach towards expertise development. Wiesbaden: Springer. https://doi.org/10.1007/978-3-658-18286-1","chicago":"Goller, Michael. Human Agency at Work: An Active Approach towards Expertise Development. Wiesbaden: Springer, 2017. https://doi.org/10.1007/978-3-658-18286-1.","mla":"Goller, Michael. Human Agency at Work: An Active Approach towards Expertise Development. Springer, 2017, doi:10.1007/978-3-658-18286-1.","bibtex":"@book{Goller_2017, place={Wiesbaden}, title={Human agency at work: An active approach towards expertise development}, DOI={10.1007/978-3-658-18286-1}, publisher={Springer}, author={Goller, Michael}, year={2017} }","short":"M. Goller, Human Agency at Work: An Active Approach towards Expertise Development, Springer, Wiesbaden, 2017.","ieee":"M. Goller, Human agency at work: An active approach towards expertise development. Wiesbaden: Springer, 2017."},"year":"2017","page":"373","main_file_link":[{"url":"https://link.springer.com/book/10.1007%2F978-3-658-18286-1"}]},{"page":"205 - 215","year":"2017","type":"journal_article","citation":{"bibtex":"@article{Scholz_Dorner_Schryen_Benlian_2017, title={A configuration-based recommender system for supporting e-commerce decisions}, volume={259}, number={1}, journal={European Journal of Operational Research}, publisher={Elsevier}, author={Scholz, Michael and Dorner, Verena and Schryen, Guido and Benlian, Alexander}, year={2017}, pages={205–215} }","mla":"Scholz, Michael, et al. “A Configuration-Based Recommender System for Supporting e-Commerce Decisions.” European Journal of Operational Research, vol. 259, no. 1, Elsevier, 2017, pp. 205–15.","chicago":"Scholz, Michael, Verena Dorner, Guido Schryen, and Alexander Benlian. “A Configuration-Based Recommender System for Supporting e-Commerce Decisions.” European Journal of Operational Research 259, no. 1 (2017): 205–15.","ama":"Scholz M, Dorner V, Schryen G, Benlian A. A configuration-based recommender system for supporting e-commerce decisions. European Journal of Operational Research. 2017;259(1):205-215.","apa":"Scholz, M., Dorner, V., Schryen, G., & Benlian, A. (2017). A configuration-based recommender system for supporting e-commerce decisions. European Journal of Operational Research, 259(1), 205–215.","ieee":"M. Scholz, V. Dorner, G. Schryen, and A. Benlian, “A configuration-based recommender system for supporting e-commerce decisions,” European Journal of Operational Research, vol. 259, no. 1, pp. 205–215, 2017.","short":"M. Scholz, V. Dorner, G. Schryen, A. Benlian, European Journal of Operational Research 259 (2017) 205–215."},"issue":"1","intvolume":" 259","_id":"5671","date_created":"2018-11-14T15:06:18Z","has_accepted_license":"1","status":"public","volume":259,"file":[{"access_level":"open_access","date_created":"2018-12-07T11:30:59Z","file_name":"EJOR article.pdf","content_type":"application/pdf","date_updated":"2018-12-13T15:06:56Z","relation":"main_file","file_size":762889,"creator":"hsiemes","file_id":"6025"}],"publication":"European Journal of Operational Research","keyword":["E-Commerce","Recommender System","Attribute Weights","Configuration System","Decision Support"],"file_date_updated":"2018-12-13T15:06:56Z","publisher":"Elsevier","author":[{"last_name":"Scholz","full_name":"Scholz, Michael","first_name":"Michael"},{"last_name":"Dorner","first_name":"Verena","full_name":"Dorner, Verena"},{"last_name":"Schryen","id":"72850","first_name":"Guido","full_name":"Schryen, Guido"},{"first_name":"Alexander","full_name":"Benlian, Alexander","last_name":"Benlian"}],"user_id":"61579","ddc":["000"],"abstract":[{"text":"Multi-attribute value theory (MAVT)-based recommender systems have been proposed for dealing with issues of existing recommender systems, such as the cold-start problem and changing preferences. However, as we argue in this paper, existing MAVT-based methods for measuring attribute importance weights do not fit the shopping tasks for which recommender systems are typically used. These methods assume well-trained decision makers who are willing to invest time and cognitive effort, and who are familiar with the attributes describing the available alternatives and the ranges of these attribute levels. Yet, recommender systems are most often used by consumers who are usually not familiar with the available attributes and ranges and who wish to save time and effort. Against this background, we develop a new method, based on a product configuration process, which is tailored to the characteristics of these particular decision makers. We empirically compare our method to SWING, ranking-based conjoint analysis and TRADEOFF in a between-subjects laboratory experiment with 153 participants. Results indicate that our proposed method performs better than TRADEOFF and CONJOINT and at least as well as SWING in terms of recommendation accuracy, better than SWING and TRADEOFF and at least as well as CONJOINT in terms of cognitive load, and that participants were faster with our method than with any other method. We conclude that our method is a promising option to help support consumers' decision processes in e-commerce shopping tasks.","lang":"eng"}],"extern":"1","language":[{"iso":"eng"}],"oa":"1","date_updated":"2022-01-06T07:02:27Z","department":[{"_id":"277"}],"title":"A configuration-based recommender system for supporting e-commerce decisions"},{"title":"Semantic Annotation of Software Requirements with Language Frame","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"9","name":"SFB 901 - Subproject B1"}],"publication_status":"published","publication_identifier":{"issn":["2205-8494"]},"department":[{"_id":"36"},{"_id":"1"},{"_id":"579"}],"date_updated":"2022-01-06T06:50:55Z","language":[{"iso":"eng"}],"user_id":"477","ddc":["000"],"article_type":"original","abstract":[{"lang":"eng","text":"An end user generally writes down software requirements in ambiguous expressions using natural language; hence, a software developer attuned to programming language finds it difficult to understand th meaning of the requirements. To solve this problem we define semantic categories for disambiguation and classify/annotate the requirement into the categories by using machine-learning models. We extensively use a language frame closely related to such categories for designing features to overcome the problem of insufficient training data compare to the large number of classes. Our proposed model obtained a micro-average F1-score of 0.75, outperforming the previous model, REaCT."}],"status":"public","has_accepted_license":"1","date_created":"2018-01-25T15:23:15Z","volume":4,"file":[{"creator":"ups","file_id":"6196","file_size":244655,"success":1,"relation":"main_file","content_type":"application/pdf","date_updated":"2018-12-12T15:30:59Z","file_name":"Semantic_Annotation_of_Software_Requirements.pdf","date_created":"2018-12-12T15:30:59Z","access_level":"closed"}],"publisher":"Global Vision School Publication","quality_controlled":"1","author":[{"last_name":"Kim","full_name":"Kim, Yeong-Su","first_name":"Yeong-Su"},{"last_name":"Lee","first_name":"Seung-Woo ","full_name":"Lee, Seung-Woo "},{"first_name":"Markus","full_name":"Dollmann, Markus","last_name":"Dollmann","id":"27578"},{"id":"42496","last_name":"Geierhos","full_name":"Geierhos, Michaela","orcid":"0000-0002-8180-5606","first_name":"Michaela"}],"publication":"International Journal of Software Engineering for Smart Device","file_date_updated":"2018-12-12T15:30:59Z","keyword":["Natural Language Processing","Semantic Annotation","Machine Learning"],"issue":"2","intvolume":" 4","_id":"1098","year":"2017","citation":{"mla":"Kim, Yeong-Su, et al. “Semantic Annotation of Software Requirements with Language Frame.” International Journal of Software Engineering for Smart Device, vol. 4, no. 2, Global Vision School Publication, 2017, pp. 1–6.","bibtex":"@article{Kim_Lee_Dollmann_Geierhos_2017, title={Semantic Annotation of Software Requirements with Language Frame}, volume={4}, number={2}, journal={International Journal of Software Engineering for Smart Device}, publisher={Global Vision School Publication}, author={Kim, Yeong-Su and Lee, Seung-Woo and Dollmann, Markus and Geierhos, Michaela}, year={2017}, pages={1–6} }","chicago":"Kim, Yeong-Su, Seung-Woo Lee, Markus Dollmann, and Michaela Geierhos. “Semantic Annotation of Software Requirements with Language Frame.” International Journal of Software Engineering for Smart Device 4, no. 2 (2017): 1–6.","apa":"Kim, Y.-S., Lee, S.-W., Dollmann, M., & Geierhos, M. (2017). Semantic Annotation of Software Requirements with Language Frame. International Journal of Software Engineering for Smart Device, 4(2), 1–6.","ama":"Kim Y-S, Lee S-W, Dollmann M, Geierhos M. Semantic Annotation of Software Requirements with Language Frame. International Journal of Software Engineering for Smart Device. 2017;4(2):1-6.","ieee":"Y.-S. Kim, S.-W. Lee, M. Dollmann, and M. Geierhos, “Semantic Annotation of Software Requirements with Language Frame,” International Journal of Software Engineering for Smart Device, vol. 4, no. 2, pp. 1–6, 2017.","short":"Y.-S. Kim, S.-W. Lee, M. Dollmann, M. Geierhos, International Journal of Software Engineering for Smart Device 4 (2017) 1–6."},"type":"journal_article","page":"1-6"},{"publication":"Agency at work: An agentic perspective on professional learning and development","keyword":["Agency","Workplace learning","Professional development"],"publisher":"Springer International Publishing","author":[{"full_name":"Paloniemi, Susanna","first_name":"Susanna","last_name":"Paloniemi"},{"id":"30984","last_name":"Goller","orcid":"0000-0002-2820-9178","full_name":"Goller, Michael","first_name":"Michael"}],"date_created":"2022-02-03T12:26:49Z","status":"public","abstract":[{"lang":"eng","text":"The present volume has aimed to cover a broad range of approaches to agency at work, exploring its relationship with professional learning and development. Thus, the chapters included in this book have discussed the role of agency in learning and development, considering a variety of working life contexts and applying both conceptual and empirical perspectives. This final chapter provides an overview of both the conceptual approaches and the empirical implementations. We see the perspectives as complementary. From the content of the book, we discern the phenomena as falling on two main dimensions, clustering at opposite ends of these dimensions. Thus, the following contrasts are evidenced: (a) agency understood as a personal capacity, vs. agency as behaviour, and (b) agency as an individual phenomenon, vs. agency as a collective phenomenon. All the chapters emphasise that agency is needed for learning and development. However, they differ in how they view the relationships between the concepts. They also exhibit differences in the empirical decisions taken and the research strategies chosen. In this concluding chapter, we discuss the main similarities and differences emerging from the chapters. We also highlight avenues for future research on agency and its relationship with professional learning."}],"user_id":"79910","main_file_link":[{"open_access":"1","url":"https://link.springer.com/chapter/10.1007/978-3-319-60943-0_23"}],"page":"465-478","citation":{"apa":"Paloniemi, S., & Goller, M. (2017). The Multifaceted Nature of Agency and Professional Learning. In M. Goller & S. Paloniemi (Eds.), Agency at work: An agentic perspective on professional learning and development (pp. 465–478). Springer International Publishing. https://doi.org/10.1007/978-3-319-60943-0_23","ama":"Paloniemi S, Goller M. The Multifaceted Nature of Agency and Professional Learning. In: Goller M, Paloniemi S, eds. Agency at Work: An Agentic Perspective on Professional Learning and Development. Springer International Publishing; 2017:465-478. doi:10.1007/978-3-319-60943-0_23","chicago":"Paloniemi, Susanna, and Michael Goller. “The Multifaceted Nature of Agency and Professional Learning.” In Agency at Work: An Agentic Perspective on Professional Learning and Development, edited by Michael Goller and Susanna Paloniemi, 465–78. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-60943-0_23.","bibtex":"@inbook{Paloniemi_Goller_2017, place={Cham}, title={The Multifaceted Nature of Agency and Professional Learning}, DOI={10.1007/978-3-319-60943-0_23}, booktitle={Agency at work: An agentic perspective on professional learning and development}, publisher={Springer International Publishing}, author={Paloniemi, Susanna and Goller, Michael}, editor={Goller, Michael and Paloniemi, Susanna}, year={2017}, pages={465–478} }","mla":"Paloniemi, Susanna, and Michael Goller. “The Multifaceted Nature of Agency and Professional Learning.” Agency at Work: An Agentic Perspective on Professional Learning and Development, edited by Michael Goller and Susanna Paloniemi, Springer International Publishing, 2017, pp. 465–78, doi:10.1007/978-3-319-60943-0_23.","short":"S. Paloniemi, M. Goller, in: M. Goller, S. Paloniemi (Eds.), Agency at Work: An Agentic Perspective on Professional Learning and Development, Springer International Publishing, Cham, 2017, pp. 465–478.","ieee":"S. Paloniemi and M. Goller, “The Multifaceted Nature of Agency and Professional Learning,” in Agency at work: An agentic perspective on professional learning and development, M. Goller and S. Paloniemi, Eds. Cham: Springer International Publishing, 2017, pp. 465–478."},"year":"2017","type":"book_chapter","_id":"29735","department":[{"_id":"452"}],"publication_status":"published","publication_identifier":{"isbn":["9783319609423","9783319609430"],"issn":["2210-5549","2210-5557"]},"editor":[{"last_name":"Goller","first_name":"Michael","full_name":"Goller, Michael"},{"first_name":"Susanna","full_name":"Paloniemi, Susanna","last_name":"Paloniemi"}],"place":"Cham","title":"The Multifaceted Nature of Agency and Professional Learning","language":[{"iso":"eng"}],"date_updated":"2022-02-03T13:26:36Z","oa":"1","doi":"10.1007/978-3-319-60943-0_23"},{"intvolume":" 2","_id":"28355","issue":"1","page":"108-142","citation":{"ieee":"M. Müller, “Listening to learners’ voices: Qualitative aspects of pronunciation learning during study abroad,” Journal of Second Language Pronunciation, vol. 2, no. 1, pp. 108–142, 2016, doi: 10.1075/jslp.2.1.05mul.","short":"M. Müller, Journal of Second Language Pronunciation 2 (2016) 108–142.","mla":"Müller, Mareike. “Listening to Learners’ Voices: Qualitative Aspects of Pronunciation Learning during Study Abroad.” Journal of Second Language Pronunciation, vol. 2, no. 1, 2016, pp. 108–42, doi:10.1075/jslp.2.1.05mul.","bibtex":"@article{Müller_2016, title={Listening to learners’ voices: Qualitative aspects of pronunciation learning during study abroad}, volume={2}, DOI={10.1075/jslp.2.1.05mul}, number={1}, journal={Journal of Second Language Pronunciation}, author={Müller, Mareike}, year={2016}, pages={108–142} }","chicago":"Müller, Mareike. “Listening to Learners’ Voices: Qualitative Aspects of Pronunciation Learning during Study Abroad.” Journal of Second Language Pronunciation 2, no. 1 (2016): 108–42. https://doi.org/10.1075/jslp.2.1.05mul.","ama":"Müller M. Listening to learners’ voices: Qualitative aspects of pronunciation learning during study abroad. Journal of Second Language Pronunciation. 2016;2(1):108-142. doi:10.1075/jslp.2.1.05mul","apa":"Müller, M. (2016). Listening to learners’ voices: Qualitative aspects of pronunciation learning during study abroad. Journal of Second Language Pronunciation, 2(1), 108–142. https://doi.org/10.1075/jslp.2.1.05mul"},"type":"journal_article","year":"2016","extern":"1","abstract":[{"lang":"eng","text":"This article investigates learners’ perceptions on pronunciation learning in study-abroad contexts from a qualitative perspective. While previous research focused mainly on quantitative measurements of pronunciation gains with mixed results, this study takes a more learner-centered approach and examines the impact of socio-psychological factors on learning foreign pronunciation, which appears to be a highly individual and at times conflict-prone process with which sojourners are confronted. The study draws on the cases of five Canadian students who studied abroad at German universities for one or two semesters. The data collection involved a learning history questionnaire; semi-structured interviews pre-, mid-, and post-sojourn; and bi-weekly e-journals. The data was analyzed and interpreted within the framework of narrative analysis. The results show how sojourners’ beliefs about the importance of pronunciation, community participation, identity-related challenges, and obstacles to pronunciation learning influence and help explain individually different learning behaviors and results."}],"article_type":"original","user_id":"71540","keyword":["pronunciation learning","study abroad","qualitative approach","narrative analysis","learner beliefs","socio-psychological learning factors"],"publication":"Journal of Second Language Pronunciation","author":[{"first_name":"Mareike","full_name":"Müller, Mareike","last_name":"Müller","id":"71540"}],"volume":2,"date_created":"2021-12-07T12:50:39Z","status":"public","date_updated":"2022-01-06T06:58:02Z","doi":"10.1075/jslp.2.1.05mul","language":[{"iso":"eng"}],"title":"Listening to learners’ voices: Qualitative aspects of pronunciation learning during study abroad","department":[{"_id":"468"}],"publication_identifier":{"issn":["2215-1931","2215-194X"]},"publication_status":"published"},{"language":[{"iso":"eng"}],"doi":"10.5772/63462","date_updated":"2023-02-01T16:04:48Z","publication_identifier":{"issn":["1729-8814"]},"department":[{"_id":"749"}],"title":"Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles","type":"journal_article","year":"2016","citation":{"chicago":"Lyon, Caroline, Chrystopher L. Nehaniv, Joe Saunders, Tony Belpaeme, Ambra Bisio, Kerstin Fischer, Frank Forster, et al. “Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles.” International Journal of Advanced Robotic Systems 13, no. 3 (2016). https://doi.org/10.5772/63462.","ama":"Lyon C, Nehaniv CL, Saunders J, et al. Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles. International Journal of Advanced Robotic Systems. 2016;13(3). doi:10.5772/63462","apa":"Lyon, C., Nehaniv, C. L., Saunders, J., Belpaeme, T., Bisio, A., Fischer, K., Forster, F., Lehmann, H., Metta, G., Mohan, V., Morse, A., Nolfi, S., Nori, F., Rohlfing, K., Sciutti, A., Tani, J., Tuci, E., Wrede, B., Zeschel, A., & Cangelosi, A. (2016). Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles. International Journal of Advanced Robotic Systems, 13(3). https://doi.org/10.5772/63462","mla":"Lyon, Caroline, et al. “Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles.” International Journal of Advanced Robotic Systems, vol. 13, no. 3, Intech Europe, 2016, doi:10.5772/63462.","bibtex":"@article{Lyon_Nehaniv_Saunders_Belpaeme_Bisio_Fischer_Forster_Lehmann_Metta_Mohan_et al._2016, title={Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles}, volume={13}, DOI={10.5772/63462}, number={3}, journal={International Journal of Advanced Robotic Systems}, publisher={Intech Europe}, author={Lyon, Caroline and Nehaniv, Chrystopher L. and Saunders, Joe and Belpaeme, Tony and Bisio, Ambra and Fischer, Kerstin and Forster, Frank and Lehmann, Hagen and Metta, Giorgio and Mohan, Vishwanathan and et al.}, year={2016} }","short":"C. Lyon, C.L. Nehaniv, J. Saunders, T. Belpaeme, A. Bisio, K. Fischer, F. Forster, H. Lehmann, G. Metta, V. Mohan, A. Morse, S. Nolfi, F. Nori, K. Rohlfing, A. Sciutti, J. Tani, E. Tuci, B. Wrede, A. Zeschel, A. Cangelosi, International Journal of Advanced Robotic Systems 13 (2016).","ieee":"C. Lyon et al., “Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles,” International Journal of Advanced Robotic Systems, vol. 13, no. 3, 2016, doi: 10.5772/63462."},"issue":"3","intvolume":" 13","_id":"17182","status":"public","date_created":"2020-06-24T13:00:58Z","volume":13,"publisher":"Intech Europe","author":[{"last_name":"Lyon","full_name":"Lyon, Caroline","first_name":"Caroline"},{"first_name":"Chrystopher L.","full_name":"Nehaniv, Chrystopher L.","last_name":"Nehaniv"},{"last_name":"Saunders","first_name":"Joe","full_name":"Saunders, Joe"},{"last_name":"Belpaeme","first_name":"Tony","full_name":"Belpaeme, Tony"},{"last_name":"Bisio","full_name":"Bisio, Ambra","first_name":"Ambra"},{"last_name":"Fischer","first_name":"Kerstin","full_name":"Fischer, Kerstin"},{"last_name":"Forster","first_name":"Frank","full_name":"Forster, Frank"},{"last_name":"Lehmann","full_name":"Lehmann, Hagen","first_name":"Hagen"},{"first_name":"Giorgio","full_name":"Metta, Giorgio","last_name":"Metta"},{"last_name":"Mohan","full_name":"Mohan, Vishwanathan","first_name":"Vishwanathan"},{"last_name":"Morse","first_name":"Anthony","full_name":"Morse, Anthony"},{"first_name":"Stefano","full_name":"Nolfi, Stefano","last_name":"Nolfi"},{"first_name":"Francesco","full_name":"Nori, Francesco","last_name":"Nori"},{"full_name":"Rohlfing, Katharina","first_name":"Katharina","id":"50352","last_name":"Rohlfing"},{"last_name":"Sciutti","first_name":"Alessandra","full_name":"Sciutti, Alessandra"},{"last_name":"Tani","first_name":"Jun","full_name":"Tani, Jun"},{"last_name":"Tuci","full_name":"Tuci, Elio","first_name":"Elio"},{"first_name":"Britta","full_name":"Wrede, Britta","last_name":"Wrede"},{"first_name":"Arne","full_name":"Zeschel, Arne","last_name":"Zeschel"},{"last_name":"Cangelosi","full_name":"Cangelosi, Angelo","first_name":"Angelo"}],"keyword":["Robot Language","Human Robot Interaction","HRI","Developmental Robotics","Cognitive Bootstrapping","Statistical Learning"],"publication":"International Journal of Advanced Robotic Systems","user_id":"14931","abstract":[{"lang":"eng","text":"Co-development of action, conceptualization and social interaction mutually scaffold and support each other within a virtuous feedback cycle in the development of human language in children. Within this framework, the purpose of this article is to bring together diverse but complementary accounts of research methods that jointly contribute to our understanding of cognitive development and in particular, language acquisition in robots. Thus, we include research pertaining to developmental robotics, cognitive science, psychology, linguistics and neuroscience, as well as practical computer science and engineering. The different studies are not at this stage all connected into a cohesive whole; rather, they are presented to illuminate the need for multiple different approaches that complement each other in the pursuit of understanding cognitive development in robots. Extensive experiments involving the humanoid robot iCub are reported, while human learning relevant to developmental robotics has also contributed useful results. Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel co-development of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods."}]},{"title":"An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames","user_id":"14931","abstract":[{"text":"The classic mapping metaphor posits that children learn a word by mapping it onto a concept of an object or event. However, we believe that a mapping metaphor cannot account for word learning, because even though children focus attention on objects, they do not necessarily remember the connection between the word and the referent unless it is framed pragmatically, that is, within a task. Our theoretical paper proposes an alternative mechanism for word learning. Our main premise is that word learning occurs as children accomplish a goal in cooperation with a partner. We follow Bruner's (1983) idea and further specify pragmatic frames as the learning units that drive language acquisition and cognitive development. These units consist of a sequence of actions and verbal behaviors that are co-constructed with a partner to achieve a joint goal. We elaborate on this alternative, offer some initial parametrizations of the concept, and embed it in current language learning approaches.","lang":"eng"}],"volume":7,"publication_identifier":{"issn":["1664-1078"]},"date_created":"2020-06-24T13:00:57Z","status":"public","department":[{"_id":"749"}],"keyword":["language acquisition","pragmatics","infants' social learning","frames","learning and memory","developmental robotics"],"publication":"FRONTIERS IN PSYCHOLOGY","author":[{"last_name":"Rohlfing","id":"50352","first_name":"Katharina","full_name":"Rohlfing, Katharina"},{"full_name":"Wrede, Britta","first_name":"Britta","last_name":"Wrede"},{"first_name":"Anna-Lisa","full_name":"Vollmer, Anna-Lisa","last_name":"Vollmer"},{"last_name":"Oudeyer","first_name":"Pierre-Yves","full_name":"Oudeyer, Pierre-Yves"}],"publisher":"Frontiers Media Sa","doi":"10.3389/fpsyg.2016.00470","date_updated":"2023-02-01T16:04:21Z","_id":"17181","intvolume":" 7","citation":{"ama":"Rohlfing K, Wrede B, Vollmer A-L, Oudeyer P-Y. An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames. FRONTIERS IN PSYCHOLOGY. 2016;7. doi:10.3389/fpsyg.2016.00470","apa":"Rohlfing, K., Wrede, B., Vollmer, A.-L., & Oudeyer, P.-Y. (2016). An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames. FRONTIERS IN PSYCHOLOGY, 7. https://doi.org/10.3389/fpsyg.2016.00470","chicago":"Rohlfing, Katharina, Britta Wrede, Anna-Lisa Vollmer, and Pierre-Yves Oudeyer. “An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames.” FRONTIERS IN PSYCHOLOGY 7 (2016). https://doi.org/10.3389/fpsyg.2016.00470.","mla":"Rohlfing, Katharina, et al. “An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames.” FRONTIERS IN PSYCHOLOGY, vol. 7, Frontiers Media Sa, 2016, doi:10.3389/fpsyg.2016.00470.","bibtex":"@article{Rohlfing_Wrede_Vollmer_Oudeyer_2016, title={An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames}, volume={7}, DOI={10.3389/fpsyg.2016.00470}, journal={FRONTIERS IN PSYCHOLOGY}, publisher={Frontiers Media Sa}, author={Rohlfing, Katharina and Wrede, Britta and Vollmer, Anna-Lisa and Oudeyer, Pierre-Yves}, year={2016} }","short":"K. Rohlfing, B. Wrede, A.-L. Vollmer, P.-Y. Oudeyer, FRONTIERS IN PSYCHOLOGY 7 (2016).","ieee":"K. Rohlfing, B. Wrede, A.-L. Vollmer, and P.-Y. Oudeyer, “An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames,” FRONTIERS IN PSYCHOLOGY, vol. 7, 2016, doi: 10.3389/fpsyg.2016.00470."},"type":"journal_article","year":"2016","language":[{"iso":"eng"}]},{"language":[{"iso":"ger"}],"date_updated":"2023-11-28T20:39:27Z","department":[{"_id":"43"}],"publication_status":"published","title":"Spielend Lehrer/in werden: problembasiertes Lernen mit virtuellen Schülerinnen/Schülern. ","page":"213-245","type":"journal_article","citation":{"bibtex":"@article{Praetorius_Al-Kabbani_Bohndick_Hilkenmeier_König_Müsche_Sommer_Klingsieck_2016, title={Spielend Lehrer/in werden: problembasiertes Lernen mit virtuellen Schülerinnen/Schülern. }, volume={11}, number={3}, journal={Zeitschrift für Hochschulentwicklung}, author={Praetorius, Saskia and Al-Kabbani, Daniel and Bohndick, Carla and Hilkenmeier, Johanna and König, Sebastian T. and Müsche, Hannah S. and Sommer, Sabrina and Klingsieck, Katrin B.}, year={2016}, pages={213–245} }","mla":"Praetorius, Saskia, et al. “Spielend Lehrer/in werden: problembasiertes Lernen mit virtuellen Schülerinnen/Schülern. .” Zeitschrift für Hochschulentwicklung, vol. 11, no. 3, 2016, pp. 213–45.","ama":"Praetorius S, Al-Kabbani D, Bohndick C, et al. Spielend Lehrer/in werden: problembasiertes Lernen mit virtuellen Schülerinnen/Schülern. . Zeitschrift für Hochschulentwicklung. 2016;11(3):213-245.","apa":"Praetorius, S., Al-Kabbani, D., Bohndick, C., Hilkenmeier, J., König, S. T., Müsche, H. S., Sommer, S., & Klingsieck, K. B. (2016). Spielend Lehrer/in werden: problembasiertes Lernen mit virtuellen Schülerinnen/Schülern. . Zeitschrift für Hochschulentwicklung, 11(3), 213–245.","chicago":"Praetorius, Saskia, Daniel Al-Kabbani, Carla Bohndick, Johanna Hilkenmeier, Sebastian T. König, Hannah S. Müsche, Sabrina Sommer, and Katrin B. Klingsieck. “Spielend Lehrer/in werden: problembasiertes Lernen mit virtuellen Schülerinnen/Schülern. .” Zeitschrift für Hochschulentwicklung 11, no. 3 (2016): 213–45.","ieee":"S. Praetorius et al., “Spielend Lehrer/in werden: problembasiertes Lernen mit virtuellen Schülerinnen/Schülern. ,” Zeitschrift für Hochschulentwicklung, vol. 11, no. 3, pp. 213–245, 2016.","short":"S. Praetorius, D. Al-Kabbani, C. Bohndick, J. Hilkenmeier, S.T. König, H.S. Müsche, S. Sommer, K.B. Klingsieck, Zeitschrift für Hochschulentwicklung 11 (2016) 213–245."},"year":"2016","intvolume":" 11","_id":"48462","issue":"3","keyword":["E-Learning","digitale Medien","problembasiertes Lernen","Lehrerbildung","Diagnostik"],"publication":"Zeitschrift für Hochschulentwicklung","quality_controlled":"1","author":[{"first_name":"Saskia","full_name":"Praetorius, Saskia","last_name":"Praetorius","id":"40787"},{"first_name":"Daniel","full_name":"Al-Kabbani, Daniel","last_name":"Al-Kabbani"},{"last_name":"Bohndick","first_name":"Carla","full_name":"Bohndick, Carla"},{"first_name":"Johanna","full_name":"Hilkenmeier, Johanna","last_name":"Hilkenmeier"},{"full_name":"König, Sebastian T.","first_name":"Sebastian T.","last_name":"König"},{"first_name":"Hannah S.","full_name":"Müsche, Hannah S.","last_name":"Müsche"},{"id":"36251","last_name":"Sommer","full_name":"Sommer, Sabrina","first_name":"Sabrina"},{"first_name":"Katrin B.","full_name":"Klingsieck, Katrin B.","last_name":"Klingsieck","id":"36716"}],"volume":11,"date_created":"2023-10-25T10:28:54Z","status":"public","abstract":[{"lang":"ger","text":"Über das Lehramtsstudium sollen Studierende unter anderem dazu befähigt werden, die Leistung ihrer Schüler/innenzu bewerten. Dazu müssen sie Einflussfaktoren auf Schulleistung kennen und diese richtig diagnostizieren und fördern können. Mit diesem Beitrag wird eine game-und E-Learning-gestützte Lernumgebung vorgestellt, in der Studierende –anders als in vielen inputorientierten Seminarkonzepten –in einem virtuellen Klassenzimmer an realitätsnahen Fällen lernen,problembasiert zu diagnostizieren und zu fördern. Über denEinsatz der Lernumgebung in der Lehre wird berichtet, erste Rückmeldungen von Lehrenden und Studierenden werden erläutert und weitere Planungsschritte dargestellt. "}],"article_type":"original","user_id":"36716"},{"doi":"10.1016/j.artint.2015.09.003","date_updated":"2022-01-06T06:59:10Z","language":[{"iso":"eng"}],"title":"Learning Boolean Specifications","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"}],"publication_identifier":{"issn":["0004-3702"]},"department":[{"_id":"34"}],"_id":"3343","citation":{"ieee":"U. Bubeck and H. Kleine Büning, “Learning Boolean Specifications,” Artificial Intelligence, pp. 246–257, 2015.","short":"U. Bubeck, H. Kleine Büning, Artificial Intelligence (2015) 246–257.","bibtex":"@article{Bubeck_Kleine Büning_2015, title={Learning Boolean Specifications}, DOI={10.1016/j.artint.2015.09.003}, journal={Artificial Intelligence}, publisher={Elsevier}, author={Bubeck, Uwe and Kleine Büning, Hans}, year={2015}, pages={246–257} }","mla":"Bubeck, Uwe, and Hans Kleine Büning. “Learning Boolean Specifications.” Artificial Intelligence, Elsevier, 2015, pp. 246–57, doi:10.1016/j.artint.2015.09.003.","ama":"Bubeck U, Kleine Büning H. Learning Boolean Specifications. Artificial Intelligence. 2015:246-257. doi:10.1016/j.artint.2015.09.003","apa":"Bubeck, U., & Kleine Büning, H. (2015). Learning Boolean Specifications. Artificial Intelligence, 246–257. https://doi.org/10.1016/j.artint.2015.09.003","chicago":"Bubeck, Uwe, and Hans Kleine Büning. “Learning Boolean Specifications.” Artificial Intelligence, 2015, 246–57. https://doi.org/10.1016/j.artint.2015.09.003."},"year":"2015","type":"journal_article","page":"246 - 257","user_id":"315","ddc":["000"],"abstract":[{"lang":"eng","text":"In this paper we consider an extended variant of query learning where the hidden concept is embedded in some Boolean circuit. This additional processing layer modifies query arguments and answers by fixed transformation functions which are known to the learner. For this scenario, we provide a characterization of the solution space and an ordering on it. We give a compact representation of the minimal and maximal solutions as quantified Boolean formulas and we adapt the original algorithms for exact learning of specific classes of propositional formulas."}],"status":"public","date_created":"2018-06-25T10:43:19Z","author":[{"full_name":"Bubeck, Uwe","first_name":"Uwe","last_name":"Bubeck"},{"full_name":"Kleine Büning, Hans","first_name":"Hans","last_name":"Kleine Büning"}],"publisher":"Elsevier","publication":"Artificial Intelligence","keyword":["Query learning","Propositional logic"]},{"user_id":"27503","title":"Die Bedeutung subjektiver Sichtweisen für die Implementierung betrieblicher Lernkultur","place":"Linz","status":"public","date_created":"2018-07-23T08:34:49Z","editor":[{"last_name":"Niedermair","first_name":"Gerhard","full_name":"Niedermair, Gerhard"}],"publication_identifier":{"isbn":["978-3-99033-403-4"]},"author":[{"full_name":"Fischer, Christoph","first_name":"Christoph","id":"31722","last_name":"Fischer"},{"id":"27503","last_name":"Harteis","full_name":"Harteis, Christian","orcid":"https://orcid.org/0000-0002-3570-7626","first_name":"Christian"}],"publisher":"Trauner","keyword":["Epistemische Überzeugungen","learning culture"],"publication":"Informelles Lernen, Annäherungen - Problemlagen - Forschungsbefunde","_id":"3592","date_updated":"2022-01-06T06:59:26Z","type":"book_chapter","year":"2015","citation":{"ieee":"C. Fischer and C. Harteis, “Die Bedeutung subjektiver Sichtweisen für die Implementierung betrieblicher Lernkultur,” in Informelles Lernen, Annäherungen - Problemlagen - Forschungsbefunde, G. Niedermair, Ed. Linz: Trauner, 2015, pp. 107--123.","short":"C. Fischer, C. Harteis, in: G. Niedermair (Ed.), Informelles Lernen, Annäherungen - Problemlagen - Forschungsbefunde, Trauner, Linz, 2015, pp. 107--123.","mla":"Fischer, Christoph, and Christian Harteis. “Die Bedeutung Subjektiver Sichtweisen Für Die Implementierung Betrieblicher Lernkultur.” Informelles Lernen, Annäherungen - Problemlagen - Forschungsbefunde, edited by Gerhard Niedermair, Trauner, 2015, pp. 107--123.","bibtex":"@inbook{Fischer_Harteis_2015, place={Linz}, series={Schriftenreihe für Berufs- und Betriebspädagogik}, title={Die Bedeutung subjektiver Sichtweisen für die Implementierung betrieblicher Lernkultur}, booktitle={Informelles Lernen, Annäherungen - Problemlagen - Forschungsbefunde}, publisher={Trauner}, author={Fischer, Christoph and Harteis, Christian}, editor={Niedermair, GerhardEditor}, year={2015}, pages={107--123}, collection={Schriftenreihe für Berufs- und Betriebspädagogik} }","apa":"Fischer, C., & Harteis, C. (2015). Die Bedeutung subjektiver Sichtweisen für die Implementierung betrieblicher Lernkultur. In G. Niedermair (Ed.), Informelles Lernen, Annäherungen - Problemlagen - Forschungsbefunde (pp. 107--123). Linz: Trauner.","ama":"Fischer C, Harteis C. Die Bedeutung subjektiver Sichtweisen für die Implementierung betrieblicher Lernkultur. In: Niedermair G, ed. Informelles Lernen, Annäherungen - Problemlagen - Forschungsbefunde. Schriftenreihe für Berufs- und Betriebspädagogik. Linz: Trauner; 2015:107--123.","chicago":"Fischer, Christoph, and Christian Harteis. “Die Bedeutung Subjektiver Sichtweisen Für Die Implementierung Betrieblicher Lernkultur.” In Informelles Lernen, Annäherungen - Problemlagen - Forschungsbefunde, edited by Gerhard Niedermair, 107--123. Schriftenreihe Für Berufs- Und Betriebspädagogik. Linz: Trauner, 2015."},"page":"107--123","series_title":"Schriftenreihe für Berufs- und Betriebspädagogik"},{"language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:02:36Z","department":[{"_id":"181"}],"publication_identifier":{"issn":["0276-7783."]},"publication_status":"published","title":"The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention.","page":"177-200","year":"2015","type":"journal_article","citation":{"short":"A. Scherer, N. Wünderlich, F. Von Wangenheim, MIS Quarterly 39 (2015) 177–200.","ieee":"A. Scherer, N. Wünderlich, and F. Von Wangenheim, “The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention.,” MIS Quarterly, vol. 39, no. 1, pp. 177–200, 2015.","chicago":"Scherer, Anne, Nancy Wünderlich, and Florian Von Wangenheim. “The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention.” MIS Quarterly 39, no. 1 (2015): 177–200.","ama":"Scherer A, Wünderlich N, Von Wangenheim F. The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention. MIS Quarterly. 2015;39(1):177-200.","apa":"Scherer, A., Wünderlich, N., & Von Wangenheim, F. (2015). The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention. MIS Quarterly, 39(1), 177–200.","bibtex":"@article{Scherer_Wünderlich_Von Wangenheim_2015, title={The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention.}, volume={39}, number={1}, journal={MIS Quarterly}, publisher={MIS RC}, author={Scherer, Anne and Wünderlich, Nancy and Von Wangenheim, Florian}, year={2015}, pages={177–200} }","mla":"Scherer, Anne, et al. “The Value of Self-Service: Long-Term Effects of Technology-Based Self-Service Usage on Customer Retention.” MIS Quarterly, vol. 39, no. 1, MIS RC, 2015, pp. 177–200."},"_id":"5704","intvolume":" 39","issue":"1","publication":"MIS Quarterly","keyword":["customer defection","customer retention","e-service","longitudinal","Self-service","value-in-context"],"author":[{"last_name":"Scherer","first_name":"Anne","full_name":"Scherer, Anne"},{"last_name":"Wünderlich","id":"36392","first_name":"Nancy","full_name":"Wünderlich, Nancy"},{"first_name":"Florian","full_name":"Von Wangenheim, Florian","last_name":"Von Wangenheim"}],"publisher":"MIS RC","date_created":"2018-11-15T11:36:38Z","status":"public","volume":39,"abstract":[{"lang":"eng","text":"Advancements in information technology have changed the way customers experience a service encounter and their relationship with service providers. Especially technology-based self-service channels have found their way into the 21st century service economy. While research embraces these channels for their cost-efficiency, it has not examined whether a shift from personal to self-service affects customer–firm relationships. Drawing from the service-dominant logic and its central concept of value-in-context, we discuss customers’ value creation in self-service and personal service channels and examine the long-term impact of these channels on customer retention. Using longitudinal customer data, we investigate how the ratio of self-service versus personal service use influences customer defection over time. Our findings suggest that the ratio of self-service to personal service used affects customer defection in a U-shaped manner, with intermediate levels of both self-service and personal service use being associated with the lowest likelihood of defection. We also find that this effect mitigates over time. We conclude that firms should not shift customers toward self-service channels completely, especially not at the beginning of a relationship. Our study underlines the importance of understanding when and how self-service technologies create valuable customer experiences and stresses the notion of actively managing customers’ cocreation of value. "}],"article_type":"original","user_id":"37741"},{"year":"2015","type":"conference","citation":{"short":"T. Brahm, T. Jenert, D. Wagner, in: 2015.","ieee":"T. Brahm, T. Jenert, and D. Wagner, “The self-fulfilling prophecy of fear of academic failure,” presented at the 16th Biennial EARLI Conference for Research on Learning and Instruction, Zypern, 2015.","apa":"Brahm, T., Jenert, T., & Wagner, D. (2015). The self-fulfilling prophecy of fear of academic failure. Presented at the 16th Biennial EARLI Conference for Research on Learning and Instruction, Zypern.","ama":"Brahm T, Jenert T, Wagner D. The self-fulfilling prophecy of fear of academic failure. In: ; 2015.","chicago":"Brahm, Taiga, Tobias Jenert, and Dietrich Wagner. “The Self-Fulfilling Prophecy of Fear of Academic Failure,” 2015.","mla":"Brahm, Taiga, et al. The Self-Fulfilling Prophecy of Fear of Academic Failure. 2015.","bibtex":"@inproceedings{Brahm_Jenert_Wagner_2015, title={The self-fulfilling prophecy of fear of academic failure}, author={Brahm, Taiga and Jenert, Tobias and Wagner, Dietrich}, year={2015} }"},"_id":"4463","date_updated":"2022-01-06T07:01:05Z","conference":{"end_date":"2015-08-29","location":"Zypern","name":"16th Biennial EARLI Conference for Research on Learning and Instruction","start_date":"2015-08-25"},"status":"public","date_created":"2018-09-18T12:52:45Z","author":[{"full_name":"Brahm, Taiga","first_name":"Taiga","last_name":"Brahm"},{"id":"71994","last_name":"Jenert","orcid":" https://orcid.org/0000-0001-9262-5646","full_name":"Jenert, Tobias","first_name":"Tobias"},{"first_name":"Dietrich","full_name":"Wagner, Dietrich","last_name":"Wagner"}],"keyword":["Quantitative methods","Student learning","Emotion and Cognition","Social sciences","Higher education","Motivation and Emotion","Fear of Failure"],"department":[{"_id":"208"},{"_id":"282"}],"user_id":"51057","title":"The self-fulfilling prophecy of fear of academic failure","abstract":[{"text":"Academic success in Higher Education is influenced by a number of different factors. This paper tackles the question if the individual levels of motivation, anxiety, enjoyment and self-efficacy, measured immediately before entering university, influence the probability of academic success. Former studies have shown an influence of the high school grade, the learning environment and motivational variables. They do not investigate, however, the individual levels of the mentioned constructs before the beginning of the studies. This research was conducted at the University of St. Gallen/Switzerland. The sample includes 695 first-year students who provided information about the individual level of the mentioned constructs. \r\nDescriptive statistics show that on average the students are highly motivated, have a high level of self-efficacy and are looking forward to their studies before their beginning. Yet, there are students who have a high level of fear of failure in the study in spite of their high motivation and self-efficacy. A logistic regression shows that there is a significant effect of fear of failure on the probability of study success. This paper shows that fear of failure can increase the probability of academic failure and thus become a self-fulfilling prophecy. It confirms fear as an important factor for academic success. Furthermore, other important factors for academic success, for example the high school grade, could be confirmed in this study","lang":"eng"}],"extern":"1"},{"title":"A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory","department":[{"_id":"277"}],"date_updated":"2022-01-06T07:02:03Z","oa":"1","language":[{"iso":"eng"}],"abstract":[{"text":"The protection of information technology (IT) has become and is predicted to remain a key economic challenge for organizations. While research on IT security investment is fast growing, it lacks a theoretical basis for structuring research, explaining economic-technological phenomena and guide future research. We address this shortcoming by suggesting a new theoretical model emerging from a multi-theoretical perspective adopt-ing the Resource-Based View and the Organizational Learning Theory. The joint appli-cation of these theories allows to conceptualize in one theoretical model the organiza-tional learning effects that occur when the protection of organizational resources through IT security countermeasures develops over time. We use this model of IT security invest-ments to synthesize findings of a large body of literature and to derive research gaps. We also discuss managerial implications of (closing) these gaps by providing practical ex-amples.","lang":"eng"}],"extern":"1","user_id":"61579","ddc":["000"],"file":[{"file_size":958019,"file_id":"6038","creator":"hsiemes","content_type":"application/pdf","date_updated":"2018-12-13T15:09:32Z","relation":"main_file","date_created":"2018-12-07T11:45:31Z","file_name":"ICIS PROCEEDINGS PAPER - Security Investments.pdf","access_level":"open_access"}],"author":[{"last_name":"Weishäupl","full_name":"Weishäupl, Eva","first_name":"Eva"},{"last_name":"Yasasin","full_name":"Yasasin, Emrah","first_name":"Emrah"},{"full_name":"Schryen, Guido","first_name":"Guido","id":"72850","last_name":"Schryen"}],"file_date_updated":"2018-12-13T15:09:32Z","keyword":["Information Security","Investment","Literature review","Resource-based View","Organi-zational Learning Theory","Multi-theoretical Perspective"],"publication":"International Conference on Information Systems","status":"public","has_accepted_license":"1","date_created":"2018-11-14T11:25:38Z","_id":"5588","type":"conference","year":"2015","citation":{"chicago":"Weishäupl, Eva, Emrah Yasasin, and Guido Schryen. “A Multi-Theoretical Literature Review on Information Security Investments Using the Resource-Based View and the Organizational Learning Theory.” In International Conference on Information Systems, 2015.","ama":"Weishäupl E, Yasasin E, Schryen G. A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory. In: International Conference on Information Systems. ; 2015.","apa":"Weishäupl, E., Yasasin, E., & Schryen, G. (2015). A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory. In International Conference on Information Systems.","bibtex":"@inproceedings{Weishäupl_Yasasin_Schryen_2015, title={A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory}, booktitle={International Conference on Information Systems}, author={Weishäupl, Eva and Yasasin, Emrah and Schryen, Guido}, year={2015} }","mla":"Weishäupl, Eva, et al. “A Multi-Theoretical Literature Review on Information Security Investments Using the Resource-Based View and the Organizational Learning Theory.” International Conference on Information Systems, 2015.","short":"E. Weishäupl, E. Yasasin, G. Schryen, in: International Conference on Information Systems, 2015.","ieee":"E. Weishäupl, E. Yasasin, and G. Schryen, “A Multi-Theoretical Literature Review on Information Security Investments using the Resource-Based View and the Organizational Learning Theory,” in International Conference on Information Systems, 2015."}},{"status":"public","date_created":"2019-07-12T05:30:51Z","author":[{"first_name":"Oliver","full_name":"Walter, Oliver","last_name":"Walter"},{"id":"242","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold","first_name":"Reinhold"},{"last_name":"Mokbel","first_name":"Bassam","full_name":"Mokbel, Bassam"},{"full_name":"Paassen, Benjamin","first_name":"Benjamin","last_name":"Paassen"},{"last_name":"Hammer","full_name":"Hammer, Barbara","first_name":"Barbara"}],"department":[{"_id":"54"}],"keyword":["Representation learning","Metric learning","Deep representation","Spoken language"],"publication":"KI - Kuenstliche Intelligenz","title":"Autonomous Learning of Representations","user_id":"44006","abstract":[{"lang":"eng","text":"Besides the core learning algorithm itself, one major question in machine learning is how to best encode given training data such that the learning technology can efficiently learn based thereon and generalize to novel data. While classical approaches often rely on a hand coded data representation, the topic of autonomous representation or feature learning plays a major role in modern learning architectures. The goal of this contribution is to give an overview about different principles of autonomous feature learning, and to exemplify two principles based on two recent examples: autonomous metric learning for sequences, and autonomous learning of a deep representation for spoken language, respectively."}],"citation":{"bibtex":"@article{Walter_Haeb-Umbach_Mokbel_Paassen_Hammer_2015, title={Autonomous Learning of Representations}, DOI={http://dx.doi.org/10.1007/s13218-015-0372-1}, journal={KI - Kuenstliche Intelligenz}, author={Walter, Oliver and Haeb-Umbach, Reinhold and Mokbel, Bassam and Paassen, Benjamin and Hammer, Barbara}, year={2015}, pages={1–13} }","mla":"Walter, Oliver, et al. “Autonomous Learning of Representations.” KI - Kuenstliche Intelligenz, 2015, pp. 1–13, doi:http://dx.doi.org/10.1007/s13218-015-0372-1.","apa":"Walter, O., Haeb-Umbach, R., Mokbel, B., Paassen, B., & Hammer, B. (2015). Autonomous Learning of Representations. KI - Kuenstliche Intelligenz, 1–13. http://dx.doi.org/10.1007/s13218-015-0372-1","ama":"Walter O, Haeb-Umbach R, Mokbel B, Paassen B, Hammer B. Autonomous Learning of Representations. KI - Kuenstliche Intelligenz. 2015:1-13. doi:http://dx.doi.org/10.1007/s13218-015-0372-1","chicago":"Walter, Oliver, Reinhold Haeb-Umbach, Bassam Mokbel, Benjamin Paassen, and Barbara Hammer. “Autonomous Learning of Representations.” KI - Kuenstliche Intelligenz, 2015, 1–13. http://dx.doi.org/10.1007/s13218-015-0372-1.","ieee":"O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, and B. Hammer, “Autonomous Learning of Representations,” KI - Kuenstliche Intelligenz, pp. 1–13, 2015.","short":"O. Walter, R. Haeb-Umbach, B. Mokbel, B. Paassen, B. Hammer, KI - Kuenstliche Intelligenz (2015) 1–13."},"type":"journal_article","year":"2015","page":"1-13","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/2015/WaHaMoPaHa15.pdf"}],"doi":"http://dx.doi.org/10.1007/s13218-015-0372-1","oa":"1","_id":"11922","date_updated":"2022-01-06T06:51:12Z"},{"title":"Zum Einfluss des didaktischen Designs auf das (motivationale) Erleben von Lehrveranstaltungen: Eine quantitative Fallstudie im Rahmen der Methodeneinführung in den Bildungswissenschaften","user_id":"50788","related_material":{"link":[{"relation":"other","url":"http://www.hochschullehre.org/?p=699"}]},"abstract":[{"text":"Im Sinne eines Scholarship of Teaching and Learning wird in diesem Aufsatz die Neugestaltung einer eigenständig durchgeführten Lehrveranstaltung im Bereich der Forschungsmethoden empirisch untersucht. Die neugestaltete Lehrveranstaltung integriert sowohl direkt-instruktionale als auch kooperativ-offene Sitzungsformate und wird mit einer thematisch ähnlichen Lehrveranstaltung des Jahres 2012 verglichen, welche fast ausschließlich im Vorlesungsstil (direkt-instruktional) gehalten wurde. Im Mittelpunkt des Evaluationsvorhabens standen folgende Forschungsfragen: (1) Unterscheiden sich die summativen Evaluationen der Lehrveranstaltungen der Jahre 2012 und 2014 in den Variablen subjektiver Lernerfolg, Motivation zur selbstständigen Auseinandersetzung mit den Inhalten sowie Gesamteindruck des Seminars?, (2) Welchen Einfluss hat die Form der Sitzungsgestaltung (direkt-instruktional vs. kooperativ-offen) auf das Erleben von Kompetenz, Autonomie und sozialer Eingebundenheit?, (3) Welche Form der Sitzungsgestaltung wird von den Studierenden stärker akzeptiert? und (4) Welchen Einfluss hat die Form der Sitzungsgestaltung auf den subjektiven Lernerfolg der Studierenden? Empirisch zeigte sich, dass die neugestaltete Lehrveranstaltung des Jahres 2014 von den Studierenden in fast allen Variablen als lernwirksamer eingeschätzt wurde. Des Weiteren ergaben sich Hinweise, dass sich kooperativ-offene Sitzungsformate positiv auf motivationale Ausgangsbedingungen auswirken.","lang":"ger"}],"publication_status":"published","date_created":"2022-02-04T09:06:28Z","status":"public","keyword":["Direkte Instruktion","Evaluation","Kooperatives Lernen","Methodenausbildung","Paderborn","Scholarship of Teaching and Learning"],"publication":"die hochschullehre","department":[{"_id":"452"}],"author":[{"last_name":"Goller","id":"30984","first_name":"Michael","full_name":"Goller, Michael","orcid":"0000-0002-2820-9178"}],"_id":"29755","date_updated":"2022-02-04T09:06:34Z","citation":{"bibtex":"@article{Goller_2015, title={Zum Einfluss des didaktischen Designs auf das (motivationale) Erleben von Lehrveranstaltungen: Eine quantitative Fallstudie im Rahmen der Methodeneinführung in den Bildungswissenschaften}, journal={die hochschullehre}, author={Goller, Michael}, year={2015} }","mla":"Goller, Michael. “Zum Einfluss des didaktischen Designs auf das (motivationale) Erleben von Lehrveranstaltungen: Eine quantitative Fallstudie im Rahmen der Methodeneinführung in den Bildungswissenschaften.” die hochschullehre, 2015.","apa":"Goller, M. (2015). Zum Einfluss des didaktischen Designs auf das (motivationale) Erleben von Lehrveranstaltungen: Eine quantitative Fallstudie im Rahmen der Methodeneinführung in den Bildungswissenschaften. die hochschullehre.","ama":"Goller M. Zum Einfluss des didaktischen Designs auf das (motivationale) Erleben von Lehrveranstaltungen: Eine quantitative Fallstudie im Rahmen der Methodeneinführung in den Bildungswissenschaften. die hochschullehre. Published online 2015.","chicago":"Goller, Michael. “Zum Einfluss des didaktischen Designs auf das (motivationale) Erleben von Lehrveranstaltungen: Eine quantitative Fallstudie im Rahmen der Methodeneinführung in den Bildungswissenschaften.” die hochschullehre, 2015.","ieee":"M. Goller, “Zum Einfluss des didaktischen Designs auf das (motivationale) Erleben von Lehrveranstaltungen: Eine quantitative Fallstudie im Rahmen der Methodeneinführung in den Bildungswissenschaften,” die hochschullehre, 2015.","short":"M. Goller, die hochschullehre (2015)."},"year":"2015","type":"journal_article","language":[{"iso":"ger"}]},{"type":"journal_article","citation":{"ieee":"A.-L. Vollmer, K. Rohlfing, B. Wrede, and A. Cangelosi, “Alignment to the Actions of a Robot,” International Journal of Social Robotics, vol. 7, no. 2, pp. 241–252, 2015, doi: 10.1007/s12369-014-0252-0.","short":"A.-L. Vollmer, K. Rohlfing, B. Wrede, A. Cangelosi, International Journal of Social Robotics 7 (2015) 241–252.","mla":"Vollmer, Anna-Lisa, et al. “Alignment to the Actions of a Robot.” International Journal of Social Robotics, vol. 7, no. 2, Springer-Verlag, 2015, pp. 241–52, doi:10.1007/s12369-014-0252-0.","bibtex":"@article{Vollmer_Rohlfing_Wrede_Cangelosi_2015, title={Alignment to the Actions of a Robot}, volume={7}, DOI={10.1007/s12369-014-0252-0}, number={2}, journal={International Journal of Social Robotics}, publisher={Springer-Verlag}, author={Vollmer, Anna-Lisa and Rohlfing, Katharina and Wrede, Britta and Cangelosi, Angelo}, year={2015}, pages={241–252} }","apa":"Vollmer, A.-L., Rohlfing, K., Wrede, B., & Cangelosi, A. (2015). Alignment to the Actions of a Robot. International Journal of Social Robotics, 7(2), 241–252. https://doi.org/10.1007/s12369-014-0252-0","ama":"Vollmer A-L, Rohlfing K, Wrede B, Cangelosi A. Alignment to the Actions of a Robot. International Journal of Social Robotics. 2015;7(2):241-252. doi:10.1007/s12369-014-0252-0","chicago":"Vollmer, Anna-Lisa, Katharina Rohlfing, Britta Wrede, and Angelo Cangelosi. “Alignment to the Actions of a Robot.” International Journal of Social Robotics 7, no. 2 (2015): 241–52. https://doi.org/10.1007/s12369-014-0252-0."},"year":"2015","page":"241-252","intvolume":" 7","_id":"17189","issue":"2","publisher":"Springer-Verlag","author":[{"full_name":"Vollmer, Anna-Lisa","first_name":"Anna-Lisa","last_name":"Vollmer"},{"id":"50352","last_name":"Rohlfing","full_name":"Rohlfing, Katharina","first_name":"Katharina"},{"full_name":"Wrede, Britta","first_name":"Britta","last_name":"Wrede"},{"full_name":"Cangelosi, Angelo","first_name":"Angelo","last_name":"Cangelosi"}],"publication":"International Journal of Social Robotics","keyword":["learning","Human-robot interaction","Alignment","Robot social","Action understanding"],"status":"public","date_created":"2020-06-24T13:01:06Z","volume":7,"abstract":[{"lang":"eng","text":"Alignment is a phenomenon observed in human conversation: Dialog partners' behavior converges in many respects. Such alignment has been proposed to be automatic and the basis for communicating successfully. Recent research on human-computer dialog promotes a mediated communicative design account of alignment according to which the extent of alignment is influenced by interlocutors' beliefs about each other. Our work aims at adding to these findings in two ways. (a) Our work investigates alignment of manual actions, instead of lexical choice. (b) Participants interact with the iCub humanoid robot, instead of an artificial computer dialog system. Our results confirm that alignment also takes place in the domain of actions. We were not able to replicate the results of the original study in general in this setting, but in accordance with its findings, participants with a high questionnaire score for emotional stability and participants who are familiar with robots align their actions more to a robot they believe to be basic than to one they believe to be advanced. Regarding alignment over the course of an interaction, the extent of alignment seems to remain constant, when participants believe the robot to be advanced, but it increases over time, when participants believe the robot to be a basic version."}],"user_id":"14931","language":[{"iso":"eng"}],"date_updated":"2023-02-01T16:07:40Z","doi":"10.1007/s12369-014-0252-0","department":[{"_id":"749"}],"publication_identifier":{"issn":["1875-4791"]},"title":"Alignment to the Actions of a Robot"},{"language":[{"iso":"eng"}],"date_updated":"2024-03-21T14:43:34Z","department":[{"_id":"208"},{"_id":"282"}],"publication_identifier":{"issn":["1041-6080"]},"title":"On the assessment of attitudes towards studying—development and validation of a questionnaire","page":"233 - 242","year":"2015","citation":{"ieee":"T. Brahm and T. Jenert, “On the assessment of attitudes towards studying—development and validation of a questionnaire,” Learning and individual differences : journal of psychology and education, vol. 43, pp. 233–242, 2015.","short":"T. Brahm, T. Jenert, Learning and Individual Differences : Journal of Psychology and Education 43 (2015) 233–242.","mla":"Brahm, Taiga, and Tobias Jenert. “On the Assessment of Attitudes towards Studying—Development and Validation of a Questionnaire.” Learning and Individual Differences : Journal of Psychology and Education, vol. 43, Elsevier, 2015, pp. 233–42.","bibtex":"@article{Brahm_Jenert_2015, title={On the assessment of attitudes towards studying—development and validation of a questionnaire}, volume={43}, journal={Learning and individual differences : journal of psychology and education}, publisher={Elsevier}, author={Brahm, Taiga and Jenert, Tobias}, year={2015}, pages={233–242} }","ama":"Brahm T, Jenert T. On the assessment of attitudes towards studying—development and validation of a questionnaire. Learning and individual differences : journal of psychology and education. 2015;43:233-242.","apa":"Brahm, T., & Jenert, T. (2015). On the assessment of attitudes towards studying—development and validation of a questionnaire. Learning and Individual Differences : Journal of Psychology and Education, 43, 233–242.","chicago":"Brahm, Taiga, and Tobias Jenert. “On the Assessment of Attitudes towards Studying—Development and Validation of a Questionnaire.” Learning and Individual Differences : Journal of Psychology and Education 43 (2015): 233–42."},"type":"journal_article","_id":"4423","intvolume":" 43","keyword":["Attitude","Student learning","Higher Education Institution","university","student experience"],"publication":"Learning and individual differences : journal of psychology and education","publisher":"Elsevier","author":[{"full_name":"Brahm, Taiga","first_name":"Taiga","last_name":"Brahm"},{"first_name":"Tobias","orcid":" https://orcid.org/0000-0001-9262-5646","full_name":"Jenert, Tobias","last_name":"Jenert","id":"71994"}],"quality_controlled":"1","date_created":"2018-09-18T09:07:26Z","status":"public","volume":43,"abstract":[{"lang":"eng","text":"This research aims to develop and validate an instrument for the assessment of attitudes towards two particular objects: the Higher Education Institution (HEI) and the process of studying. Investigating attitudes towards studying at a HEI in a comprehensive way addresses an important research gap. It connects students' perception of the institution with teaching and learning. To validate the Assessment of Students' Attitudes towards Studying (ASAtS) Questionnaire, data was gathered at three different universities in Switzerland (820 students), Sweden (167) and Germany (133). Overall, the results show the internal consistency of the ASAtS. Its nomological validity is also supported by correlations with other constructs, such as intrinsic motivation and study performance. The ASAtS contributes to the theory on students learning by broadening the scope of research beyond learning in a narrow sense. From a practical point of view, it provides a tool for HE management to monitor students' perception of their HEI."}],"extern":"1","user_id":"71994"},{"date_created":"2018-10-12T08:30:44Z","status":"public","publication_identifier":{"issn":["03601315"],"isbn":["0360-1315"]},"keyword":["Augmented reality","Cognitive theory of multimedia learning","Field experiment","Informal learning","Museum"],"publication":"Computers and Education","author":[{"last_name":"Sommerauer","first_name":"Peter","full_name":"Sommerauer, Peter"},{"first_name":"Oliver","full_name":"Müller, Oliver","last_name":"Müller"}],"user_id":"72849","title":"Augmented reality in informal learning environments: A field experiment in a mathematics exhibition","extern":"1","language":[{"iso":"eng"}],"page":"59--68","citation":{"ieee":"P. Sommerauer and O. Müller, “Augmented reality in informal learning environments: A field experiment in a mathematics exhibition,” Computers and Education, pp. 59--68, 2014.","short":"P. Sommerauer, O. Müller, Computers and Education (2014) 59--68.","mla":"Sommerauer, Peter, and Oliver Müller. “Augmented Reality in Informal Learning Environments: A Field Experiment in a Mathematics Exhibition.” Computers and Education, 2014, pp. 59--68, doi:10.1016/j.compedu.2014.07.013.","bibtex":"@article{Sommerauer_Müller_2014, title={Augmented reality in informal learning environments: A field experiment in a mathematics exhibition}, DOI={10.1016/j.compedu.2014.07.013}, journal={Computers and Education}, author={Sommerauer, Peter and Müller, Oliver}, year={2014}, pages={59--68} }","chicago":"Sommerauer, Peter, and Oliver Müller. “Augmented Reality in Informal Learning Environments: A Field Experiment in a Mathematics Exhibition.” Computers and Education, 2014, 59--68. https://doi.org/10.1016/j.compedu.2014.07.013.","ama":"Sommerauer P, Müller O. Augmented reality in informal learning environments: A field experiment in a mathematics exhibition. Computers and Education. 2014:59--68. doi:10.1016/j.compedu.2014.07.013","apa":"Sommerauer, P., & Müller, O. (2014). Augmented reality in informal learning environments: A field experiment in a mathematics exhibition. Computers and Education, 59--68. https://doi.org/10.1016/j.compedu.2014.07.013"},"type":"journal_article","year":"2014","doi":"10.1016/j.compedu.2014.07.013","date_updated":"2022-01-06T07:01:18Z","_id":"4697"},{"date_created":"2020-06-24T13:01:17Z","status":"public","volume":15,"keyword":["conversation analysis","interactional coordination","adult-child-interaction","feedback","gaze","quantification","social learning","motionese","tutoring"],"publication":"Interaction Studies","publisher":"John Benjamins Publishing Company","author":[{"last_name":"Pitsch","full_name":"Pitsch, Karola","first_name":"Karola"},{"first_name":"Anna-Lisa","full_name":"Vollmer, Anna-Lisa","last_name":"Vollmer"},{"first_name":"Katharina","full_name":"Rohlfing, Katharina","last_name":"Rohlfing","id":"50352"},{"last_name":"Fritsch","first_name":"Jannik","full_name":"Fritsch, Jannik"},{"last_name":"Wrede","full_name":"Wrede, Britta","first_name":"Britta"}],"user_id":"14931","abstract":[{"lang":"eng","text":"Research of tutoring in parent-infant interaction has shown that tutors - when presenting some action - modify both their verbal and manual performance for the learner (‘motherese’, ‘motionese’). Investigating the sources and effects of the tutors’ action modifications, we suggest an interactional account of ‘motionese’. Using video-data from a semi-experimental study in which parents taught their 8 to 11 month old infants how to nest a set of differently sized cups, we found that the tutors’ action modifications (in particular: high arches) functioned as an orienting device to guide the infant’s visual attention (gaze). Action modification and the recipient’s gaze can be seen to have a reciprocal sequential relationship and to constitute a constant loop of mutual adjustments. Implications are discussed for developmental research and for robotic ‘Social Learning’. We argue that a robot system could use on-line feedback strategies (e.g. gaze) to pro-actively shape a tutor’s action presentation as it emerges."}],"page":"55-98","citation":{"chicago":"Pitsch, Karola, Anna-Lisa Vollmer, Katharina Rohlfing, Jannik Fritsch, and Britta Wrede. “Tutoring in Adult-Child-Interaction: On the Loop of the Tutor’s Action Modification and the Recipient’s Gaze.” Interaction Studies 15, no. 1 (2014): 55–98. https://doi.org/10.1075/is.15.1.03pit.","ama":"Pitsch K, Vollmer A-L, Rohlfing K, Fritsch J, Wrede B. Tutoring in adult-child-interaction: On the loop of the tutor’s action modification and the recipient’s gaze. Interaction Studies. 2014;15(1):55-98. doi:10.1075/is.15.1.03pit","apa":"Pitsch, K., Vollmer, A.-L., Rohlfing, K., Fritsch, J., & Wrede, B. (2014). Tutoring in adult-child-interaction: On the loop of the tutor’s action modification and the recipient’s gaze. Interaction Studies, 15(1), 55–98. https://doi.org/10.1075/is.15.1.03pit","mla":"Pitsch, Karola, et al. “Tutoring in Adult-Child-Interaction: On the Loop of the Tutor’s Action Modification and the Recipient’s Gaze.” Interaction Studies, vol. 15, no. 1, John Benjamins Publishing Company, 2014, pp. 55–98, doi:10.1075/is.15.1.03pit.","bibtex":"@article{Pitsch_Vollmer_Rohlfing_Fritsch_Wrede_2014, title={Tutoring in adult-child-interaction: On the loop of the tutor’s action modification and the recipient’s gaze}, volume={15}, DOI={10.1075/is.15.1.03pit}, number={1}, journal={Interaction Studies}, publisher={John Benjamins Publishing Company}, author={Pitsch, Karola and Vollmer, Anna-Lisa and Rohlfing, Katharina and Fritsch, Jannik and Wrede, Britta}, year={2014}, pages={55–98} }","short":"K. Pitsch, A.-L. Vollmer, K. Rohlfing, J. Fritsch, B. Wrede, Interaction Studies 15 (2014) 55–98.","ieee":"K. Pitsch, A.-L. Vollmer, K. Rohlfing, J. Fritsch, and B. Wrede, “Tutoring in adult-child-interaction: On the loop of the tutor’s action modification and the recipient’s gaze,” Interaction Studies, vol. 15, no. 1, pp. 55–98, 2014, doi: 10.1075/is.15.1.03pit."},"type":"journal_article","year":"2014","issue":"1","intvolume":" 15","_id":"17199","publication_identifier":{"issn":["1572-0381"]},"department":[{"_id":"749"}],"title":"Tutoring in adult-child-interaction: On the loop of the tutor's action modification and the recipient's gaze","language":[{"iso":"eng"}],"doi":"10.1075/is.15.1.03pit","date_updated":"2023-02-01T16:10:52Z"},{"user_id":"51057","extern":"1","abstract":[{"lang":"ger","text":"Kompetenzorientierung ist ein wichtiges aktuelles Ziel bei der Studienprogrammentwicklung. Allerdings ist die Umsetzung in der Praxis mit zwei wesentlichen Herausforderungen verbunden: So ist zum einen der Wechsel von disziplinären Inhalten hin zu Kompetenzen wenig intuitiv; zum anderen wird die Formulierung so genannter Learning Outcomes als administrative Übung betrachtet. An der Universität St. Gallen wurde ein systematischer Prozess für die Qualitätsentwicklung der Studienprogramme eingeführt. Im Beitrag wird dieser Prozess im Hinblick auf die Kompetenzorientierung reflektiert. Es erscheint wesentlich, den Programmen möglichst viel Freiraum auf ihrem Weg zur Kompetenzorientierung zu überlassen und sie auf diese Weise zu unterstützen."}],"volume":8,"status":"public","date_created":"2018-09-18T09:17:20Z","author":[{"full_name":"Brahm, Taiga","first_name":"Taiga","last_name":"Brahm"},{"last_name":"Jenert","first_name":"Tobias","full_name":"Jenert, Tobias"}],"publisher":"Österreichische Gesellschaft für Hochschuldidaktik","keyword":["Kompetenzorientierung","Studienprogrammentwicklung","Hochschulentwicklung","Hochschule","Learning Outcomes"],"publication":"Zeitschrift für Hochschulentwicklung","issue":"1","intvolume":" 8","_id":"4427","citation":{"apa":"Brahm, T., & Jenert, T. (2013). Herausforderungen der Kompetenzorientierung in der Studienprogrammentwicklung. Zeitschrift Für Hochschulentwicklung, 8(1), 7–14.","ama":"Brahm T, Jenert T. Herausforderungen der Kompetenzorientierung in der Studienprogrammentwicklung. Zeitschrift für Hochschulentwicklung. 2013;8(1):7-14.","chicago":"Brahm, Taiga, and Tobias Jenert. “Herausforderungen Der Kompetenzorientierung in Der Studienprogrammentwicklung.” Zeitschrift Für Hochschulentwicklung 8, no. 1 (2013): 7–14.","mla":"Brahm, Taiga, and Tobias Jenert. “Herausforderungen Der Kompetenzorientierung in Der Studienprogrammentwicklung.” Zeitschrift Für Hochschulentwicklung, vol. 8, no. 1, Österreichische Gesellschaft für Hochschuldidaktik, 2013, pp. 7–14.","bibtex":"@article{Brahm_Jenert_2013, title={Herausforderungen der Kompetenzorientierung in der Studienprogrammentwicklung}, volume={8}, number={1}, journal={Zeitschrift für Hochschulentwicklung}, publisher={Österreichische Gesellschaft für Hochschuldidaktik}, author={Brahm, Taiga and Jenert, Tobias}, year={2013}, pages={7–14} }","short":"T. Brahm, T. Jenert, Zeitschrift Für Hochschulentwicklung 8 (2013) 7–14.","ieee":"T. Brahm and T. Jenert, “Herausforderungen der Kompetenzorientierung in der Studienprogrammentwicklung,” Zeitschrift für Hochschulentwicklung, vol. 8, no. 1, pp. 7–14, 2013."},"type":"journal_article","year":"2013","page":"7-14","title":"Herausforderungen der Kompetenzorientierung in der Studienprogrammentwicklung","publication_identifier":{"eissn":["2219-6994"]},"department":[{"_id":"208"},{"_id":"282"}],"date_updated":"2022-01-06T07:01:03Z"},{"conference":{"start_date":"2013-08-27","name":"15th Biennial EARLI Conference","location":"München ","end_date":"2013-08-31"},"date_updated":"2022-01-06T07:01:06Z","_id":"4478","citation":{"mla":"Brahm, Taiga, et al. On the Assessment of Attitudes towards the Study Process and the University: Attitudes towards the Study Environment Questionnaire (ASEQ). EARLI European Association for Research on Learning and Instruction, 2013.","bibtex":"@inproceedings{Brahm_Jenert_Euler_2013, title={On the assessment of attitudes towards the study process and the university: Attitudes towards the Study Environment Questionnaire (ASEQ)}, publisher={EARLI European Association for Research on Learning and Instruction}, author={Brahm, Taiga and Jenert, Tobias and Euler, Dieter}, year={2013} }","chicago":"Brahm, Taiga, Tobias Jenert, and Dieter Euler. “On the Assessment of Attitudes towards the Study Process and the University: Attitudes towards the Study Environment Questionnaire (ASEQ).” EARLI European Association for Research on Learning and Instruction, 2013.","ama":"Brahm T, Jenert T, Euler D. On the assessment of attitudes towards the study process and the university: Attitudes towards the Study Environment Questionnaire (ASEQ). In: EARLI European Association for Research on Learning and Instruction; 2013.","apa":"Brahm, T., Jenert, T., & Euler, D. (2013). On the assessment of attitudes towards the study process and the university: Attitudes towards the Study Environment Questionnaire (ASEQ). Presented at the 15th Biennial EARLI Conference, München : EARLI European Association for Research on Learning and Instruction.","ieee":"T. Brahm, T. Jenert, and D. Euler, “On the assessment of attitudes towards the study process and the university: Attitudes towards the Study Environment Questionnaire (ASEQ),” presented at the 15th Biennial EARLI Conference, München , 2013.","short":"T. Brahm, T. Jenert, D. Euler, in: EARLI European Association for Research on Learning and Instruction, 2013."},"type":"conference","year":"2013","extern":"1","abstract":[{"text":"The purpose of the research was to develop and validate an instrument for the assessment of attitudes towards the study environment in higher education contexts. The questionnaire is designed to measure students' attitudes towards two particular objects: the university (or Higher Education Institution) and the process of studying. Five studies at two different universities were conducted to develop and validate the Attitudes towards the Study Environment Questionnaire (ASEQ). In total, 1640 students filled in the questionnaire. Reliability tests and exploratory factor analysis as well as confirmatory factor analysis showed satisfactory psychometric characteristics of the ASEQ. Each part of the questionnaire is internally consistent and construct validity of the scales is supported by correlations with other constructs as assumed by current theories: Positive attitudinal constructs (normative behavior, autonomy, joy, self-efficacy, and task value) are positively related to intrinsic motivation and the expected study performance while anxiety is negatively related to these constructs. \r\nSince attitudes towards the study situation are connected to student engagement and motivation, the study contributes to the theory of student learning by providing a validated instrument to assess attitudes. Thus, the ASEQ can support further research on student performance and development by providing an instrument for the hitherto neglected but nonetheless extremely relevant domain of attitudes. Also, the questionnaire can be used as a diagnostic instrument for higher education faculty and administration to trace students' attitudinal development over time - a factor of prime importance for student socialization during the introductory phase of studying.","lang":"eng"}],"title":"On the assessment of attitudes towards the study process and the university: Attitudes towards the Study Environment Questionnaire (ASEQ)","user_id":"51057","keyword":["attitudes","teaching and learning","studying","higher education institution","theory of planned behavior","instrument development"],"department":[{"_id":"208"},{"_id":"282"}],"publisher":"EARLI European Association for Research on Learning and Instruction","author":[{"last_name":"Brahm","full_name":"Brahm, Taiga","first_name":"Taiga"},{"last_name":"Jenert","id":"71994","first_name":"Tobias","full_name":"Jenert, Tobias","orcid":" https://orcid.org/0000-0001-9262-5646"},{"last_name":"Euler","first_name":"Dieter","full_name":"Euler, Dieter"}],"date_created":"2018-09-19T08:22:51Z","status":"public"},{"abstract":[{"text":"In a longitudinal naturalistic study, we observed German mothers interacting with their infants when they were 3 and 6 months old. Pursuing the idea that infants’ attention is socialized in everyday interactions, we explored whether eye contact is reinforced selectively by behavioral modification in the input provided to infants. Applying a microanalytical approach focusing on the sequential organization of interaction, we explored how the mother draws the infant’s attention to herself and how she tries to maintain attention when the infant is looking at her. Results showed that eye contact is reinforced by specific infant-directed practices: interrogatives and conversational openings, multimodal stimulation, repetition, and imitation. In addition, these practices are contingent on the infant’s own behavior. By comparing the two data points (3 and 6 months), we showed how the education of attention evolves hand-in-hand with the developing capacities of the infant.","lang":"eng"}],"user_id":"14931","keyword":["interactional adaptation","multimodal input","social learning","ecology of attention","eye contact"],"publication":"Interaction Studies","author":[{"last_name":"Nomikou","first_name":"Iris","full_name":"Nomikou, Iris"},{"last_name":"Rohlfing","id":"50352","first_name":"Katharina","full_name":"Rohlfing, Katharina"},{"last_name":"Szufnarowska","first_name":"Joanna","full_name":"Szufnarowska, Joanna"}],"publisher":"John Benjamins Publishing Company","date_created":"2020-06-24T13:01:23Z","status":"public","volume":14,"_id":"17204","intvolume":" 14","issue":"2","page":"240-267","year":"2013","citation":{"mla":"Nomikou, Iris, et al. “Educating Attention: Recruiting, Maintaining, and Framing Eye Contact in Early Natural Mother-Infant Interactions.” Interaction Studies, vol. 14, no. 2, John Benjamins Publishing Company, 2013, pp. 240–67, doi:10.1075/is.14.2.05nom.","bibtex":"@article{Nomikou_Rohlfing_Szufnarowska_2013, title={Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions}, volume={14}, DOI={10.1075/is.14.2.05nom}, number={2}, journal={Interaction Studies}, publisher={John Benjamins Publishing Company}, author={Nomikou, Iris and Rohlfing, Katharina and Szufnarowska, Joanna}, year={2013}, pages={240–267} }","chicago":"Nomikou, Iris, Katharina Rohlfing, and Joanna Szufnarowska. “Educating Attention: Recruiting, Maintaining, and Framing Eye Contact in Early Natural Mother-Infant Interactions.” Interaction Studies 14, no. 2 (2013): 240–67. https://doi.org/10.1075/is.14.2.05nom.","ama":"Nomikou I, Rohlfing K, Szufnarowska J. Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions. Interaction Studies. 2013;14(2):240-267. doi:10.1075/is.14.2.05nom","apa":"Nomikou, I., Rohlfing, K., & Szufnarowska, J. (2013). Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions. Interaction Studies, 14(2), 240–267. https://doi.org/10.1075/is.14.2.05nom","ieee":"I. Nomikou, K. Rohlfing, and J. Szufnarowska, “Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions,” Interaction Studies, vol. 14, no. 2, pp. 240–267, 2013, doi: 10.1075/is.14.2.05nom.","short":"I. Nomikou, K. Rohlfing, J. Szufnarowska, Interaction Studies 14 (2013) 240–267."},"type":"journal_article","title":"Educating attention: recruiting, maintaining, and framing eye contact in early natural mother-infant interactions","department":[{"_id":"749"}],"publication_identifier":{"issn":["1572-0381"]},"date_updated":"2023-02-01T16:12:50Z","doi":"10.1075/is.14.2.05nom","language":[{"iso":"eng"}]},{"_id":"24036","date_updated":"2022-01-06T06:56:06Z","language":[{"iso":"eng"}],"year":"2012","citation":{"ieee":"J. Pottebaum, Optimierung des einsatzbezogenen Lernens durch Wissensidentifikation. Münster: Monsenstein und Vannerdat, 2012.","short":"J. Pottebaum, Optimierung Des Einsatzbezogenen Lernens Durch Wissensidentifikation, Monsenstein und Vannerdat, Münster, 2012.","mla":"Pottebaum, Jens. Optimierung Des Einsatzbezogenen Lernens Durch Wissensidentifikation. Monsenstein und Vannerdat, 2012.","bibtex":"@book{Pottebaum_2012, place={Münster}, title={Optimierung des einsatzbezogenen Lernens durch Wissensidentifikation}, publisher={Monsenstein und Vannerdat}, author={Pottebaum, Jens}, year={2012} }","chicago":"Pottebaum, Jens. Optimierung Des Einsatzbezogenen Lernens Durch Wissensidentifikation. Münster: Monsenstein und Vannerdat, 2012.","apa":"Pottebaum, J. (2012). Optimierung des einsatzbezogenen Lernens durch Wissensidentifikation. Monsenstein und Vannerdat.","ama":"Pottebaum J. Optimierung Des Einsatzbezogenen Lernens Durch Wissensidentifikation. Monsenstein und Vannerdat; 2012."},"type":"dissertation","user_id":"405","title":"Optimierung des einsatzbezogenen Lernens durch Wissensidentifikation","place":"Münster","status":"public","date_created":"2021-09-09T12:18:36Z","publication_identifier":{"isbn":["3-86991-525-0"]},"publisher":"Monsenstein und Vannerdat","author":[{"last_name":"Pottebaum","id":"405","first_name":"Jens","full_name":"Pottebaum, Jens","orcid":"http://orcid.org/0000-0001-8778-2989"}],"keyword":["Arbeitsorganisation","E-Learning","Lernorganisation","Lerntechnik","Wissensmanagement"]},{"issue":"41","_id":"4429","intvolume":" 4","page":"10-13","type":"journal_article","year":"2012","citation":{"apa":"Seufert, S., Jenert, T., & Kuhn-Senn, A. (2012). Didaktische Potenziale des Mobile Learning für die Berufsbildung: Erfahrungen aus einem Pilotprojekt am Center for Young Professionals in Banking in der Schweiz. Berufsbildung in Wissenschaft Und Praxis, 4(41), 10–13.","ama":"Seufert S, Jenert T, Kuhn-Senn A. Didaktische Potenziale des Mobile Learning für die Berufsbildung: Erfahrungen aus einem Pilotprojekt am Center for Young Professionals in Banking in der Schweiz. Berufsbildung in Wissenschaft und Praxis. 2012;4(41):10-13.","chicago":"Seufert, Sabine, Tobias Jenert, and Andrea Kuhn-Senn. “Didaktische Potenziale Des Mobile Learning Für Die Berufsbildung: Erfahrungen Aus Einem Pilotprojekt Am Center for Young Professionals in Banking in Der Schweiz.” Berufsbildung in Wissenschaft Und Praxis 4, no. 41 (2012): 10–13.","mla":"Seufert, Sabine, et al. “Didaktische Potenziale Des Mobile Learning Für Die Berufsbildung: Erfahrungen Aus Einem Pilotprojekt Am Center for Young Professionals in Banking in Der Schweiz.” Berufsbildung in Wissenschaft Und Praxis, vol. 4, no. 41, Bertelsmann Verlag, 2012, pp. 10–13.","bibtex":"@article{Seufert_Jenert_Kuhn-Senn_2012, title={Didaktische Potenziale des Mobile Learning für die Berufsbildung: Erfahrungen aus einem Pilotprojekt am Center for Young Professionals in Banking in der Schweiz}, volume={4}, number={41}, journal={Berufsbildung in Wissenschaft und Praxis}, publisher={Bertelsmann Verlag}, author={Seufert, Sabine and Jenert, Tobias and Kuhn-Senn, Andrea}, year={2012}, pages={10–13} }","short":"S. Seufert, T. Jenert, A. Kuhn-Senn, Berufsbildung in Wissenschaft Und Praxis 4 (2012) 10–13.","ieee":"S. Seufert, T. Jenert, and A. Kuhn-Senn, “Didaktische Potenziale des Mobile Learning für die Berufsbildung: Erfahrungen aus einem Pilotprojekt am Center for Young Professionals in Banking in der Schweiz,” Berufsbildung in Wissenschaft und Praxis, vol. 4, no. 41, pp. 10–13, 2012."},"user_id":"51057","extern":"1","abstract":[{"lang":"ger","text":"Mobile Learning liegt in der beruflichen Bildung seit dem Aufkommen von Smartphones, Tablet-PCs1 und speziell entwickelten Applikationen (Mobile Apps) im Trend. Ziel des Beitrags ist es, die didaktischen Potenziale des Mobile Learning durch den Einsatz von Tablet-PCs in der beruflichen Ausbildung zu untersuchen. Als Ausgangspunkt dient dabei das Fallbeispiel des Center for Young Professionals in Banking in der Schweiz, das im Jahr 2011 eine umfassende Pilotstudie durchgeführt hat. Ausgehend vom konkreten Fall werden anschliessend die Potenziale für medienbezogene Kompetenzen sowie eine \"didaktische Landkarte\" zur Verortung von Mobile-Learning-Szenarien eingeführt, um die verschiedenen pädagogischen Leitvorstellungen dieser Szenarien aufzuzeigen."}],"volume":4,"date_created":"2018-09-18T09:22:05Z","status":"public","publication":"Berufsbildung in Wissenschaft und Praxis","keyword":["mobile learning","tablets","tablet learning","mobile technologies","elearning","TEL"],"publisher":"Bertelsmann Verlag","author":[{"last_name":"Seufert","first_name":"Sabine","full_name":"Seufert, Sabine"},{"last_name":"Jenert","id":"71994","first_name":"Tobias","orcid":" https://orcid.org/0000-0001-9262-5646","full_name":"Jenert, Tobias"},{"first_name":"Andrea","full_name":"Kuhn-Senn, Andrea","last_name":"Kuhn-Senn"}],"date_updated":"2022-01-06T07:01:03Z","title":"Didaktische Potenziale des Mobile Learning für die Berufsbildung: Erfahrungen aus einem Pilotprojekt am Center for Young Professionals in Banking in der Schweiz","publication_identifier":{"issn":["0341-4515"]},"department":[{"_id":"208"},{"_id":"282"}]},{"author":[{"last_name":"Gebhardt","full_name":"Gebhardt, Anja","first_name":"Anja"},{"first_name":"Tobias","orcid":" https://orcid.org/0000-0001-9262-5646","full_name":"Jenert, Tobias","last_name":"Jenert","id":"71994"}],"department":[{"_id":"208"},{"_id":"282"}],"keyword":["learning culture","social interaction"],"status":"public","date_created":"2018-09-19T08:44:40Z","extern":"1","title":"How to Assess and Study the Cultural Dimension of Social Interactions in Higher Education Institutions (HEI)","user_id":"51057","type":"conference","citation":{"short":"A. Gebhardt, T. Jenert, in: 2012.","ieee":"A. Gebhardt and T. Jenert, “How to Assess and Study the Cultural Dimension of Social Interactions in Higher Education Institutions (HEI),” presented at the earli SIG 10 & 21 “Social Interaction in Learning and Instruction” and “Learning and Teaching in Culturally Diverse Settings”: Patchwork: Learning diversities, Belgrad, Serbien , 2012.","apa":"Gebhardt, A., & Jenert, T. (2012). How to Assess and Study the Cultural Dimension of Social Interactions in Higher Education Institutions (HEI). Presented at the earli SIG 10 & 21 “Social Interaction in Learning and Instruction” and “Learning and Teaching in Culturally Diverse Settings”: Patchwork: Learning diversities, Belgrad, Serbien .","ama":"Gebhardt A, Jenert T. How to Assess and Study the Cultural Dimension of Social Interactions in Higher Education Institutions (HEI). In: ; 2012.","chicago":"Gebhardt, Anja, and Tobias Jenert. “How to Assess and Study the Cultural Dimension of Social Interactions in Higher Education Institutions (HEI),” 2012.","mla":"Gebhardt, Anja, and Tobias Jenert. How to Assess and Study the Cultural Dimension of Social Interactions in Higher Education Institutions (HEI). 2012.","bibtex":"@inproceedings{Gebhardt_Jenert_2012, title={How to Assess and Study the Cultural Dimension of Social Interactions in Higher Education Institutions (HEI)}, author={Gebhardt, Anja and Jenert, Tobias}, year={2012} }"},"year":"2012","date_updated":"2022-01-06T07:01:06Z","_id":"4486","conference":{"name":"earli SIG 10 & 21 \"Social Interaction in Learning and Instruction\" and \"Learning and Teaching in Culturally Diverse Settings\": Patchwork: Learning diversities","location":"Belgrad, Serbien "}},{"publication_identifier":{"isbn":["9781450311779"]},"department":[{"_id":"34"},{"_id":"819"}],"title":"Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning","place":"New York, NY, USA","language":[{"iso":"eng"}],"series_title":"GECCO ’12","doi":"10.1145/2330163.2330209","date_updated":"2023-10-16T13:48:48Z","date_created":"2023-08-04T15:51:56Z","status":"public","publication":"Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation","keyword":["machine learning","exploratory landscape analysis","fitness landscape","benchmarking","evolutionary optimization","bbob test set","algorithm selection"],"publisher":"Association for Computing Machinery","author":[{"first_name":"Bernd","full_name":"Bischl, Bernd","last_name":"Bischl"},{"full_name":"Mersmann, Olaf","first_name":"Olaf","last_name":"Mersmann"},{"last_name":"Trautmann","id":"100740","first_name":"Heike","orcid":"0000-0002-9788-8282","full_name":"Trautmann, Heike"},{"first_name":"Mike","full_name":"Preuß, Mike","last_name":"Preuß"}],"user_id":"15504","abstract":[{"text":"The steady supply of new optimization methods makes the algorithm selection problem (ASP) an increasingly pressing and challenging task, specially for real-world black-box optimization problems. The introduced approach considers the ASP as a cost-sensitive classification task which is based on Exploratory Landscape Analysis. Low-level features gathered by systematic sampling of the function on the feasible set are used to predict a well-performing algorithm out of a given portfolio. Example-specific label costs are defined by the expected runtime of each candidate algorithm. We use one-sided support vector regression to solve this learning problem. The approach is illustrated by means of the optimization problems and algorithms of the BBOB’09/10 workshop.","lang":"eng"}],"page":"313–320","citation":{"ama":"Bischl B, Mersmann O, Trautmann H, Preuß M. Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning. In: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation. GECCO ’12. Association for Computing Machinery; 2012:313–320. doi:10.1145/2330163.2330209","apa":"Bischl, B., Mersmann, O., Trautmann, H., & Preuß, M. (2012). Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning. Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 313–320. https://doi.org/10.1145/2330163.2330209","chicago":"Bischl, Bernd, Olaf Mersmann, Heike Trautmann, and Mike Preuß. “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning.” In Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 313–320. GECCO ’12. New York, NY, USA: Association for Computing Machinery, 2012. https://doi.org/10.1145/2330163.2330209.","mla":"Bischl, Bernd, et al. “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning.” Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, 2012, pp. 313–320, doi:10.1145/2330163.2330209.","bibtex":"@inproceedings{Bischl_Mersmann_Trautmann_Preuß_2012, place={New York, NY, USA}, series={GECCO ’12}, title={Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning}, DOI={10.1145/2330163.2330209}, booktitle={Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation}, publisher={Association for Computing Machinery}, author={Bischl, Bernd and Mersmann, Olaf and Trautmann, Heike and Preuß, Mike}, year={2012}, pages={313–320}, collection={GECCO ’12} }","short":"B. Bischl, O. Mersmann, H. Trautmann, M. Preuß, in: Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, Association for Computing Machinery, New York, NY, USA, 2012, pp. 313–320.","ieee":"B. Bischl, O. Mersmann, H. Trautmann, and M. Preuß, “Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning,” in Proceedings of the 14th Annual Conference on Genetic and Evolutionary Computation, 2012, pp. 313–320, doi: 10.1145/2330163.2330209."},"year":"2012","type":"conference","_id":"46396"},{"extern":"1","abstract":[{"lang":"ger","text":"Eine zentrale Herausforderung in der Ausbildung angehender Wirtschaftslehrpersonen stellt die sinnvolle Verknüpfung von Theorie- und Praxiserfahrungen dar. Im Rahmen der Ausbildung angehender Wirtschaftslehrpersonen an der Universität St. Gallen wird eine Lernumgebung gestaltet, die eine Verschränkung von Theorie- und Praxiserfahrungen ermöglichen soll. Die Lernprozesse der Studierenden werden dabei durch didaktisch angeleitete Weblogarbeit unterstützt. Trotz der Lernchancen, die sich aus einer Verknüpfung von theoretischen und praktischen Lernphasen ergeben, schätzen die Studierenden den Nutzen der Weblogarbeit als äusserst gering ein. Die Studierenden bei der reflexiven Integration praxisnaher und theoretischer Lernerfahrungen zu unterstützen, ist eine Herausforderung, die dezidierter Anleitung und Förderung durch die Lehrpersonen bedarf"}],"user_id":"51057","keyword":["Weblog","Blog","e-learning","TEL","higher education","business education"],"publication":"Zeitschrift für E-Learning","author":[{"last_name":"Jenert","full_name":"Jenert, Tobias","first_name":"Tobias"},{"last_name":"Gebhardt","first_name":"Anja","full_name":"Gebhardt, Anja"},{"full_name":"Käser, Reto","first_name":"Reto","last_name":"Käser"}],"publisher":"Studien-Verlag","volume":6,"date_created":"2018-09-18T09:23:54Z","status":"public","_id":"4430","intvolume":" 6","issue":"2","page":"17-29","type":"journal_article","year":"2011","citation":{"ieee":"T. Jenert, A. Gebhardt, and R. Käser, “Weblogs zur Unterstützung der Theorie-Praxis-Integration in der Wirtschaftslehrenden-Ausbildung,” Zeitschrift für E-Learning, vol. 6, no. 2, pp. 17–29, 2011.","short":"T. Jenert, A. Gebhardt, R. Käser, Zeitschrift Für E-Learning 6 (2011) 17–29.","bibtex":"@article{Jenert_Gebhardt_Käser_2011, title={Weblogs zur Unterstützung der Theorie-Praxis-Integration in der Wirtschaftslehrenden-Ausbildung}, volume={6}, number={2}, journal={Zeitschrift für E-Learning}, publisher={Studien-Verlag}, author={Jenert, Tobias and Gebhardt, Anja and Käser, Reto}, year={2011}, pages={17–29} }","mla":"Jenert, Tobias, et al. “Weblogs Zur Unterstützung Der Theorie-Praxis-Integration in Der Wirtschaftslehrenden-Ausbildung.” Zeitschrift Für E-Learning, vol. 6, no. 2, Studien-Verlag, 2011, pp. 17–29.","chicago":"Jenert, Tobias, Anja Gebhardt, and Reto Käser. “Weblogs Zur Unterstützung Der Theorie-Praxis-Integration in Der Wirtschaftslehrenden-Ausbildung.” Zeitschrift Für E-Learning 6, no. 2 (2011): 17–29.","apa":"Jenert, T., Gebhardt, A., & Käser, R. (2011). Weblogs zur Unterstützung der Theorie-Praxis-Integration in der Wirtschaftslehrenden-Ausbildung. Zeitschrift Für E-Learning, 6(2), 17–29.","ama":"Jenert T, Gebhardt A, Käser R. Weblogs zur Unterstützung der Theorie-Praxis-Integration in der Wirtschaftslehrenden-Ausbildung. Zeitschrift für E-Learning. 2011;6(2):17-29."},"title":"Weblogs zur Unterstützung der Theorie-Praxis-Integration in der Wirtschaftslehrenden-Ausbildung","department":[{"_id":"208"},{"_id":"282"}],"publication_identifier":{"issn":["1992-9579"]},"date_updated":"2022-01-06T07:01:03Z"},{"author":[{"first_name":"Christian N. L.","full_name":"Olivers, Christian N. L.","last_name":"Olivers"},{"full_name":"Hilkenmeier, Frederic","first_name":"Frederic","last_name":"Hilkenmeier"},{"full_name":"Scharlau, Ingrid","orcid":"0000-0003-2364-9489","first_name":"Ingrid","id":"451","last_name":"Scharlau"}],"publication":"Attention, Perception, & Psychophysics","keyword":["attentional blink","order reversals","prior entry","working memory","visual attention","attentional performance","Adolescent","Adult","Attention","Attentional Blink","Color Perception","Cues","Discrimination (Psychology)","Female","Humans","Male","Memory","Short-Term","Pattern Recognition","Visual","Psychophysics","Reaction Time","Reversal Learning","Sensory Gating","Serial Learning","Young Adult","Eyeblink Reflex","Stimulus Change","Stimulus Parameters","Visual Attention","Attentional Blink","Short Term Memory"],"status":"public","date_created":"2018-12-10T07:06:31Z","volume":73,"abstract":[{"text":"When two targets are presented in rapid succession, the first target (T1) is usually identified, but the second target (T2) is often missed. A remarkable exception to this 'attentional blink' occurs when T2 immediately follows the first T1, at lag 1. It is then often spared but reported in the wrong order—that is, before T1. These order reversals have led to the hypothesis that 'lag 1 sparing' occurs because the two targets merge into a single episodic representation. Here, we report evidence consistent with an alternative theory: T2 receives more attention than T1, leading to prior entry into working memory. Two experiments showed that the more T2 performance exceeded that for T1, the more order reversals were made. Furthermore, precuing T1 led to a shift in performance benefits from T2 to T1 and to an equivalent reduction in order reversals. We conclude that it is not necessary to assume episodic integration to explain lag 1 sparing or the accompanying order reversals. (PsycINFO Dat","lang":"eng"}],"user_id":"42165","main_file_link":[{"open_access":"1","url":"https://kw.uni-paderborn.de/fileadmin/fakultaet/Institute/psychologie/Kognitive_Psychologie/Publikationen/Olivers_etal__2011__AP_PProofs.pdf"}],"funded_apc":"1","year":"2011","citation":{"short":"C.N.L. Olivers, F. Hilkenmeier, I. Scharlau, Attention, Perception, & Psychophysics 73 (2011) 53–67.","ieee":"C. N. L. Olivers, F. Hilkenmeier, and I. Scharlau, “Prior entry explains order reversals in the attentional blink.,” Attention, Perception, & Psychophysics, vol. 73, no. 1, pp. 53–67, 2011.","chicago":"Olivers, Christian N. L., Frederic Hilkenmeier, and Ingrid Scharlau. “Prior Entry Explains Order Reversals in the Attentional Blink.” Attention, Perception, & Psychophysics 73, no. 1 (2011): 53–67.","ama":"Olivers CNL, Hilkenmeier F, Scharlau I. Prior entry explains order reversals in the attentional blink. Attention, Perception, & Psychophysics. 2011;73(1):53-67.","apa":"Olivers, C. N. L., Hilkenmeier, F., & Scharlau, I. (2011). Prior entry explains order reversals in the attentional blink. Attention, Perception, & Psychophysics, 73(1), 53–67.","mla":"Olivers, Christian N. L., et al. “Prior Entry Explains Order Reversals in the Attentional Blink.” Attention, Perception, & Psychophysics, vol. 73, no. 1, 2011, pp. 53–67.","bibtex":"@article{Olivers_Hilkenmeier_Scharlau_2011, title={Prior entry explains order reversals in the attentional blink.}, volume={73}, number={1}, journal={Attention, Perception, & Psychophysics}, author={Olivers, Christian N. L. and Hilkenmeier, Frederic and Scharlau, Ingrid}, year={2011}, pages={53–67} }"},"type":"journal_article","page":"53 - 67","intvolume":" 73","_id":"6082","issue":"1","department":[{"_id":"424"}],"publication_status":"published","publication_identifier":{"issn":["1943-3921"]},"title":"Prior entry explains order reversals in the attentional blink.","language":[{"iso":"eng"}],"date_updated":"2022-06-07T00:16:50Z","oa":"1"},{"title":"Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds","publication_identifier":{"issn":["1943-0612"]},"department":[{"_id":"749"}],"doi":"10.1109/TAMD.2011.2140113","date_updated":"2023-02-01T12:54:33Z","language":[{"iso":"eng"}],"user_id":"14931","volume":3,"date_created":"2020-06-24T13:02:12Z","status":"public","publication":"IEEE Transactions on Autonomous Mental Development","keyword":["acoustic packaging","mother-child interaction","social learning","multimodal grounding in input","ecology of interactions","synchrony"],"publisher":"Institute of Electrical & Electronics Engineers (IEEE)","author":[{"last_name":"Nomikou","full_name":"Nomikou, Iris","first_name":"Iris"},{"last_name":"Rohlfing","id":"50352","first_name":"Katharina","full_name":"Rohlfing, Katharina"}],"issue":"2","intvolume":" 3","_id":"17246","page":"113-128","year":"2011","type":"journal_article","citation":{"mla":"Nomikou, Iris, and Katharina Rohlfing. “Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds.” IEEE Transactions on Autonomous Mental Development, vol. 3, no. 2, Institute of Electrical & Electronics Engineers (IEEE), 2011, pp. 113–28, doi:10.1109/TAMD.2011.2140113.","bibtex":"@article{Nomikou_Rohlfing_2011, title={Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds}, volume={3}, DOI={10.1109/TAMD.2011.2140113}, number={2}, journal={IEEE Transactions on Autonomous Mental Development}, publisher={Institute of Electrical & Electronics Engineers (IEEE)}, author={Nomikou, Iris and Rohlfing, Katharina}, year={2011}, pages={113–128} }","chicago":"Nomikou, Iris, and Katharina Rohlfing. “Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds.” IEEE Transactions on Autonomous Mental Development 3, no. 2 (2011): 113–28. https://doi.org/10.1109/TAMD.2011.2140113.","apa":"Nomikou, I., & Rohlfing, K. (2011). Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds. IEEE Transactions on Autonomous Mental Development, 3(2), 113–128. https://doi.org/10.1109/TAMD.2011.2140113","ama":"Nomikou I, Rohlfing K. Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds. IEEE Transactions on Autonomous Mental Development. 2011;3(2):113-128. doi:10.1109/TAMD.2011.2140113","ieee":"I. Nomikou and K. Rohlfing, “Language Does Something: Body Action and Language in Maternal Input to Three-Month-Olds,” IEEE Transactions on Autonomous Mental Development, vol. 3, no. 2, pp. 113–128, 2011, doi: 10.1109/TAMD.2011.2140113.","short":"I. Nomikou, K. Rohlfing, IEEE Transactions on Autonomous Mental Development 3 (2011) 113–128."}},{"year":"2010","type":"report","citation":{"mla":"Jenert, Tobias, and Anja Gebhardt. Zugänge Zum Begriff Der Lernkultur: Eine Systematisierung Auf Basis Kultur-Und Lerntheoretischer Überlegungen. 2010.","bibtex":"@book{Jenert_Gebhardt_2010, title={Zugänge zum Begriff der Lernkultur: Eine Systematisierung auf Basis kultur-und lerntheoretischer Überlegungen}, author={Jenert, Tobias and Gebhardt, Anja}, year={2010} }","chicago":"Jenert, Tobias, and Anja Gebhardt. Zugänge Zum Begriff Der Lernkultur: Eine Systematisierung Auf Basis Kultur-Und Lerntheoretischer Überlegungen, 2010.","apa":"Jenert, T., & Gebhardt, A. (2010). Zugänge zum Begriff der Lernkultur: Eine Systematisierung auf Basis kultur-und lerntheoretischer Überlegungen.","ama":"Jenert T, Gebhardt A. Zugänge Zum Begriff Der Lernkultur: Eine Systematisierung Auf Basis Kultur-Und Lerntheoretischer Überlegungen.; 2010.","ieee":"T. Jenert and A. Gebhardt, Zugänge zum Begriff der Lernkultur: Eine Systematisierung auf Basis kultur-und lerntheoretischer Überlegungen. 2010.","short":"T. Jenert, A. Gebhardt, Zugänge Zum Begriff Der Lernkultur: Eine Systematisierung Auf Basis Kultur-Und Lerntheoretischer Überlegungen, 2010."},"_id":"4448","date_updated":"2022-01-06T07:01:04Z","keyword":["Lernkultur","learning culture","culture theory","approaches to learning culture","culture of learning"],"department":[{"_id":"208"},{"_id":"282"}],"author":[{"last_name":"Jenert","first_name":"Tobias","full_name":"Jenert, Tobias"},{"first_name":"Anja","full_name":"Gebhardt, Anja","last_name":"Gebhardt"}],"date_created":"2018-09-18T11:50:40Z","status":"public","abstract":[{"lang":"ger","text":"\"Lernkultur\" wird als Begriff häufig gebraucht und fast ebenso häufig definiert das gilt für den betrieblichen Kontext ebenso wie für die Bereiche der Schul-, Hochschul-, Berufs- und Erwachsenenbildung (z. B. Wulf, Althans, Blaschke, Ferrin, Göhlich, Jörissen, Mattig et al., 2007; Jenert, Zellweger Moser, Dommen & Gebhardt, 2009; Kirchhöfer, 2004; Erpenbeck & Sauer, 2000). Trotz der grossen Aufmerksamkeit, die der Begriff in den letzten zwei Jahrzehnten erfahren hat, kann man nicht von einem in sich geschlossenen Forschungsprogramm sprechen. Die Zugänge zum Phänomenbereich Lernkultur sind ebenso vielfältig wie die hinter einzelnen Ansätzen stehenden Lernkulturkonstrukte. Den Autoren ist keine Publikation bekannt, welche unterschiedliche Ansätze der Lernkulturforschung systematisch aufarbeitet. Eine wichtige Referenzquelle ist der Bericht von Kuh und Whitt (1988) \"The Invisible Tapestry: Culture in American Colleges and Universities\". Ausgehend von einer fundierten Übersicht zu unterschiedlichen Zugängen zum Kulturbegriff (oft in starker Anlehnung an die Organisationskulturforschung (vgl. Allaire & Firsirotu, 1984)) stellen die Autoren ein Rahmenmodell zur Analyse von Hochschulkulturen vor (Kuh und Whitt, 1988, S. 56). Diese Arbeit erweist sich für ein besseres Verständnis unter-schiedlicher Zugänge zum Lernkulturbegriff als aufschlussreich, weil im Kontext Hoch-schule zwangsweise viele Aspekte des Lernens und Lehrens angesprochen werden. Allerdings fokussiert auch dieser Bericht nicht das Konstrukt der Lernkultur und bietet damit nur einen Ausgangspunkt für die Identifizierung unterschiedlicher Zugänge."}],"extern":"1","user_id":"51057","title":"Zugänge zum Begriff der Lernkultur: Eine Systematisierung auf Basis kultur-und lerntheoretischer Überlegungen"},{"date_updated":"2023-02-01T13:00:15Z","_id":"17253","language":[{"iso":"eng"}],"type":"conference","citation":{"apa":"Vollmer, A.-L., Pitsch, K., Lohan, K. S., Fritsch, J., Rohlfing, K., & Wrede, B. (2010). Developing feedback: How children of different age contribute to a tutoring interaction with adults. Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning, 76–81.","ama":"Vollmer A-L, Pitsch K, Lohan KS, Fritsch J, Rohlfing K, Wrede B. Developing feedback: How children of different age contribute to a tutoring interaction with adults. In: Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning. ; 2010:76-81.","chicago":"Vollmer, Anna-Lisa, Karola Pitsch, Katrin Solveig Lohan, Jannik Fritsch, Katharina Rohlfing, and Britta Wrede. “Developing Feedback: How Children of Different Age Contribute to a Tutoring Interaction with Adults.” In Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning, 76–81, 2010.","bibtex":"@inproceedings{Vollmer_Pitsch_Lohan_Fritsch_Rohlfing_Wrede_2010, title={Developing feedback: How children of different age contribute to a tutoring interaction with adults}, booktitle={Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning}, author={Vollmer, Anna-Lisa and Pitsch, Karola and Lohan, Katrin Solveig and Fritsch, Jannik and Rohlfing, Katharina and Wrede, Britta}, year={2010}, pages={76–81} }","mla":"Vollmer, Anna-Lisa, et al. “Developing Feedback: How Children of Different Age Contribute to a Tutoring Interaction with Adults.” Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning, 2010, pp. 76–81.","short":"A.-L. Vollmer, K. Pitsch, K.S. Lohan, J. Fritsch, K. Rohlfing, B. Wrede, in: Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning, 2010, pp. 76–81.","ieee":"A.-L. Vollmer, K. Pitsch, K. S. Lohan, J. Fritsch, K. Rohlfing, and B. Wrede, “Developing feedback: How children of different age contribute to a tutoring interaction with adults,” in Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning, 2010, pp. 76–81."},"year":"2010","page":"76-81","user_id":"14931","title":"Developing feedback: How children of different age contribute to a tutoring interaction with adults","status":"public","date_created":"2020-06-24T13:02:20Z","author":[{"last_name":"Vollmer","first_name":"Anna-Lisa","full_name":"Vollmer, Anna-Lisa"},{"first_name":"Karola","full_name":"Pitsch, Karola","last_name":"Pitsch"},{"first_name":"Katrin Solveig","full_name":"Lohan, Katrin Solveig","last_name":"Lohan"},{"last_name":"Fritsch","full_name":"Fritsch, Jannik","first_name":"Jannik"},{"last_name":"Rohlfing","id":"50352","first_name":"Katharina","full_name":"Rohlfing, Katharina"},{"first_name":"Britta","full_name":"Wrede, Britta","last_name":"Wrede"}],"department":[{"_id":"749"}],"publication":"Development and Learning (ICDL), 2010 IEEE 9th International Conference on Development and Learning","keyword":["tutoring interaction","social interaction","video signal processing","robot systems","paediatrics","neurophysiology","Learning","infant","feedback","biology computing","cognitive capabilities","cognition","children"]},{"date_updated":"2022-01-06T07:01:05Z","_id":"4450","year":"2009","type":"report","citation":{"mla":"Jenert, Tobias, et al. Lernkulturen an Hochschulen: Theoretische Überlegungen Zur Betrachtung Studentischen Lernens Unter Individueller, Pädagogischer Und Organisationaler Perspektive. 2009.","bibtex":"@book{Jenert_Zellweger_Dommen_Gebhardt_2009, title={Lernkulturen an Hochschulen: Theoretische Überlegungen zur Betrachtung studentischen Lernens unter individueller, pädagogischer und organisationaler Perspektive}, author={Jenert, Tobias and Zellweger, Franziska and Dommen, Jenny and Gebhardt, Anja}, year={2009} }","apa":"Jenert, T., Zellweger, F., Dommen, J., & Gebhardt, A. (2009). Lernkulturen an Hochschulen: Theoretische Überlegungen zur Betrachtung studentischen Lernens unter individueller, pädagogischer und organisationaler Perspektive.","ama":"Jenert T, Zellweger F, Dommen J, Gebhardt A. Lernkulturen an Hochschulen: Theoretische Überlegungen Zur Betrachtung Studentischen Lernens Unter Individueller, Pädagogischer Und Organisationaler Perspektive.; 2009.","chicago":"Jenert, Tobias, Franziska Zellweger, Jenny Dommen, and Anja Gebhardt. Lernkulturen an Hochschulen: Theoretische Überlegungen Zur Betrachtung Studentischen Lernens Unter Individueller, Pädagogischer Und Organisationaler Perspektive, 2009.","ieee":"T. Jenert, F. Zellweger, J. Dommen, and A. Gebhardt, Lernkulturen an Hochschulen: Theoretische Überlegungen zur Betrachtung studentischen Lernens unter individueller, pädagogischer und organisationaler Perspektive. 2009.","short":"T. Jenert, F. Zellweger, J. Dommen, A. Gebhardt, Lernkulturen an Hochschulen: Theoretische Überlegungen Zur Betrachtung Studentischen Lernens Unter Individueller, Pädagogischer Und Organisationaler Perspektive, 2009."},"extern":"1","user_id":"51057","title":"Lernkulturen an Hochschulen: Theoretische Überlegungen zur Betrachtung studentischen Lernens unter individueller, pädagogischer und organisationaler Perspektive","department":[{"_id":"208"},{"_id":"282"}],"keyword":["Lernkultur","Hochschule","HEI","learning culture","higher education","teaching and learning","Hochschullehre"],"author":[{"orcid":" https://orcid.org/0000-0001-9262-5646","full_name":"Jenert, Tobias","first_name":"Tobias","id":"71994","last_name":"Jenert"},{"last_name":"Zellweger","first_name":"Franziska","full_name":"Zellweger, Franziska"},{"last_name":"Dommen","first_name":"Jenny","full_name":"Dommen, Jenny"},{"last_name":"Gebhardt","full_name":"Gebhardt, Anja","first_name":"Anja"}],"date_created":"2018-09-18T11:55:39Z","status":"public"},{"_id":"5621","intvolume":" 4","issue":"4 Part","citation":{"bibtex":"@article{Schryen_Rich_2009, title={Security in Large-Scale Internet Elections: A Retrospective Analysis of Elections in Estonia, The Netherlands, and Switzerland}, volume={4}, number={4 Part}, journal={IEEE Transactions on Information Forensics \\& Security}, publisher={IEEE}, author={Schryen, Guido and Rich, Eliot}, year={2009}, pages={729–744} }","mla":"Schryen, Guido, and Eliot Rich. “Security in Large-Scale Internet Elections: A Retrospective Analysis of Elections in Estonia, The Netherlands, and Switzerland.” IEEE Transactions on Information Forensics \\& Security, vol. 4, no. 4 Part, IEEE, 2009, pp. 729–44.","chicago":"Schryen, Guido, and Eliot Rich. “Security in Large-Scale Internet Elections: A Retrospective Analysis of Elections in Estonia, The Netherlands, and Switzerland.” IEEE Transactions on Information Forensics \\& Security 4, no. 4 Part (2009): 729–44.","ama":"Schryen G, Rich E. Security in Large-Scale Internet Elections: A Retrospective Analysis of Elections in Estonia, The Netherlands, and Switzerland. IEEE Transactions on Information Forensics \\& Security. 2009;4(4 Part):729-744.","apa":"Schryen, G., & Rich, E. (2009). Security in Large-Scale Internet Elections: A Retrospective Analysis of Elections in Estonia, The Netherlands, and Switzerland. IEEE Transactions on Information Forensics \\& Security, 4(4 Part), 729–744.","ieee":"G. Schryen and E. Rich, “Security in Large-Scale Internet Elections: A Retrospective Analysis of Elections in Estonia, The Netherlands, and Switzerland,” IEEE Transactions on Information Forensics \\& Security, vol. 4, no. 4 Part, pp. 729–744, 2009.","short":"G. Schryen, E. Rich, IEEE Transactions on Information Forensics \\& Security 4 (2009) 729–744."},"year":"2009","type":"journal_article","page":"729-744","abstract":[{"lang":"eng","text":"Remote voting through the Internet provides convenience and access to the electorate. At the same time, the security concerns facing any distributed application are magnified when the task is so crucial to democratic society. In addition, some of the electoral process loses transparency when it is encapsulated in information technology. In this paper, we examine the public record of three recent elections that used Internet voting. Our specific goal is to identify any potential flaws that security experts would recognize, but may have not been identified in the rush to implement technology. To do this, we present a multiple exploratory case study, looking at elections conducted between 2006 and 2007 in Estonia, Netherlands, and Switzerland. These elections were selected as particularly interesting and accessible, and each presents its own technical and security challenges. The electoral environment, technical design and process for each election are described, including reconstruction of details which are implied but not specified within the source material. We found that all three elections warrant significant concern about voter security, verifiability, and transparency. Usability, our fourth area of focus, seems to have been well-addressed in these elections. While our analysis is based on public documents and previously published reports, and therefore lacking access to any confidential materials held by electoral officials, this comparative analysis provides interesting insight and consistent questions across all these cases. Effective review of Internet voting requires an aggressive stance towards identifying potential security and operational flaws, and we encourage the use of third party reviews with critical technology skills during design, programming, and voting to reduce the changes of failure or fraud that would undermine public confidence."}],"extern":"1","user_id":"61579","ddc":["000"],"file":[{"content_type":"application/pdf","date_updated":"2018-12-18T13:16:07Z","relation":"main_file","file_size":1544790,"file_id":"6316","creator":"hsiemes","access_level":"open_access","file_name":"JOURNAL VERSION.pdf","date_created":"2018-12-18T13:16:07Z"}],"author":[{"id":"72850","last_name":"Schryen","full_name":"Schryen, Guido","first_name":"Guido"},{"last_name":"Rich","first_name":"Eliot","full_name":"Rich, Eliot"}],"publisher":"IEEE","publication":"IEEE Transactions on Information Forensics \\& Security","keyword":["e-voting","Internet voting","Internet election","security","verifiability","RIES","Estonia","Neuch{\\^a}tel"],"file_date_updated":"2018-12-18T13:16:07Z","has_accepted_license":"1","status":"public","date_created":"2018-11-14T14:06:44Z","volume":4,"date_updated":"2022-01-06T07:02:12Z","oa":"1","language":[{"iso":"eng"}],"title":"Security in Large-Scale Internet Elections: A Retrospective Analysis of Elections in Estonia, The Netherlands, and Switzerland","department":[{"_id":"277"}]},{"doi":"10.1109/DEVLRN.2009.5175516","_id":"17272","date_updated":"2023-02-01T13:06:43Z","citation":{"mla":"Vollmer, Anna-Lisa, et al. “People Modify Their Tutoring Behavior in Robot-Directed Interaction for Action Learning.” Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning, IEEE, 2009, pp. 1–6, doi:10.1109/DEVLRN.2009.5175516.","bibtex":"@inproceedings{Vollmer_Lohan_Fischer_Nagai_Pitsch_Fritsch_Rohlfing_Wrede_2009, title={People modify their tutoring behavior in robot-directed interaction for action learning}, DOI={10.1109/DEVLRN.2009.5175516}, booktitle={Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning}, publisher={IEEE}, author={Vollmer, Anna-Lisa and Lohan, Katrin Solveig and Fischer, Kerstin and Nagai, Yukie and Pitsch, Karola and Fritsch, Jannik and Rohlfing, Katharina and Wrede, Britta}, year={2009}, pages={1–6} }","ieee":"A.-L. Vollmer et al., “People modify their tutoring behavior in robot-directed interaction for action learning,” in Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning, 2009, pp. 1–6, doi: 10.1109/DEVLRN.2009.5175516.","chicago":"Vollmer, Anna-Lisa, Katrin Solveig Lohan, Kerstin Fischer, Yukie Nagai, Karola Pitsch, Jannik Fritsch, Katharina Rohlfing, and Britta Wrede. “People Modify Their Tutoring Behavior in Robot-Directed Interaction for Action Learning.” In Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning, 1–6. IEEE, 2009. https://doi.org/10.1109/DEVLRN.2009.5175516.","ama":"Vollmer A-L, Lohan KS, Fischer K, et al. People modify their tutoring behavior in robot-directed interaction for action learning. In: Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning. IEEE; 2009:1-6. doi:10.1109/DEVLRN.2009.5175516","short":"A.-L. Vollmer, K.S. Lohan, K. Fischer, Y. Nagai, K. Pitsch, J. Fritsch, K. Rohlfing, B. Wrede, in: Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning, IEEE, 2009, pp. 1–6.","apa":"Vollmer, A.-L., Lohan, K. S., Fischer, K., Nagai, Y., Pitsch, K., Fritsch, J., Rohlfing, K., & Wrede, B. (2009). People modify their tutoring behavior in robot-directed interaction for action learning. Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning, 1–6. https://doi.org/10.1109/DEVLRN.2009.5175516"},"type":"conference","year":"2009","page":"1-6","language":[{"iso":"eng"}],"title":"People modify their tutoring behavior in robot-directed interaction for action learning","user_id":"14931","abstract":[{"text":"In developmental research, tutoring behavior has been identified as scaffolding infants' learning processes. It has been defined in terms of child-directed speech (Motherese), child-directed motion (Motionese), and contingency. In the field of developmental robotics, research often assumes that in human-robot interaction (HRI), robots are treated similar to infants, because their immature cognitive capabilities benefit from this behavior. However, according to our knowledge, it has barely been studied whether this is true and how exactly humans alter their behavior towards a robotic interaction partner. In this paper, we present results concerning the acceptance of a robotic agent in a social learning scenario obtained via comparison to adults and 8-11 months old infants in equal conditions. These results constitute an important empirical basis for making use of tutoring behavior in social robotics. In our study, we performed a detailed multimodal analysis of HRI in a tutoring situation using the example of a robot simulation equipped with a bottom-up saliency-based attention model. Our results reveal significant differences in hand movement velocity, motion pauses, range of motion, and eye gaze suggesting that for example adults decrease their hand movement velocity in an Adult-Child Interaction (ACI), opposed to an Adult-Adult Interaction (AAI) and this decrease is even higher in the Adult-Robot Interaction (ARI). We also found important differences between ACI and ARI in how the behavior is modified over time as the interaction unfolds. These findings indicate the necessity of integrating top-down feedback structures into a bottom-up system for robots to be fully accepted as interaction partners.","lang":"eng"}],"status":"public","date_created":"2020-06-24T13:02:43Z","author":[{"first_name":"Anna-Lisa","full_name":"Vollmer, Anna-Lisa","last_name":"Vollmer"},{"full_name":"Lohan, Katrin Solveig","first_name":"Katrin Solveig","last_name":"Lohan"},{"full_name":"Fischer, Kerstin","first_name":"Kerstin","last_name":"Fischer"},{"last_name":"Nagai","first_name":"Yukie","full_name":"Nagai, Yukie"},{"last_name":"Pitsch","first_name":"Karola","full_name":"Pitsch, Karola"},{"last_name":"Fritsch","first_name":"Jannik","full_name":"Fritsch, Jannik"},{"last_name":"Rohlfing","id":"50352","first_name":"Katharina","full_name":"Rohlfing, Katharina"},{"full_name":"Wrede, Britta","first_name":"Britta","last_name":"Wrede"}],"publisher":"IEEE","department":[{"_id":"749"}],"keyword":["robot simulation","hand movement velocity","robotic interaction partner","robotic agent","robot-directed interaction","multimodal analysis","Motionese","Motherese","intelligent tutoring systems","immature cognitive capability","human computer interaction","eye gaze","child-directed speech","child-directed motion","bottom-up system","bottom-up saliency-based attention model","adult-robot interaction","adult-child interaction","adult-adult interaction","human-robot interaction","action learning","social learning scenario","social robotics","software agents","top-down feedback structures","tutoring behavior"],"publication":"Development and Learning, 2009. ICDL 2009. IEEE 8th International Conference on Development and Learning"},{"user_id":"51057","title":"Einsatz von E-Portfolios zur Förderung von studentischen Lerngemeinschaften im Hochschulstudium.","extern":"1","status":"public","date_created":"2018-09-19T09:08:18Z","alternative_title":["Proceedings der Pre-Conference Workshops der 5. e-Learning Fachtagung Informatik DeLFI 2007"],"publisher":"Logos Verlag","author":[{"first_name":"Thomas","full_name":"Sporer, Thomas","last_name":"Sporer"},{"last_name":"Jenert","id":"71994","first_name":"Tobias","orcid":" https://orcid.org/0000-0001-9262-5646","full_name":"Jenert, Tobias"},{"last_name":"Strehl","full_name":"Strehl, Bernhard","first_name":"Bernhard"},{"first_name":"Patrick Ole","full_name":"Noack, Patrick Ole","last_name":"Noack"}],"publication":"DeLFI Workshops","department":[{"_id":"208"},{"_id":"282"}],"keyword":["E-Portfolios","Lerngemeinschaften","Praxisgemeinschaften","Projektgruppen","Hochschulstudium","informelles Lernen"],"date_updated":"2022-01-06T07:01:06Z","_id":"4494","conference":{"location":"Siegen","name":"DeLFI 2007 - 5. e-Learing Fachtagung Informatik der Gesellschaft für Informatik e.V.","start_date":"2007-09-17","end_date":"2007-09-17"},"year":"2007","citation":{"bibtex":"@inproceedings{Sporer_Jenert_Strehl_Noack_2007, title={Einsatz von E-Portfolios zur Förderung von studentischen Lerngemeinschaften im Hochschulstudium.}, booktitle={DeLFI Workshops}, publisher={Logos Verlag}, author={Sporer, Thomas and Jenert, Tobias and Strehl, Bernhard and Noack, Patrick Ole}, year={2007}, pages={19--26} }","mla":"Sporer, Thomas, et al. “Einsatz von E-Portfolios Zur Förderung von Studentischen Lerngemeinschaften Im Hochschulstudium.” DeLFI Workshops, Logos Verlag, 2007, pp. 19--26.","apa":"Sporer, T., Jenert, T., Strehl, B., & Noack, P. 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Noack, in: DeLFI Workshops, Logos Verlag, 2007, pp. 19--26."},"type":"conference","page":"19--26"},{"date_updated":"2022-01-06T07:01:06Z","place":"Frankfurt am Main ","title":"Semivirtuelle Lernumgebung zum wissenschaftlichen Arbeiten als Ergänzung des Studienangebots der Universität Augsburg","department":[{"_id":"208"},{"_id":"282"}],"publication_identifier":{"isbn":["978-3-925474-60-6"]},"_id":"4496","intvolume":" 9","conference":{"location":"Frankfurt am Main ","name":"29. Online-Tagung der DGI","start_date":"2007-10-10","end_date":"2007-10-12"},"citation":{"ieee":"N. Heinze, T. Sporer, and T. Jenert, “Semivirtuelle Lernumgebung zum wissenschaftlichen Arbeiten als Ergänzung des Studienangebots der Universität Augsburg,” in Deutsche Gesellschaft für Informationswissenschaft und Informationspraxis: Tagungen der Deutschen Gesellschaft für Informationswissenschaft und Informationspraxis, Frankfurt am Main , 2007, vol. 9, pp. 319–328.","short":"N. Heinze, T. Sporer, T. 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Frankfurt am Main , 2007.","ama":"Heinze N, Sporer T, Jenert T. Semivirtuelle Lernumgebung zum wissenschaftlichen Arbeiten als Ergänzung des Studienangebots der Universität Augsburg. In: Deutsche Gesellschaft Für Informationswissenschaft Und Informationspraxis: Tagungen Der Deutschen Gesellschaft Für Informationswissenschaft Und Informationspraxis. Vol 9. Frankfurt am Main ; 2007:319-328.","apa":"Heinze, N., Sporer, T., & Jenert, T. (2007). Semivirtuelle Lernumgebung zum wissenschaftlichen Arbeiten als Ergänzung des Studienangebots der Universität Augsburg. In Deutsche Gesellschaft für Informationswissenschaft und Informationspraxis: Tagungen der Deutschen Gesellschaft für Informationswissenschaft und Informationspraxis (Vol. 9, pp. 319–328). Frankfurt am Main ."},"year":"2007","type":"conference","page":"319-328","extern":"1","user_id":"51057","author":[{"first_name":"Nina","full_name":"Heinze, Nina","last_name":"Heinze"},{"first_name":"Thomas","full_name":"Sporer, Thomas","last_name":"Sporer"},{"last_name":"Jenert","id":"71994","first_name":"Tobias","orcid":" https://orcid.org/0000-0001-9262-5646","full_name":"Jenert, Tobias"}],"publication":"Deutsche Gesellschaft für Informationswissenschaft und Informationspraxis: Tagungen der Deutschen Gesellschaft für Informationswissenschaft und Informationspraxis","keyword":["Wissenschaftliches Arbeiten","Blended Learning","Tutoring"],"alternative_title":["Information in Wissenschaft, Bildung und Wirtschaft"],"volume":9,"status":"public","date_created":"2018-09-19T09:17:23Z"}]