[{"user_id":"77066","page":"1-41","_id":"45299","publisher":"Taylor & Francis","status":"public","citation":{"mla":"Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.” <i>Journal of Decision Systems</i>, Taylor &#38; Francis, 2023, pp. 1–41, doi:<a href=\"https://doi.org/10.1080/12460125.2023.2207268\">10.1080/12460125.2023.2207268</a>.","bibtex":"@article{Kucklick_2023, title={HIEF: a holistic interpretability and explainability framework}, DOI={<a href=\"https://doi.org/10.1080/12460125.2023.2207268\">10.1080/12460125.2023.2207268</a>}, journal={Journal of Decision Systems}, publisher={Taylor &#38; Francis}, author={Kucklick, Jan-Peter}, year={2023}, pages={1–41} }","ama":"Kucklick J-P. HIEF: a holistic interpretability and explainability framework. <i>Journal of Decision Systems</i>. Published online 2023:1-41. doi:<a href=\"https://doi.org/10.1080/12460125.2023.2207268\">10.1080/12460125.2023.2207268</a>","ieee":"J.-P. Kucklick, “HIEF: a holistic interpretability and explainability framework,” <i>Journal of Decision Systems</i>, pp. 1–41, 2023, doi: <a href=\"https://doi.org/10.1080/12460125.2023.2207268\">10.1080/12460125.2023.2207268</a>.","apa":"Kucklick, J.-P. (2023). HIEF: a holistic interpretability and explainability framework. <i>Journal of Decision Systems</i>, 1–41. <a href=\"https://doi.org/10.1080/12460125.2023.2207268\">https://doi.org/10.1080/12460125.2023.2207268</a>","short":"J.-P. Kucklick, Journal of Decision Systems (2023) 1–41.","chicago":"Kucklick, Jan-Peter. “HIEF: A Holistic Interpretability and Explainability Framework.” <i>Journal of Decision Systems</i>, 2023, 1–41. <a href=\"https://doi.org/10.1080/12460125.2023.2207268\">https://doi.org/10.1080/12460125.2023.2207268</a>."},"doi":"10.1080/12460125.2023.2207268","main_file_link":[{"url":"https://www.tandfonline.com/doi/full/10.1080/12460125.2023.2207268"}],"language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2023-05-26T05:08:36Z","year":"2023","title":"HIEF: a holistic interpretability and explainability framework","author":[{"id":"77066","full_name":"Kucklick, Jan-Peter","last_name":"Kucklick","first_name":"Jan-Peter"}],"publication_identifier":{"issn":["1246-0125","2116-7052"]},"keyword":["Explainable AI (XAI)","machine learning","interpretability","real estate appraisal","framework","taxonomy"],"type":"journal_article","department":[{"_id":"195"},{"_id":"196"}],"date_created":"2023-05-26T05:04:45Z","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."}],"publication":"Journal of Decision Systems"},{"project":[{"name":"KnowGraphs: KnowGraphs: Knowledge Graphs at Scale","_id":"410"},{"grant_number":"101070305","_id":"407","name":"ENEXA: Efficient Explainable Learning on Knowledge Graphs"},{"name":"SAIL: SAIL: SustAInable Life-cycle of Intelligent Socio-Technical Systems","grant_number":"NW21-059D","_id":"285"}],"citation":{"ieee":"N. J. KOUAGOU, S. Heindorf, C. Demir, and A.-C. Ngonga Ngomo, “Neural Class Expression Synthesis,” in <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>, Hersonissos, Crete, Greece, 2023, vol. 13870, pp. 209–226, doi: <a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>.","apa":"KOUAGOU, N. J., Heindorf, S., Demir, C., &#38; 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, &#38; S. Hertling (Eds.), <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i> (Vol. 13870, pp. 209–226). Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>","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.","chicago":"KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis.” In <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>, 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. <a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>.","mla":"KOUAGOU, N’Dah Jean, et al. “Neural Class Expression Synthesis.” <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>, edited by Catia Pesquita et al., vol. 13870, Springer International Publishing, 2023, pp. 209–26, doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>.","bibtex":"@inproceedings{KOUAGOU_Heindorf_Demir_Ngonga Ngomo_2023, title={Neural Class Expression Synthesis}, volume={13870}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>}, 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} }","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. <i>The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)</i>. Vol 13870. Springer International Publishing; 2023:209-226. doi:<a href=\"https://doi.org/10.1007/978-3-031-33455-9_13\">https://doi.org/10.1007/978-3-031-33455-9_13</a>"},"oa":"1","external_id":{"unknown":["https://link.springer.com/chapter/10.1007/978-3-031-33455-9_13"]},"conference":{"end_date":"2023-06-01","location":"Hersonissos, Crete, Greece","start_date":"2023-05-28","name":"20th Extended Semantic Web Conference"},"status":"public","volume":13870,"editor":[{"full_name":"Pesquita, Catia","first_name":"Catia","last_name":"Pesquita"},{"full_name":"Jimenez-Ruiz, Ernesto","last_name":"Jimenez-Ruiz","first_name":"Ernesto"},{"last_name":"McCusker","first_name":"Jamie","full_name":"McCusker, Jamie"},{"last_name":"Faria","first_name":"Daniel","full_name":"Faria, Daniel"},{"full_name":"Dragoni, Mauro","first_name":"Mauro","last_name":"Dragoni"},{"first_name":"Anastasia","last_name":"Dimou","full_name":"Dimou, Anastasia"},{"first_name":"Raphael","last_name":"Troncy","full_name":"Troncy, Raphael"},{"full_name":"Hertling, Sven","first_name":"Sven","last_name":"Hertling"}],"user_id":"11871","_id":"33734","publisher":"Springer International Publishing","page":"209 - 226","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"}],"publication":"The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023)","department":[{"_id":"574"},{"_id":"760"}],"keyword":["Neural network","Concept learning","Description logics"],"type":"conference","date_created":"2022-10-15T19:20:11Z","intvolume":"     13870","publication_status":"published","date_updated":"2023-07-02T18:10:02Z","author":[{"id":"87189","first_name":"N'Dah Jean","last_name":"KOUAGOU","full_name":"KOUAGOU, N'Dah Jean"},{"orcid":"0000-0002-4525-6865","first_name":"Stefan","last_name":"Heindorf","full_name":"Heindorf, Stefan","id":"11871"},{"id":"43817","full_name":"Demir, Caglar","last_name":"Demir","first_name":"Caglar"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille","id":"65716"}],"publication_identifier":{"unknown":["978-3-031-33455-9"]},"year":"2023","title":"Neural Class Expression Synthesis","doi":"https://doi.org/10.1007/978-3-031-33455-9_13","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://2023.eswc-conferences.org/wp-content/uploads/2023/05/paper_Kouagou_2023_Neural.pdf","open_access":"1"}]},{"page":"114780","publisher":"Elsevier","_id":"29240","ddc":["510"],"user_id":"85279","volume":421,"status":"public","has_accepted_license":"1","external_id":{"arxiv":["2112.12619"]},"oa":"1","file_date_updated":"2022-06-28T15:25:50Z","citation":{"bibtex":"@article{Ober-Blöbaum_Offen_2023, title={Variational Learning of Euler–Lagrange Dynamics from Data}, volume={421}, DOI={<a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>}, journal={Journal of Computational and Applied Mathematics}, publisher={Elsevier}, author={Ober-Blöbaum, Sina and Offen, Christian}, year={2023}, pages={114780} }","ama":"Ober-Blöbaum S, Offen C. Variational Learning of Euler–Lagrange Dynamics from Data. <i>Journal of Computational and Applied Mathematics</i>. 2023;421:114780. doi:<a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>","mla":"Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” <i>Journal of Computational and Applied Mathematics</i>, vol. 421, Elsevier, 2023, p. 114780, doi:<a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>.","short":"S. Ober-Blöbaum, C. Offen, Journal of Computational and Applied Mathematics 421 (2023) 114780.","chicago":"Ober-Blöbaum, Sina, and Christian Offen. “Variational Learning of Euler–Lagrange Dynamics from Data.” <i>Journal of Computational and Applied Mathematics</i> 421 (2023): 114780. <a href=\"https://doi.org/10.1016/j.cam.2022.114780\">https://doi.org/10.1016/j.cam.2022.114780</a>.","ieee":"S. Ober-Blöbaum and C. Offen, “Variational Learning of Euler–Lagrange Dynamics from Data,” <i>Journal of Computational and Applied Mathematics</i>, vol. 421, p. 114780, 2023, doi: <a href=\"https://doi.org/10.1016/j.cam.2022.114780\">10.1016/j.cam.2022.114780</a>.","apa":"Ober-Blöbaum, S., &#38; Offen, C. (2023). Variational Learning of Euler–Lagrange Dynamics from Data. <i>Journal of Computational and Applied Mathematics</i>, <i>421</i>, 114780. <a href=\"https://doi.org/10.1016/j.cam.2022.114780\">https://doi.org/10.1016/j.cam.2022.114780</a>"},"quality_controlled":"1","language":[{"iso":"eng"}],"doi":"10.1016/j.cam.2022.114780","year":"2023","title":"Variational Learning of Euler–Lagrange Dynamics from Data","publication_identifier":{"issn":["0377-0427"]},"author":[{"id":"16494","full_name":"Ober-Blöbaum, Sina","last_name":"Ober-Blöbaum","first_name":"Sina"},{"full_name":"Offen, Christian","first_name":"Christian","orcid":"0000-0002-5940-8057","last_name":"Offen","id":"85279"}],"date_updated":"2023-08-10T08:42:39Z","publication_status":"epub_ahead","intvolume":"       421","article_type":"original","file":[{"date_created":"2022-06-28T15:25:50Z","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.","creator":"coffen","content_type":"application/pdf","file_id":"32274","title":"Variational Learning of Euler–Lagrange Dynamics from Data","access_level":"open_access","file_size":3640770,"file_name":"ShadowLagrangian_revision1_journal_style_arxiv.pdf","date_updated":"2022-06-28T15:25:50Z","relation":"main_file"}],"date_created":"2022-01-11T13:24:00Z","type":"journal_article","keyword":["Lagrangian learning","variational backward error analysis","modified Lagrangian","variational integrators","physics informed learning"],"department":[{"_id":"636"}],"publication":"Journal of Computational and Applied Mathematics","abstract":[{"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.","lang":"eng"}],"related_material":{"link":[{"url":"https://github.com/Christian-Offen/LagrangianShadowIntegration","relation":"software"}]}},{"citation":{"apa":"Zirngibl, C., Martin, S., Steinfelder, C., Schleich, B., Tröster, T., Brosius, A., &#38; Wartzack, S. (2023). Methodical approach for the design and dimensioning of mechanical clinched assemblies. <i>Materials Research Proceedings</i>, <i>25</i>. <a href=\"https://doi.org/10.21741/9781644902417-23\">https://doi.org/10.21741/9781644902417-23</a>","ieee":"C. Zirngibl <i>et al.</i>, “Methodical approach for the design and dimensioning of mechanical clinched assemblies,” in <i>Materials Research Proceedings</i>, Erlangen-Nürnberg, 2023, vol. 25, doi: <a href=\"https://doi.org/10.21741/9781644902417-23\">10.21741/9781644902417-23</a>.","short":"C. Zirngibl, S. Martin, C. Steinfelder, B. Schleich, T. Tröster, A. Brosius, S. Wartzack, in: Materials Research Proceedings, Materials Research Forum LLC, 2023.","chicago":"Zirngibl, Christoph, Sven Martin, Christian Steinfelder, Benjamin Schleich, Thomas Tröster, Alexander Brosius, and Sandro Wartzack. “Methodical Approach for the Design and Dimensioning of Mechanical Clinched Assemblies.” In <i>Materials Research Proceedings</i>, Vol. 25. Materials Research Forum LLC, 2023. <a href=\"https://doi.org/10.21741/9781644902417-23\">https://doi.org/10.21741/9781644902417-23</a>.","mla":"Zirngibl, Christoph, et al. “Methodical Approach for the Design and Dimensioning of Mechanical Clinched Assemblies.” <i>Materials Research Proceedings</i>, vol. 25, Materials Research Forum LLC, 2023, doi:<a href=\"https://doi.org/10.21741/9781644902417-23\">10.21741/9781644902417-23</a>.","ama":"Zirngibl C, Martin S, Steinfelder C, et al. Methodical approach for the design and dimensioning of mechanical clinched assemblies. In: <i>Materials Research Proceedings</i>. Vol 25. Materials Research Forum LLC; 2023. doi:<a href=\"https://doi.org/10.21741/9781644902417-23\">10.21741/9781644902417-23</a>","bibtex":"@inproceedings{Zirngibl_Martin_Steinfelder_Schleich_Tröster_Brosius_Wartzack_2023, title={Methodical approach for the design and dimensioning of mechanical clinched assemblies}, volume={25}, DOI={<a href=\"https://doi.org/10.21741/9781644902417-23\">10.21741/9781644902417-23</a>}, booktitle={Materials Research Proceedings}, publisher={Materials Research Forum LLC}, author={Zirngibl, Christoph and Martin, Sven and Steinfelder, Christian and Schleich, Benjamin and Tröster, Thomas and Brosius, Alexander and Wartzack, Sandro}, year={2023} }"},"project":[{"name":"TRR 285: TRR 285:  Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten","_id":"130","grant_number":"418701707"},{"_id":"132","name":"TRR 285 - B: TRR 285 - Project Area B"},{"name":"TRR 285 – B01: TRR 285 - Subproject B01","_id":"140"},{"name":"TRR 285 – B05: TRR 285 - Subproject B05","_id":"144"}],"_id":"60304","publisher":"Materials Research Forum LLC","user_id":"104464","volume":25,"status":"public","conference":{"name":"20th International Conference on Sheet Metal","start_date":"2023-04-02","location":"Erlangen-Nürnberg","end_date":"2023-04-05"},"date_created":"2025-06-23T08:08:23Z","type":"conference","keyword":["Joining","Structural Analysis","Machine Learning"],"department":[{"_id":"630"}],"publication":"Materials Research Proceedings","abstract":[{"text":"The focus towards multi-material and lightweight assemblies, driven by legal requirements on reducing emissions and energy consumptions, reveals important drawbacks and disadvantages of established joining processes, such as welding. In this context, mechanical joining technologies, such as clinching, are becoming more and more relevant especially in the automotive industry. However, the availability of only few standards and almost none systematic design methods causes a still very time- and cost-intensive assembly development process considering mainly expert knowledge and a considerable amount of experimental studies. Motivated by this, the presented work introduces a novel approach for the methodical design and dimensioning of mechanically clinched assemblies. Therefore, the utilization of regression models, such as machine learning algorithms, combined with manufacturing knowledge ensures a reliable estimation of individual clinched joint characteristics. In addition, the implementation of an engineering workbench enables the following data-driven and knowledge-based generation of high-quality initial assembly designs already in early product development phases. In a subsequent analysis and adjustment, these designs are being improved while guaranteeing joining safety and loading conformity. The presented results indicate that the methodological approach can pave the way to a more systematic design process of mechanical joining assemblies, which can significantly shorten the required number of iteration loops and therefore the product development time.","lang":"eng"}],"language":[{"iso":"eng"}],"doi":"10.21741/9781644902417-23","year":"2023","title":"Methodical approach for the design and dimensioning of mechanical clinched assemblies","publication_identifier":{"issn":["2474-395X"]},"author":[{"last_name":"Zirngibl","first_name":"Christoph","full_name":"Zirngibl, Christoph"},{"last_name":"Martin","first_name":"Sven","full_name":"Martin, Sven"},{"first_name":"Christian","last_name":"Steinfelder","full_name":"Steinfelder, Christian"},{"last_name":"Schleich","first_name":"Benjamin","full_name":"Schleich, Benjamin"},{"last_name":"Tröster","first_name":"Thomas","full_name":"Tröster, Thomas"},{"full_name":"Brosius, Alexander","last_name":"Brosius","first_name":"Alexander"},{"last_name":"Wartzack","first_name":"Sandro","full_name":"Wartzack, Sandro"}],"publication_status":"published","date_updated":"2025-06-23T08:15:07Z","intvolume":"        25"},{"publication":"Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)","file":[{"date_created":"2023-03-25T10:01:03Z","creator":"maxh","file_id":"43096","content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2023-03-25T10:01:03Z","file_name":"HoffmannBiehler2022_indrum_congruence.pdf","file_size":201942,"access_level":"closed"}],"date_created":"2022-06-12T11:07:34Z","keyword":["Teaching and learning of specific topics in university mathematics","Transition to","across and from university mathematics","Student Teachers","Geometry","Congruence","Double Discontinuity."],"type":"conference","department":[{"_id":"97"}],"title":"Student Teachers’ Knowledge of Congruence before a University Course on Geometry","year":"2023","author":[{"full_name":"Hoffmann, Max","orcid":"0000-0002-6964-7123","last_name":"Hoffmann","first_name":"Max","id":"32202"},{"id":"16274","full_name":"Biehler, Rolf","first_name":"Rolf","last_name":"Biehler"}],"date_updated":"2026-10-13T07:55:40Z","publication_status":"published","main_file_link":[{"open_access":"1","url":"https://hal.univ-reims.fr/INDRUM2022/"}],"language":[{"iso":"eng"}],"file_date_updated":"2023-03-25T10:01:03Z","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} }","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. <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>. University of Hannover and INDRUM.; 2023.","mla":"Hoffmann, Max, and Rolf Biehler. “Student Teachers’ Knowledge of Congruence before a University Course on Geometry.” <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>, 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 <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>, edited by Marı́a Trigueros, Berta Barquero, Reinhard Hochmuth, and Jana Peters. Hannover: University of Hannover and INDRUM., 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.","ieee":"M. Hoffmann and R. Biehler, “Student Teachers’ Knowledge of Congruence before a University Course on Geometry,” in <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>, 2023.","apa":"Hoffmann, M., &#38; Biehler, R. (2023). Student Teachers’ Knowledge of Congruence before a University Course on Geometry. In M. Trigueros, B. Barquero, R. Hochmuth, &#38; J. Peters (Eds.), <i>Proceedings of the Fourth Conference of the International Network for Didactic Research in University Mathematics (INDRUM 2022, 19-22 October 2022)</i>. University of Hannover and INDRUM."},"quality_controlled":"1","place":"Hannover","oa":"1","status":"public","has_accepted_license":"1","_id":"31849","publisher":"University of Hannover and INDRUM.","ddc":["370","510"],"user_id":"14972","editor":[{"first_name":"Marı́a","last_name":"Trigueros","full_name":"Trigueros, Marı́a"},{"full_name":"Barquero, Berta","first_name":"Berta","last_name":"Barquero"},{"full_name":"Hochmuth, Reinhard","last_name":"Hochmuth","first_name":"Reinhard"},{"full_name":"Peters, Jana","first_name":"Jana","last_name":"Peters"}]},{"oa":"1","quality_controlled":"1","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"}],"file_date_updated":"2022-03-10T18:25:41Z","citation":{"short":"S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.","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 <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. IEEE, 2022.","apa":"Schneider, S. B., Werner, S., Khalili, R., Hecker, A., &#38; Karl, H. (2022). mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.","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.","ama":"Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. In: <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. 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.” <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>, IEEE, 2022."},"ddc":["004"],"user_id":"35343","_id":"30236","publisher":"IEEE","has_accepted_license":"1","status":"public","conference":{"name":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","start_date":"2022-04-25","location":"Budapest","end_date":"2022-04-29"},"keyword":["wireless mobile networks","network management","continuous control","cognitive networks","autonomous coordination","reinforcement learning","gym environment","simulation","open source"],"type":"conference","department":[{"_id":"75"}],"file":[{"creator":"stschn","date_created":"2022-03-10T18:25:41Z","file_name":"author_version.pdf","file_size":223412,"access_level":"open_access","relation":"main_file","date_updated":"2022-03-10T18:25:41Z","file_id":"30237","content_type":"application/pdf"}],"date_created":"2022-03-10T18:28:14Z","abstract":[{"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.","lang":"eng"}],"publication":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","language":[{"iso":"eng"}],"date_updated":"2022-03-10T18:28:19Z","year":"2022","title":"mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks","author":[{"orcid":"0000-0001-8210-4011","first_name":"Stefan Balthasar","last_name":"Schneider","full_name":"Schneider, Stefan Balthasar","id":"35343"},{"full_name":"Werner, Stefan","first_name":"Stefan","last_name":"Werner"},{"last_name":"Khalili","first_name":"Ramin","full_name":"Khalili, Ramin"},{"full_name":"Hecker, Artur","last_name":"Hecker","first_name":"Artur"},{"id":"126","full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"}]},{"type":"book_editor","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"],"department":[{"_id":"452"}],"date_created":"2022-03-13T19:13:27Z","related_material":{"link":[{"relation":"other","url":"https://link.springer.com/book/10.1007/978-3-030-89582-2#about"}]},"abstract":[{"lang":"eng","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."}],"doi":"10.1007/978-3-030-89582-2","alternative_title":["Insights from a Growing Field"],"language":[{"iso":"eng"}],"publication_status":"published","date_updated":"2022-03-13T19:14:34Z","year":"2022","title":"Research Approaches on Workplace Learning","publication_identifier":{"isbn":["9783030895815","9783030895822"],"issn":["2210-5549","2210-5557"]},"place":"Cham","citation":{"apa":"Harteis, C., Gijbels, D., &#38; Kyndt, E. (Eds.). (2022). <i>Research Approaches on Workplace Learning</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-89582-2\">https://doi.org/10.1007/978-3-030-89582-2</a>","ieee":"C. Harteis, D. Gijbels, and E. Kyndt, Eds., <i>Research Approaches on Workplace Learning</i>. Cham: Springer International Publishing, 2022.","short":"C. Harteis, D. Gijbels, E. Kyndt, eds., Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.","chicago":"Harteis, Christian, David Gijbels, and Eva Kyndt, eds. <i>Research Approaches on Workplace Learning</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-030-89582-2\">https://doi.org/10.1007/978-3-030-89582-2</a>.","mla":"Harteis, Christian, et al., editors. <i>Research Approaches on Workplace Learning</i>. Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2\">10.1007/978-3-030-89582-2</a>.","ama":"Harteis C, Gijbels D, Kyndt E, eds. <i>Research Approaches on Workplace Learning</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2\">10.1007/978-3-030-89582-2</a>","bibtex":"@book{Harteis_Gijbels_Kyndt_2022, place={Cham}, title={Research Approaches on Workplace Learning}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-89582-2\">10.1007/978-3-030-89582-2</a>}, publisher={Springer International Publishing}, year={2022} }"},"user_id":"50788","editor":[{"full_name":"Harteis, Christian","first_name":"Christian","orcid":"https://orcid.org/0000-0002-3570-7626","last_name":"Harteis","id":"27503"},{"full_name":"Gijbels, David","first_name":"David","last_name":"Gijbels"},{"last_name":"Kyndt","first_name":"Eva","full_name":"Kyndt, Eva"}],"_id":"30291","publisher":"Springer International Publishing","status":"public"},{"status":"public","_id":"30289","publisher":"Springer International Publishing","user_id":"50788","citation":{"mla":"Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” <i>Research Approaches on Workplace Learning</i>, Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">10.1007/978-3-030-89582-2_1</a>.","ama":"Goller M, Paloniemi S. Agency: Taking Stock of Workplace Learning Research. In: <i>Research Approaches on Workplace Learning</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">10.1007/978-3-030-89582-2_1</a>","bibtex":"@inbook{Goller_Paloniemi_2022, place={Cham}, title={Agency: Taking Stock of Workplace Learning Research}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">10.1007/978-3-030-89582-2_1</a>}, booktitle={Research Approaches on Workplace Learning}, publisher={Springer International Publishing}, author={Goller, Michael and Paloniemi, Susanna}, year={2022} }","apa":"Goller, M., &#38; Paloniemi, S. (2022). Agency: Taking Stock of Workplace Learning Research. In <i>Research Approaches on Workplace Learning</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">https://doi.org/10.1007/978-3-030-89582-2_1</a>","ieee":"M. Goller and S. Paloniemi, “Agency: Taking Stock of Workplace Learning Research,” in <i>Research Approaches on Workplace Learning</i>, Cham: Springer International Publishing, 2022.","chicago":"Goller, Michael, and Susanna Paloniemi. “Agency: Taking Stock of Workplace Learning Research.” In <i>Research Approaches on Workplace Learning</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_1\">https://doi.org/10.1007/978-3-030-89582-2_1</a>.","short":"M. Goller, S. Paloniemi, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022."},"place":"Cham","publication_identifier":{"issn":["2210-5549","2210-5557"],"isbn":["9783030895815","9783030895822"]},"author":[{"id":"30984","full_name":"Goller, Michael","orcid":"0000-0002-2820-9178","last_name":"Goller","first_name":"Michael"},{"last_name":"Paloniemi","first_name":"Susanna","full_name":"Paloniemi, Susanna"}],"year":"2022","title":"Agency: Taking Stock of Workplace Learning Research","publication_status":"published","date_updated":"2022-03-13T19:14:43Z","language":[{"iso":"eng"}],"doi":"10.1007/978-3-030-89582-2_1","publication":"Research Approaches on Workplace Learning","related_material":{"link":[{"url":"https://link.springer.com/chapter/10.1007/978-3-030-89582-2_1#Abs1","relation":"other"}]},"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"}],"date_created":"2022-03-13T19:09:20Z","department":[{"_id":"452"}],"keyword":["Agency Workplace learning Professional development Proactivity Self-direction"],"type":"book_chapter"},{"place":"Cham","citation":{"ieee":"C. Harteis, “Research on Workplace Learning in Times of Digitalisation,” in <i>Research Approaches on Workplace Learning</i>, Cham: Springer International Publishing, 2022.","apa":"Harteis, C. (2022). Research on Workplace Learning in Times of Digitalisation. In <i>Research Approaches on Workplace Learning</i>. Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">https://doi.org/10.1007/978-3-030-89582-2_19</a>","chicago":"Harteis, Christian. “Research on Workplace Learning in Times of Digitalisation.” In <i>Research Approaches on Workplace Learning</i>. Cham: Springer International Publishing, 2022. <a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">https://doi.org/10.1007/978-3-030-89582-2_19</a>.","short":"C. Harteis, in: Research Approaches on Workplace Learning, Springer International Publishing, Cham, 2022.","mla":"Harteis, Christian. “Research on Workplace Learning in Times of Digitalisation.” <i>Research Approaches on Workplace Learning</i>, Springer International Publishing, 2022, doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">10.1007/978-3-030-89582-2_19</a>.","bibtex":"@inbook{Harteis_2022, place={Cham}, title={Research on Workplace Learning in Times of Digitalisation}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">10.1007/978-3-030-89582-2_19</a>}, booktitle={Research Approaches on Workplace Learning}, publisher={Springer International Publishing}, author={Harteis, Christian}, year={2022} }","ama":"Harteis C. Research on Workplace Learning in Times of Digitalisation. In: <i>Research Approaches on Workplace Learning</i>. Springer International Publishing; 2022. doi:<a href=\"https://doi.org/10.1007/978-3-030-89582-2_19\">10.1007/978-3-030-89582-2_19</a>"},"user_id":"50788","_id":"30290","publisher":"Springer International Publishing","status":"public","type":"book_chapter","keyword":["Digitalisation Self organisation Distribution of labour Automation"],"department":[{"_id":"452"}],"date_created":"2022-03-13T19:11:33Z","related_material":{"link":[{"relation":"other","url":"https://link.springer.com/chapter/10.1007/978-3-030-89582-2_19#citeas"}]},"abstract":[{"lang":"eng","text":"The article explores the particular quality of changes introduced through the latest wave of digital transformation of workplaces. It has effects on workflow processes, on distribution of work and tasks, and the mode of distributing working tasks, e.g. through cyber-physical systems. Hence, the changes in work are manifold and require changes in vocational education and training as well as in workplace learning. These changes reveal new challenges for research on workplace learning. Finally, conclusions for future workplace learning research will be developed."}],"publication":"Research Approaches on Workplace Learning","doi":"10.1007/978-3-030-89582-2_19","language":[{"iso":"eng"}],"date_updated":"2022-03-13T19:14:38Z","publication_status":"published","year":"2022","title":"Research on Workplace Learning in Times of Digitalisation","publication_identifier":{"isbn":["9783030895815","9783030895822"],"issn":["2210-5549","2210-5557"]},"author":[{"full_name":"Harteis, Christian","orcid":"https://orcid.org/0000-0002-3570-7626","last_name":"Harteis","first_name":"Christian","id":"27503"}]},{"doi":"10.1109/ICSA-C54293.2022.00011","language":[{"iso":"eng"}],"date_updated":"2022-07-04T12:34:53Z","year":"2022","title":"Model-driven Continuous Experimentation on Component-based Software Architectures ","author":[{"id":"47208","full_name":"Gottschalk, Sebastian","first_name":"Sebastian","last_name":"Gottschalk"},{"orcid":"0000-0002-5967-833X","last_name":"Yigitbas","first_name":"Enes","full_name":"Yigitbas, Enes","id":"8447"},{"last_name":"Engels","first_name":"Gregor","full_name":"Engels, Gregor","id":"107"}],"type":"conference","keyword":["continuous experimentation","model-driven","component-based software architectures","self-adaptation"],"department":[{"_id":"66"},{"_id":"534"}],"file":[{"date_updated":"2022-07-04T12:34:52Z","relation":"main_file","file_size":183185,"access_level":"open_access","file_name":"ICSA_CR.pdf","content_type":"application/pdf","file_id":"32322","creator":"sego","date_created":"2022-07-04T12:33:18Z"}],"date_created":"2022-02-15T07:32:10Z","abstract":[{"text":"To build successful software products, developers continuously have to discover what features the users really need. This discovery can be achieved with continuous experimentation, testing different software variants with distinct user groups, and deploying the superior variant for all users. However, existing approaches do not focus on explicit modeling of variants and experiments, which offers advantages such as traceability of decisions and combinability of experiments. Therefore, our vision is the provision of model-driven continuous experimentation, which provides the developer with a framework for structuring the experimentation process. For that, we introduce the overall concept, apply it to the experimentation on component-based software architectures and point out future research questions. In particular, we show the applicability by combining feature models for modeling the software variants, users, and experiments (i.e., model-driven) with MAPE-K for the adaptation (i.e., continuous experimentation) and implementing the concept based on the component-based Angular framework.","lang":"eng"}],"publication":"Proceedings of the 18th International Conference on Software Architecture Companion ","ddc":["000"],"user_id":"47208","_id":"29842","publisher":"IEEE","has_accepted_license":"1","status":"public","conference":{"end_date":"2022-03-15","start_date":"2022-03-12","name":"18th International Conference on Software Architecture ","location":"Hawaii"},"oa":"1","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"_id":"17","name":"SFB 901 - C5: SFB 901 - Subproject C5"}],"file_date_updated":"2022-07-04T12:34:52Z","citation":{"ama":"Gottschalk S, Yigitbas E, Engels G. Model-driven Continuous Experimentation on Component-based Software Architectures . In: <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>","bibtex":"@inproceedings{Gottschalk_Yigitbas_Engels_2022, title={Model-driven Continuous Experimentation on Component-based Software Architectures }, DOI={<a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>}, booktitle={Proceedings of the 18th International Conference on Software Architecture Companion }, publisher={IEEE}, author={Gottschalk, Sebastian and Yigitbas, Enes and Engels, Gregor}, year={2022} }","mla":"Gottschalk, Sebastian, et al. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .” <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>.","chicago":"Gottschalk, Sebastian, Enes Yigitbas, and Gregor Engels. “Model-Driven Continuous Experimentation on Component-Based Software Architectures .” In <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>. IEEE, 2022. <a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">https://doi.org/10.1109/ICSA-C54293.2022.00011</a>.","short":"S. Gottschalk, E. Yigitbas, G. Engels, in: Proceedings of the 18th International Conference on Software Architecture Companion , IEEE, 2022.","apa":"Gottschalk, S., Yigitbas, E., &#38; Engels, G. (2022). Model-driven Continuous Experimentation on Component-based Software Architectures . <i>Proceedings of the 18th International Conference on Software Architecture Companion </i>. 18th International Conference on Software Architecture , Hawaii. <a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">https://doi.org/10.1109/ICSA-C54293.2022.00011</a>","ieee":"S. Gottschalk, E. Yigitbas, and G. Engels, “Model-driven Continuous Experimentation on Component-based Software Architectures ,” presented at the 18th International Conference on Software Architecture , Hawaii, 2022, doi: <a href=\"https://doi.org/10.1109/ICSA-C54293.2022.00011\">10.1109/ICSA-C54293.2022.00011</a>."}},{"year":"2022","title":"AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development","author":[{"full_name":"Maalouly, Jad","last_name":"Maalouly","first_name":"Jad"},{"first_name":"Dennis","last_name":"Hemker","full_name":"Hemker, Dennis"},{"full_name":"Hedayat, Christian","last_name":"Hedayat","first_name":"Christian"},{"last_name":"Rückert","first_name":"Christian","full_name":"Rückert, Christian"},{"first_name":"Ivan","last_name":"Kaufmann","full_name":"Kaufmann, Ivan"},{"last_name":"Olbrich","first_name":"Marcel","full_name":"Olbrich, Marcel"},{"id":"38240","first_name":"Sven","last_name":"Lange","full_name":"Lange, Sven"},{"full_name":"Mathis, Harald","last_name":"Mathis","first_name":"Harald"}],"publication_identifier":{"eisbn":["978-3-948571-07-8"]},"date_updated":"2022-11-24T14:21:34Z","publication_status":"published","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9954484"}],"language":[{"iso":"eng"}],"publication":"2022 Kleinheubach Conference","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","keyword":["emc","pcb","electronic system development","machine learning","neural network"],"type":"conference","department":[{"_id":"59"},{"_id":"485"}],"status":"public","conference":{"name":"2022 Kleinheubach Conference","start_date":"2022-09-27","location":"Miltenberg, Germany","end_date":"2022-09-29"},"publisher":"IEEE","_id":"34140","user_id":"38240","citation":{"mla":"Maalouly, Jad, et al. “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development.” <i>2022 Kleinheubach Conference</i>, IEEE, 2022.","ama":"Maalouly J, Hemker D, Hedayat C, et al. AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. In: <i>2022 Kleinheubach Conference</i>. IEEE; 2022.","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} }","apa":"Maalouly, J., Hemker, D., Hedayat, C., Rückert, C., Kaufmann, I., Olbrich, M., Lange, S., &#38; Mathis, H. (2022). AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development. <i>2022 Kleinheubach Conference</i>. 2022 Kleinheubach Conference, Miltenberg, Germany.","ieee":"J. Maalouly <i>et al.</i>, “AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development,” presented at the 2022 Kleinheubach Conference, Miltenberg, Germany, 2022.","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.","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 <i>2022 Kleinheubach Conference</i>. Miltenberg, Germany: IEEE, 2022."},"project":[{"_id":"52","name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"place":"Miltenberg, Germany"},{"publication_status":"published","date_updated":"2022-10-04T11:37:39Z","author":[{"last_name":"Sander","first_name":"Tom","full_name":"Sander, Tom"},{"first_name":"Sven","last_name":"Lange","full_name":"Lange, Sven","id":"38240"},{"full_name":"Hilleringmann, Ulrich","last_name":"Hilleringmann","first_name":"Ulrich"},{"first_name":"Volker","last_name":"Geneiß","full_name":"Geneiß, Volker"},{"last_name":"Hedayat","first_name":"Christian","full_name":"Hedayat, Christian"},{"full_name":"Kuhn, Harald","last_name":"Kuhn","first_name":"Harald"}],"year":"2022","title":"Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods","doi":"10.1109/ssi56489.2022.9901433","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9901433"}],"abstract":[{"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).","lang":"eng"}],"publication":"2022 Smart Systems Integration (SSI)","department":[{"_id":"59"},{"_id":"485"}],"type":"conference","keyword":["Machine Learning","CNN","Hashing","semi-supervised learning"],"date_created":"2022-10-04T11:35:55Z","conference":{"end_date":"2022-04-28","location":"Grenoble, France","name":"2022 Smart Systems Integration (SSI)","start_date":"2022-04-27"},"status":"public","user_id":"38240","_id":"33510","publisher":"IEEE","project":[{"name":"PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"citation":{"apa":"Sander, T., Lange, S., Hilleringmann, U., Geneiß, V., Hedayat, C., &#38; Kuhn, H. (2022). Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods. <i>2022 Smart Systems Integration (SSI)</i>. 2022 Smart Systems Integration (SSI), Grenoble, France. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">https://doi.org/10.1109/ssi56489.2022.9901433</a>","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: <a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>.","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 <i>2022 Smart Systems Integration (SSI)</i>. Grenoble, France: IEEE, 2022. <a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">https://doi.org/10.1109/ssi56489.2022.9901433</a>.","short":"T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.","mla":"Sander, Tom, et al. “Detection of Defects on Irregularly Structured Surfaces Using Supervised and Semi-Supervised Learning Methods.” <i>2022 Smart Systems Integration (SSI)</i>, IEEE, 2022, doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>.","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: <i>2022 Smart Systems Integration (SSI)</i>. IEEE; 2022. doi:<a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>","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={<a href=\"https://doi.org/10.1109/ssi56489.2022.9901433\">10.1109/ssi56489.2022.9901433</a>}, 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} }"},"place":"Grenoble, France"},{"citation":{"ieee":"C. Caruso and A. Seifert, “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?,” <i>Österreichische Religionspädagogische Forum</i>, vol. 30, no. 1, pp. 239–260, 2022, doi: <a href=\"https://doi.org/10.30:2022.1.14\">10.30:2022.1.14</a>.","apa":"Caruso, C., &#38; Seifert, A. (2022).  Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? <i>Österreichische Religionspädagogische Forum</i>, <i>30</i>(1), 239–260. <a href=\"https://doi.org/10.30:2022.1.14\">https://doi.org/10.30:2022.1.14</a>","chicago":"Caruso, Carina, and Andreas Seifert. “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?” <i>Österreichische Religionspädagogische Forum</i> 30, no. 1 (2022): 239–60. <a href=\"https://doi.org/10.30:2022.1.14\">https://doi.org/10.30:2022.1.14</a>.","short":"C. Caruso, A. Seifert, Österreichische Religionspädagogische Forum 30 (2022) 239–260.","mla":"Caruso, Carina, and Andreas Seifert. “ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?” <i>Österreichische Religionspädagogische Forum</i>, vol. 30, no. 1, Universitätsbibliothek Graz, 2022, pp. 239–60, doi:<a href=\"https://doi.org/10.30:2022.1.14\">10.30:2022.1.14</a>.","bibtex":"@article{Caruso_Seifert_2022, title={ Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?}, volume={30}, DOI={<a href=\"https://doi.org/10.30:2022.1.14\">10.30:2022.1.14</a>}, number={1}, journal={Österreichische Religionspädagogische Forum}, publisher={Universitätsbibliothek Graz}, author={Caruso, Carina and Seifert, Andreas}, year={2022}, pages={239–260} }","ama":"Caruso C, Seifert A.  Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch? <i>Österreichische Religionspädagogische Forum</i>. 2022;30(1):239-260. doi:<a href=\"https://doi.org/10.30:2022.1.14\">10.30:2022.1.14</a>"},"status":"public","_id":"35136","publisher":"Universitätsbibliothek Graz","page":"239-260","volume":30,"user_id":"86519","issue":"1","publication":"Österreichische Religionspädagogische Forum","abstract":[{"lang":"ger","text":"Im Zentrum dieses Beitrags stehen Ergebnisse der Messung pädagogischer Kompetenzen Studierender der Theologie, die das Praxissemester in Deutschland absolviert haben. Das bildungswissenschaftliche Wissen, Kompetenzselbsteinschätzungen und ihre Entwicklung sowie die Einschätzung der im Praxissemester erreichten Ziele Studierender werden dabei unter Berücksichtigung der Ausrichtung des Lehramtsstudiums auf eine Schulform betrachtet. Um die Ergebnisse der Messung bildungswissenschaftlichen Wissens und die der Messung von Kompetenzselbsteinschätzungen zu kontextualisieren (N = 304), wird zuerst die Relevanz des (bildungswissenschaftlichen) Wissens als Ausgangspunkt des Könnens herausgearbeitet. Daran anschließend werden Befunde zur schulformspezifischen Professionalisierung resümiert. Anschließend werden Hypothesen hergeleitet, die Anlage der Studie sowie die Testinstrumente vorge- stellt, die Ergebnisse präsentiert und diskutiert. Die Ergebnisse zeigen wider Erwarten, dass sich weder das bildungswissenschaftliche Wissen, die Kompetenzselbsteinschätzungen und ihre Entwicklung noch die Einschätzung der im Praxissemester erreichten Ziele angehender Lehrkräfte in Abhängigkeit der Schulformen unterscheiden. Die Diskussion bezieht sich u.a. auf die Struktur der Lehramtsstudiengänge, die Denkfiguren zur Entwicklung von Können und die Konzeption der Messinstrumente.\r\n"},{"lang":"eng","text":"The focus of this article are the results of the measurement of pedagogical competencies of students of theology who have completed an internship in Germany. The educational knowledge, competence self-assessments and their development as well as the assessment of the goals achieved by students in the internship are considered, taking into account the orientation of the teacher education course towards a school type. In order to contextualize the results of the measurement of educational knowledge and those of the survey of competence self-assessments (N = 304), ideas are shown how the relationship between knowledge and ability is constituted and findings on the type of school-specific professionalization are summarized. Subsequently, hypotheses are derived, the design of the study, the method and the test instruments are described, the results are presented and discussed. Contrary to expectations, the results show that neither the educational science knowledge, the competence self-assessments and their development nor the assessment of the goals achieved in the internship by pros- pective teachers differ depending on the type of school. The discussion relates to on the structure of the teacher training courses, the mental figures for the development of skills and the conception of the measuring instruments.\r\n"}],"date_created":"2023-01-03T12:41:20Z","keyword":["Bildungswissenschaftliches Wissen","Kompetenzmessung","Kompetenzselbsteinschätzung","Praxissemester","Professionalisierung / competence measurement","competence self-assessment","educational knowledge","internship","professionalization"],"type":"journal_article","publication_identifier":{"issn":["1018-1539"]},"author":[{"id":"23123","full_name":"Caruso, Carina","first_name":"Carina","last_name":"Caruso"},{"full_name":"Seifert, Andreas","last_name":"Seifert","first_name":"Andreas"}],"year":"2022","title":" Inwiefern ist die Professionalisierung in Praxisphasen schulformspezifisch?","intvolume":"        30","date_updated":"2023-01-06T12:08:14Z","publication_status":"published","language":[{"iso":"ger"}],"alternative_title":["Ergebnisse der Messung pädagogischer Kompetenzen Studierender in Deutschland"],"doi":"10.30:2022.1.14"},{"citation":{"apa":"Caruso, C., &#38; Seifert, A. (2022). Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen. <i>Religionspädagogische Beiträge. Journal for Religion in Education </i>, <i>45</i>(1), 3–15. <a href=\"https://doi.org/10.20377/rpb-101\">https://doi.org/10.20377/rpb-101</a>","ieee":"C. Caruso and A. Seifert, “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen,” <i>Religionspädagogische Beiträge. Journal for Religion in Education </i>, vol. 45, no. 1, pp. 3–15, 2022, doi: <a href=\"https://doi.org/10.20377/rpb-101\">10.20377/rpb-101</a>.","short":"C. Caruso, A. Seifert, Religionspädagogische Beiträge. Journal for Religion in Education  45 (2022) 3–15.","chicago":"Caruso, Carina, and Andreas Seifert. “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen.” <i>Religionspädagogische Beiträge. Journal for Religion in Education </i> 45, no. 1 (2022): 3–15. <a href=\"https://doi.org/10.20377/rpb-101\">https://doi.org/10.20377/rpb-101</a>.","mla":"Caruso, Carina, and Andreas Seifert. “Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen.” <i>Religionspädagogische Beiträge. Journal for Religion in Education </i>, vol. 45, no. 1, University of Bamberg Press, 2022, pp. 3–15, doi:<a href=\"https://doi.org/10.20377/rpb-101\">10.20377/rpb-101</a>.","ama":"Caruso C, Seifert A. Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen. <i>Religionspädagogische Beiträge Journal for Religion in Education </i>. 2022;45(1):3-15. doi:<a href=\"https://doi.org/10.20377/rpb-101\">10.20377/rpb-101</a>","bibtex":"@article{Caruso_Seifert_2022, title={Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen}, volume={45}, DOI={<a href=\"https://doi.org/10.20377/rpb-101\">10.20377/rpb-101</a>}, number={1}, journal={Religionspädagogische Beiträge. Journal for Religion in Education }, publisher={University of Bamberg Press}, author={Caruso, Carina and Seifert, Andreas}, year={2022}, pages={3–15} }"},"page":"3-15","_id":"35137","publisher":"University of Bamberg Press","user_id":"86519","volume":45,"status":"public","date_created":"2023-01-03T12:45:09Z","keyword":["Bildungswissenschaftliches Wissen","Kompetenzmessung","Kompetenzselbsteinschätzung","Praxissemester","Professionalisierung / competence measurement","competence self-assessment","educational knowledge","internship","professionalization"],"type":"journal_article","publication":"Religionspädagogische Beiträge. Journal for Religion in Education ","issue":"1","abstract":[{"text":"Im Zentrum dieses Beitrags stehen Ergebnisse der Messung pädagogischer Kompetenzen Studierender. Dabei werden sowohl das bildungswissenschaftliche Wissen als auch die Entwicklung der Kompe­tenzselbsteinschätzungen in den Bereichen Unterrichten, Erziehen, Beurteilen und Innovieren unter Berücksichtigung individueller Voraussetzungen (Alter, Geschlecht, Abiturnote, Bachelornote, Konfession) betrachtet. Um die Ergeb­nisse hinsichtlich ihrer Bedeutung für die Professionalisierung angehender Lehrkräfte diskutieren zu können, wird, den empirischen Erkenntnissen voranstehend, die Bedeutung von Wissen für berufliches Können herausgearbeitet. Daran anschließend werden Hypothesen hergeleitet, die Anlage der Studie sowie die Testinstrumente vorgestellt, die Ergebnisse präsentiert und diskutiert. Die Ergebnisse zeigen, dass die Abitur- und Bachelornote die Varianz hinsichtlich des pädagogischen Wissens aufklären, sich eine signifikante Entwicklung der Kompetenzselbsteinschätzungen angehender Lehrkräfte feststellen lässt, aber sich angehende Religionslehrkräfte kaum von anderen Studierenden unterscheiden. Die Diskussion nimmt u. a. Rückbezug auf die Denkfiguren zur Entwicklung berufli­chen Könnens und benennt Limitationen, die mit der Studie und Kompetenzmessungen verbunden sind. Daran schließt die Formulierung eines Ausblicks an. Der Beitrag zielt insbesondere darauf, repräsentative Ergebnisse der Kompetenzmessung zu präsentieren und dabei potenzielle Einflussfaktoren auf die studentische Kompetenzent­wicklung zu beleuchten. Ein dadurch angereichertes Konglomerat belastbarer Erkenntnisse zielt darauf, langfristig zur Ableitung lehrerbildungsdidaktischer Überlegungen herangezogen werden zu können, die die studentische Professionalisierung unterstützen.","lang":"ger"},{"lang":"eng","text":"This paper focuses on the results of the measurement of pedagogical competences of students. In doing so,  both  the  knowledge  of  the  educational  sciences  and  the  development  of  competence  self-assessments  in  the  fields of teaching, education, assessment andinnovating are taken into account. The study makes use of the following individual requirements: age, sex, Abitur grade, Bachelor grade, Confession. In order to be able to discuss the re-sults regarding their importance for the professionalization of prospective teachers, the importance of knowledge for  professional  skills  is  highlighted,  preceded  by  empirical  findings.  Subsequently,  hypotheses  are  derived,  the  plan  of  the  study  as  well  as  the  test  instruments  are  presented,  the  results  presented  and  discussed.  The  results  show that the Abitur and Bachelor grades clarify the variance in pedagogical knowledge, that there is a significant development in the competence self-assessments of prospective teachers, and that prospective religious teachers are not different from other students. The discussion takes into account, among other things, the ideas for the devel-opment of professional skills and identifies limitations associated with the study. This is followed by the formula-tion of an outlook. The main aim of the paper is to present representative results of the competence measurement and  to  examine  potential  influencing  factors  on  student  competence  development.  A  conglomerate  of  resilient  knowledge enriched by this aims to be used in the long term to derive teacher training didactic considerations that support student professionalization."}],"language":[{"iso":"ger"}],"doi":"10.20377/rpb-101","year":"2022","title":"Pädagogische Kompetenz als Ausgangspunkt beruflichen Könnens!? Ergebnisse der Kompetenzmessung angehender Lehrkräfte unter Berücksichtigung individueller Voraussetzungen","author":[{"full_name":"Caruso, Carina","last_name":"Caruso","first_name":"Carina","id":"23123"},{"first_name":"Andreas","last_name":"Seifert","full_name":"Seifert, Andreas"}],"publication_identifier":{"issn":["2750 - 3941"]},"publication_status":"published","date_updated":"2023-01-06T12:21:07Z","intvolume":"        45"},{"language":[{"iso":"ger"}],"main_file_link":[{"url":"https://die-hochschullehre.de/articles/abstract/10.3278/HSL2248W/#downloads","open_access":"1"}],"doi":"http://doi.org/10.3278/HSL2248W","author":[{"id":"49071","full_name":"Auer, Thorsten Fabian","last_name":"Auer","first_name":"Thorsten Fabian"}],"publication_identifier":{"issn":["2199-8825"]},"year":"2022","title":"Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie","article_type":"original","intvolume":"         8","publication_status":"published","date_updated":"2023-11-23T08:06:46Z","date_created":"2023-05-05T17:19:24Z","department":[{"_id":"178"},{"_id":"184"}],"type":"journal_article","keyword":["learning objectives","academic performance","perception","teaching methods","experiment"],"publication":"die hochschullehre","issue":"1","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"}],"_id":"44529","page":"662-675","volume":8,"user_id":"49071","status":"public","oa":"1","citation":{"mla":"Auer, Thorsten Fabian. “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie.” <i>die hochschullehre</i>, vol. 8, no. 1, 2022, pp. 662–75, doi:<a href=\"http://doi.org/10.3278/HSL2248W\">http://doi.org/10.3278/HSL2248W</a>.","bibtex":"@article{Auer_2022, title={Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie}, volume={8}, DOI={<a href=\"http://doi.org/10.3278/HSL2248W\">http://doi.org/10.3278/HSL2248W</a>}, number={1}, journal={die hochschullehre}, author={Auer, Thorsten Fabian}, year={2022}, pages={662–675} }","ama":"Auer TF. Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie. <i>die hochschullehre</i>. 2022;8(1):662-675. doi:<a href=\"http://doi.org/10.3278/HSL2248W\">http://doi.org/10.3278/HSL2248W</a>","ieee":"T. F. Auer, “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie,” <i>die hochschullehre</i>, vol. 8, no. 1, pp. 662–675, 2022, doi: <a href=\"http://doi.org/10.3278/HSL2248W\">http://doi.org/10.3278/HSL2248W</a>.","apa":"Auer, T. F. (2022). Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie. <i>die hochschullehre</i>, <i>8</i>(1), 662–675. <a href=\"https://doi.org/10.3278/HSL2248W\">https://doi.org/10.3278/HSL2248W</a>","short":"T.F. Auer, die hochschullehre 8 (2022) 662–675.","chicago":"Auer, Thorsten Fabian. “Die Wirksamkeit von Lernzielen für Studienleistungen – eine experimentelle Studie.” <i>die hochschullehre</i> 8, no. 1 (2022): 662–75. <a href=\"https://doi.org/10.3278/HSL2248W\">https://doi.org/10.3278/HSL2248W</a>."},"quality_controlled":"1"},{"_id":"48878","publisher":"{Multidisciplinary Digital Publishing Institute}","page":"9094","volume":12,"user_id":"102979","status":"public","citation":{"ama":"Clever L, Pohl JS, Bossek J, Kerschke P, Trautmann H. Process-Oriented Stream Classification Pipeline: A Literature Review. <i>Applied Sciences</i>. 2022;12(18):9094. doi:<a href=\"https://doi.org/10.3390/app12189094\">10.3390/app12189094</a>","bibtex":"@article{Clever_Pohl_Bossek_Kerschke_Trautmann_2022, title={Process-Oriented Stream Classification Pipeline: A Literature Review}, volume={12}, DOI={<a href=\"https://doi.org/10.3390/app12189094\">10.3390/app12189094</a>}, 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.” <i>Applied Sciences</i>, vol. 12, no. 18, {Multidisciplinary Digital Publishing Institute}, 2022, p. 9094, doi:<a href=\"https://doi.org/10.3390/app12189094\">10.3390/app12189094</a>.","chicago":"Clever, Lena, Janina Susanne Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Process-Oriented Stream Classification Pipeline: A Literature Review.” <i>Applied Sciences</i> 12, no. 18 (2022): 9094. <a href=\"https://doi.org/10.3390/app12189094\">https://doi.org/10.3390/app12189094</a>.","short":"L. Clever, J.S. Pohl, J. Bossek, P. Kerschke, H. Trautmann, Applied Sciences 12 (2022) 9094.","apa":"Clever, L., Pohl, J. S., Bossek, J., Kerschke, P., &#38; Trautmann, H. (2022). Process-Oriented Stream Classification Pipeline: A Literature Review. <i>Applied Sciences</i>, <i>12</i>(18), 9094. <a href=\"https://doi.org/10.3390/app12189094\">https://doi.org/10.3390/app12189094</a>","ieee":"L. Clever, J. S. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Process-Oriented Stream Classification Pipeline: A Literature Review,” <i>Applied Sciences</i>, vol. 12, no. 18, p. 9094, 2022, doi: <a href=\"https://doi.org/10.3390/app12189094\">10.3390/app12189094</a>."},"language":[{"iso":"eng"}],"doi":"10.3390/app12189094","publication_identifier":{"issn":["2076-3417"]},"author":[{"full_name":"Clever, Lena","last_name":"Clever","first_name":"Lena"},{"first_name":"Janina Susanne","last_name":"Pohl","full_name":"Pohl, Janina Susanne"},{"orcid":"0000-0002-4121-4668","last_name":"Bossek","first_name":"Jakob","full_name":"Bossek, Jakob","id":"102979"},{"first_name":"Pascal","last_name":"Kerschke","full_name":"Kerschke, Pascal"},{"last_name":"Trautmann","first_name":"Heike","full_name":"Trautmann, Heike"}],"year":"2022","title":"Process-Oriented Stream Classification Pipeline: A Literature Review","intvolume":"        12","date_updated":"2023-12-13T10:50:56Z","date_created":"2023-11-14T15:58:57Z","department":[{"_id":"819"}],"type":"journal_article","keyword":["big data","data mining","data stream analysis","machine learning","stream classification","supervised learning"],"issue":"18","publication":"Applied Sciences","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"}]},{"status":"public","volume":8,"user_id":"86519","publisher":"wbv ","_id":"35111","page":"299–312","citation":{"mla":"Bloh, Thiemo, and Carina Caruso. “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung.” <i>die hochschullehre</i>, vol. 8, no. 21, wbv , 2022, pp. 299–312, doi:<a href=\"https://doi.org/10.3278/HSL2221W\">10.3278/HSL2221W</a>.","bibtex":"@article{Bloh_Caruso_2022, title={Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung}, volume={8}, DOI={<a href=\"https://doi.org/10.3278/HSL2221W\">10.3278/HSL2221W</a>}, number={21}, journal={die hochschullehre}, publisher={wbv }, author={Bloh, Thiemo and Caruso, Carina}, year={2022}, pages={299–312} }","ama":"Bloh T, Caruso C. Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung. <i>die hochschullehre</i>. 2022;8(21):299–312. doi:<a href=\"https://doi.org/10.3278/HSL2221W\">10.3278/HSL2221W</a>","ieee":"T. Bloh and C. Caruso, “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung,” <i>die hochschullehre</i>, vol. 8, no. 21, pp. 299–312, 2022, doi: <a href=\"https://doi.org/10.3278/HSL2221W\">10.3278/HSL2221W</a>.","apa":"Bloh, T., &#38; Caruso, C. (2022). Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung. <i>die hochschullehre</i>, <i>8</i>(21), 299–312. <a href=\"https://doi.org/10.3278/HSL2221W\">https://doi.org/10.3278/HSL2221W</a>","chicago":"Bloh, Thiemo, and Carina Caruso. “Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung.” <i>die hochschullehre</i> 8, no. 21 (2022): 299–312. <a href=\"https://doi.org/10.3278/HSL2221W\">https://doi.org/10.3278/HSL2221W</a>.","short":"T. Bloh, C. Caruso, die hochschullehre 8 (2022) 299–312."},"intvolume":"         8","publication_status":"published","date_updated":"2024-03-27T20:02:14Z","publication_identifier":{"issn":["2199-8825"]},"author":[{"full_name":"Bloh, Thiemo","last_name":"Bloh","first_name":"Thiemo","orcid":"0000-0002-2215-2924","id":"69383"},{"id":"23123","first_name":"Carina","last_name":"Caruso","full_name":"Caruso, Carina"}],"year":"2022","title":"Ein kritisch-multiperspektivischer Blick auf Forschendes Lernen in der Lehrkräftebildung","alternative_title":[" Fragen, Erwägungen und Rekonstruktionen"],"doi":"10.3278/HSL2221W","language":[{"iso":"ger"}],"abstract":[{"lang":"ger","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":"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."}],"issue":"21","publication":"die hochschullehre","type":"journal_article","keyword":["Forschendes Lernen","Lehrer:innenausbildung","Praxissemester","Professionalisierung / Research-based learning","teacher education","internships","professionalization"],"date_created":"2023-01-02T13:38:50Z"},{"quality_controlled":"1","citation":{"chicago":"Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i> 32 (2022): 375–96. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>.","short":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic Markets 32 (2022) 375–396.","ieee":"C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing the lexicon of platforms in information systems: a data-driven study,” <i>Electronic Markets</i>, vol. 32, pp. 375–396, 2022, doi: <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>.","apa":"Bartelheimer, C., zur Heiden, P., Lüttenberg, H., &#38; Beverungen, D. (2022). Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>, <i>32</i>, 375–396. <a href=\"https://doi.org/10.1007/s12525-022-00530-6\">https://doi.org/10.1007/s12525-022-00530-6</a>","bibtex":"@article{Bartelheimer_zur Heiden_Lüttenberg_Beverungen_2022, title={Systematizing the lexicon of platforms in information systems: a data-driven study}, volume={32}, DOI={<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>}, journal={Electronic Markets}, publisher={Springer Science and Business Media LLC}, author={Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}, year={2022}, pages={375–396} }","ama":"Bartelheimer C, zur Heiden P, Lüttenberg H, Beverungen D. Systematizing the lexicon of platforms in information systems: a data-driven study. <i>Electronic Markets</i>. 2022;32:375-396. doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>","mla":"Bartelheimer, Christian, et al. “Systematizing the Lexicon of Platforms in Information Systems: A Data-Driven Study.” <i>Electronic Markets</i>, vol. 32, Springer Science and Business Media LLC, 2022, pp. 375–96, doi:<a href=\"https://doi.org/10.1007/s12525-022-00530-6\">10.1007/s12525-022-00530-6</a>."},"file_date_updated":"2024-04-18T12:39:00Z","volume":32,"ddc":["380"],"user_id":"59677","_id":"35732","publisher":"Springer Science and Business Media LLC","page":"375-396","has_accepted_license":"1","jel":["L86"],"status":"public","department":[{"_id":"526"}],"type":"journal_article","keyword":["Platform","Text mining","Machine learning","Data communications","Interpretive research","Systems design and implementation"],"date_created":"2023-01-10T10:00:55Z","file":[{"date_created":"2024-04-18T12:39:00Z","creator":"dabe","content_type":"application/pdf","success":1,"file_id":"53573","file_size":1262427,"access_level":"closed","file_name":"EM - Lexicon of Platform Terms.pdf","date_updated":"2024-04-18T12:39:00Z","relation":"main_file"}],"abstract":[{"text":"While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.","lang":"eng"}],"publication":"Electronic Markets","doi":"10.1007/s12525-022-00530-6","language":[{"iso":"eng"}],"intvolume":"        32","article_type":"original","date_updated":"2024-04-18T12:40:34Z","publication_status":"published","publication_identifier":{"issn":["1019-6781","1422-8890"]},"author":[{"full_name":"Bartelheimer, Christian","first_name":"Christian","last_name":"Bartelheimer","id":"49160"},{"id":"64394","first_name":"Philipp","last_name":"zur Heiden","full_name":"zur Heiden, Philipp"},{"full_name":"Lüttenberg, Hedda","last_name":"Lüttenberg","first_name":"Hedda"},{"full_name":"Beverungen, Daniel","last_name":"Beverungen","first_name":"Daniel","id":"59677"}],"year":"2022","title":"Systematizing the lexicon of platforms in information systems: a data-driven study"},{"abstract":[{"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.","lang":"eng"}],"publication":"International Conference on Human-Agent Interaction","department":[{"_id":"574"},{"_id":"760"}],"keyword":["human-agent interaction","smart homes","supervised learning","participation"],"type":"conference","date_created":"2022-12-21T09:48:43Z","file":[{"file_size":1151728,"access_level":"closed","file_name":"User_Involvement_in_Training_Smart_Home_Agents_public.pdf","date_updated":"2024-05-30T18:04:31Z","relation":"main_file","content_type":"application/pdf","success":1,"file_id":"54524","creator":"heindorf","date_created":"2024-05-30T18:04:31Z"}],"publication_status":"published","date_updated":"2024-05-30T18:04:45Z","author":[{"id":"93402","last_name":"Sieger","first_name":"Leonie Nora","full_name":"Sieger, Leonie Nora"},{"full_name":"Hermann, Julia","first_name":"Julia","last_name":"Hermann"},{"last_name":"Schomäcker","first_name":"Astrid","full_name":"Schomäcker, Astrid"},{"full_name":"Heindorf, Stefan","first_name":"Stefan","last_name":"Heindorf","orcid":"0000-0002-4525-6865","id":"11871"},{"last_name":"Meske","first_name":"Christian","full_name":"Meske, Christian"},{"last_name":"Hey","first_name":"Celine-Chiara","full_name":"Hey, Celine-Chiara"},{"full_name":"Doğangün, Ayşegül","last_name":"Doğangün","first_name":"Ayşegül"}],"year":"2022","title":"User Involvement in Training Smart Home Agents","alternative_title":["Increasing Perceived Control and Understanding"],"doi":"10.1145/3527188.3561914","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://papers.dice-research.org/2022/HAI_SmartHome/User_Involvement_in_Training_Smart_Home_Agents_public.pdf"}],"project":[{"_id":"121","grant_number":"438445824","name":"TRR 318 - B1: TRR 318 - Subproject B1"}],"quality_controlled":"1","citation":{"ieee":"L. N. Sieger <i>et al.</i>, “User Involvement in Training Smart Home Agents,” presented at the HAI ’22: International Conference on Human-Agent Interaction, Christchurch, New Zealand, 2022, doi: <a href=\"https://doi.org/10.1145/3527188.3561914\">10.1145/3527188.3561914</a>.","apa":"Sieger, L. N., Hermann, J., Schomäcker, A., Heindorf, S., Meske, C., Hey, C.-C., &#38; Doğangün, A. (2022). User Involvement in Training Smart Home Agents. <i>International Conference on Human-Agent Interaction</i>. HAI ’22: International Conference on Human-Agent Interaction, Christchurch, New Zealand. <a href=\"https://doi.org/10.1145/3527188.3561914\">https://doi.org/10.1145/3527188.3561914</a>","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 <i>International Conference on Human-Agent Interaction</i>. ACM, 2022. <a href=\"https://doi.org/10.1145/3527188.3561914\">https://doi.org/10.1145/3527188.3561914</a>.","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.","mla":"Sieger, Leonie Nora, et al. “User Involvement in Training Smart Home Agents.” <i>International Conference on Human-Agent Interaction</i>, ACM, 2022, doi:<a href=\"https://doi.org/10.1145/3527188.3561914\">10.1145/3527188.3561914</a>.","bibtex":"@inproceedings{Sieger_Hermann_Schomäcker_Heindorf_Meske_Hey_Doğangün_2022, title={User Involvement in Training Smart Home Agents}, DOI={<a href=\"https://doi.org/10.1145/3527188.3561914\">10.1145/3527188.3561914</a>}, 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} }","ama":"Sieger LN, Hermann J, Schomäcker A, et al. User Involvement in Training Smart Home Agents. In: <i>International Conference on Human-Agent Interaction</i>. ACM; 2022. doi:<a href=\"https://doi.org/10.1145/3527188.3561914\">10.1145/3527188.3561914</a>"},"file_date_updated":"2024-05-30T18:04:31Z","oa":"1","has_accepted_license":"1","conference":{"end_date":"2022-12-08","location":"Christchurch, New Zealand","start_date":"2022-12-05","name":"HAI '22: International Conference on Human-Agent Interaction"},"status":"public","user_id":"11871","ddc":["000"],"_id":"34674","publisher":"ACM"},{"citation":{"chicago":"Janicki, Nicole. “Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern.” In <i>Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. </i>, edited by Martin Binder, Christian Wiesmüller, and Timo Finkbeiner, 266–86, 2022.","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.","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, &#38; T. Finkbeiner (Eds.), <i>Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. </i> (pp. 266–286).","ieee":"N. Janicki, “Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern,” in <i>Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. </i>, 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. <i>Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. </i>. ; 2022:266-286.","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} }","mla":"Janicki, Nicole. “Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern.” <i>Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. </i>, edited by Martin Binder et al., 2022, pp. 266–86."},"publication":"Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. ","department":[{"_id":"588"}],"keyword":["technology education","teacher professionalisation","Computational Thinking","digitalization","learning robots"],"type":"book_chapter","date_created":"2023-01-22T14:09:52Z","publication_status":"published","date_updated":"2023-01-25T11:50:51Z","publication_identifier":{"unknown":["978-3-947868-03-2"]},"author":[{"full_name":"Janicki, Nicole","first_name":"Nicole","last_name":"Janicki","id":"50915"}],"conference":{"name":"23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung","start_date":"24.09.2021","location":"Mannheim","end_date":"25.09.2021"},"status":"public","year":"2022","title":"Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern","editor":[{"last_name":"Binder","first_name":"Martin","full_name":"Binder, Martin"},{"full_name":"Wiesmüller, Christian","first_name":"Christian","last_name":"Wiesmüller"},{"first_name":"Timo","last_name":"Finkbeiner","full_name":"Finkbeiner, Timo"}],"user_id":"50915","_id":"37902","language":[{"iso":"ger"}],"page":"266-286"}]
