--- _id: '35202' abstract: - lang: eng text: "Purpose: This study aims at investigating how digitalisation (in the sense of industry 4.0) has changed the work of farmers and how they experience the changes from more traditional work to digitalised agriculture. It also investigates what knowledge farmers require on digitalised farms and how they acquire it. Dairy farming was used as domain of investigation since it, unlike other industries, has strongly been affected by digitalisation throughout the last years.\r\n\r\nMethod: Exploratory interviews with 10 livestock farmers working on digitalised dairy farms were analysed using qualitative content analysis. A deductive and inductive coding strategy was used. \r\n\r\nFindings: Farming work has changed from more manual tasks towards symbol manipulation and data processing. Farmers must be able to use computers and other digital devices to retrieve and analyse sensor data that allow them to monitor and control the processes on their farm. For this new kind of work, farmers require elaborated mental models that link traditional farming knowledge with knowledge about digital systems, including a strong understanding of production processes underlying their farm. Learning is mostly based on instructions offered by manufacturers of the new technology as well as informal and non-formal learning modes. Even younger farmers report that digital technology was not sufficiently covered in their (vocational) degrees. In general, farmers emphasises the positive effects of digitalisation both on their working as well as private life. \r\n\r\nConclusions: Farmers should be aware of the opportunities as well as the potential drawbacks of the digitalisation of work processes in agriculture. Providers of agricultural education (like vocational schools or training institutes) need to incorporate the knowledge and skills required to work in digitalised environments (e.g., data literacy) in their syllabi. Further studies are required to assess how digitalisation changes farming practices and what knowledge as well as skills linked to these developments are required in the future." author: - first_name: Michael full_name: Goller, Michael id: '30984' last_name: Goller orcid: 0000-0002-2820-9178 - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso - first_name: Christian full_name: Harteis, Christian id: '27503' last_name: Harteis orcid: https://orcid.org/0000-0002-3570-7626 citation: ama: 'Goller M, Caruso C, Harteis C. Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers. International Journal for Research in Vocational Education and Training. 2021;8(2):208–223. doi:10.13152/IJRVET.8.2.4.' apa: 'Goller, M., Caruso, C., & Harteis, C. (2021). Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers. International Journal for Research in Vocational Education and Training, 8(2), 208–223. https://doi.org/10.13152/IJRVET.8.2.4.' bibtex: '@article{Goller_Caruso_Harteis_2021, title={Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers}, volume={8}, DOI={10.13152/IJRVET.8.2.4.}, number={2}, journal={International Journal for Research in Vocational Education and Training}, author={Goller, Michael and Caruso, Carina and Harteis, Christian}, year={2021}, pages={208–223} }' chicago: 'Goller, Michael, Carina Caruso, and Christian Harteis. “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers.” International Journal for Research in Vocational Education and Training 8, no. 2 (2021): 208–223. https://doi.org/10.13152/IJRVET.8.2.4.' ieee: 'M. Goller, C. Caruso, and C. Harteis, “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers,” International Journal for Research in Vocational Education and Training, vol. 8, no. 2, pp. 208–223, 2021, doi: 10.13152/IJRVET.8.2.4.' mla: 'Goller, Michael, et al. “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers.” International Journal for Research in Vocational Education and Training, vol. 8, no. 2, 2021, pp. 208–223, doi:10.13152/IJRVET.8.2.4.' short: M. Goller, C. Caruso, C. Harteis, International Journal for Research in Vocational Education and Training 8 (2021) 208–223. date_created: 2023-01-04T10:08:59Z date_updated: 2023-01-06T12:17:27Z doi: 10.13152/IJRVET.8.2.4. intvolume: ' 8' issue: '2' keyword: - Work-Based Learning - Organisational Change - Digital Competences - Qualitative Research - Digitalisation - Farming - Dairy - VET - Vocational Education and Training language: - iso: eng page: 208–223 publication: International Journal for Research in Vocational Education and Training publication_identifier: issn: - 2197-8646 publication_status: published status: public title: 'Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers' type: journal_article user_id: '86519' volume: 8 year: '2021' ... --- _id: '35464' abstract: - lang: eng text: 'The digital transformation of organizations in the industrial sector is primarily driven by the opportunity to increase productivity while simultaneously reducing costs through integration into a cyber-physical system. One way to fully tap the potential of a cyber-physical system is the concept of the digital twin, i.e., the real-time digital representation of machines and resources involved – including human resources. The vision of representing humans by digital twins primarily aims at increasing economic benefits. The digital twin of a human, however, cannot be designed in a similar way to that of a machine. The human digital twin shall rather enable humans to act within the cyber-physical system. It therefore offers humans a power of control and the opportunity to provide feedback. The concept of the digital twin is still in its infancy and raises many questions in particular from an educational perspective. The contribution aims at answering the following questions and refers to the example of team learning: Which and how much data should and may the digital twin contain in order to support humans in their learning? To what extent will humans be able to control and design their own learning? How may skills, experiences, and social interactions of humans be represented in the digital twin; their growth and further development, respectively? With cyber-physical systems transcending corporate, national, and legal boundaries, what learning culture will be the frame of reference for the involved organizations?' author: - first_name: ' Angelina' full_name: Berisha-Gawlowski, Angelina last_name: Berisha-Gawlowski - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso - first_name: Christian full_name: Harteis, Christian id: '27503' last_name: Harteis orcid: https://orcid.org/0000-0002-3570-7626 citation: ama: 'Berisha-Gawlowski Angelina, Caruso C, Harteis C. The Concept of a Digital Twin and Its Potential for Learning Organizations. In: Ifenthaler D, Hofhues S, Egloffstein M, Helbig C, eds. Digital Transformation of Learning Organizations  . Springer; 2021:95–114. doi:10.1007/978-3-030-55878-9_6' apa: Berisha-Gawlowski, Angelina, Caruso, C., & Harteis, C. (2021). The Concept of a Digital Twin and Its Potential for Learning Organizations. In D. Ifenthaler, S. Hofhues, M. Egloffstein, & C. Helbig (Eds.), Digital Transformation of Learning Organizations  (pp. 95–114). Springer. https://doi.org/10.1007/978-3-030-55878-9_6 bibtex: '@inbook{Berisha-Gawlowski_Caruso_Harteis_2021, place={Cham}, title={The Concept of a Digital Twin and Its Potential for Learning Organizations}, DOI={10.1007/978-3-030-55878-9_6}, booktitle={Digital Transformation of Learning Organizations  }, publisher={Springer}, author={Berisha-Gawlowski, Angelina and Caruso, Carina and Harteis, Christian}, editor={Ifenthaler, Dirk and Hofhues, Sandra and Egloffstein, Marc and Helbig, Christian}, year={2021}, pages={95–114} }' chicago: 'Berisha-Gawlowski, Angelina, Carina Caruso, and Christian Harteis. “The Concept of a Digital Twin and Its Potential for Learning Organizations.” In Digital Transformation of Learning Organizations  , edited by Dirk Ifenthaler, Sandra Hofhues, Marc Egloffstein, and Christian Helbig, 95–114. Cham: Springer, 2021. https://doi.org/10.1007/978-3-030-55878-9_6.' ieee: 'Angelina Berisha-Gawlowski, C. Caruso, and C. Harteis, “The Concept of a Digital Twin and Its Potential for Learning Organizations,” in Digital Transformation of Learning Organizations  , D. Ifenthaler, S. Hofhues, M. Egloffstein, and C. Helbig, Eds. Cham: Springer, 2021, pp. 95–114.' mla: Berisha-Gawlowski, Angelina, et al. “The Concept of a Digital Twin and Its Potential for Learning Organizations.” Digital Transformation of Learning Organizations  , edited by Dirk Ifenthaler et al., Springer, 2021, pp. 95–114, doi:10.1007/978-3-030-55878-9_6. short: 'Angelina Berisha-Gawlowski, C. Caruso, C. Harteis, in: D. Ifenthaler, S. Hofhues, M. Egloffstein, C. Helbig (Eds.), Digital Transformation of Learning Organizations  , Springer, Cham, 2021, pp. 95–114.' date_created: 2023-01-09T10:38:42Z date_updated: 2023-01-09T10:39:26Z doi: 10.1007/978-3-030-55878-9_6 editor: - first_name: Dirk full_name: Ifenthaler, Dirk last_name: Ifenthaler - first_name: Sandra full_name: Hofhues, Sandra last_name: Hofhues - first_name: Marc full_name: Egloffstein, Marc last_name: Egloffstein - first_name: Christian full_name: Helbig, Christian last_name: Helbig keyword: - Digital twin - Learning organization - Change - Team learning - Professional development language: - iso: eng page: ' 95–114' place: Cham publication: 'Digital Transformation of Learning Organizations ' publication_identifier: eisbn: - 978-3-030-55878-9 isbn: - 978-3-030-55877-2 publication_status: published publisher: Springer status: public title: The Concept of a Digital Twin and Its Potential for Learning Organizations type: book_chapter user_id: '86519' year: '2021' ... --- _id: '35889' abstract: - lang: eng text: Network and service coordination is important to provide modern services consisting of multiple interconnected components, e.g., in 5G, network function virtualization (NFV), or cloud and edge computing. In this paper, I outline my dissertation research, which proposes six approaches to automate such network and service coordination. All approaches dynamically react to the current demand and optimize coordination for high service quality and low costs. The approaches range from centralized to distributed methods and from conventional heuristic algorithms and mixed-integer linear programs to machine learning approaches using supervised and reinforcement learning. I briefly discuss their main ideas and advantages over other state-of-the-art approaches and compare strengths and weaknesses. author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 citation: ama: Schneider SB. Conventional and Machine Learning Approaches for Network and Service Coordination.; 2021. apa: Schneider, S. B. (2021). Conventional and Machine Learning Approaches for Network and Service Coordination. bibtex: '@book{Schneider_2021, title={Conventional and Machine Learning Approaches for Network and Service Coordination}, author={Schneider, Stefan Balthasar}, year={2021} }' chicago: Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination, 2021. ieee: S. B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination. 2021. mla: Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination. 2021. short: S.B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination, 2021. date_created: 2023-01-10T15:08:50Z date_updated: 2023-01-10T15:09:05Z ddc: - '004' department: - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2023-01-10T15:07:03Z date_updated: 2023-01-10T15:07:03Z file_id: '35890' file_name: main.pdf file_size: 133340 relation: main_file file_date_updated: 2023-01-10T15:07:03Z has_accepted_license: '1' keyword: - nfv - coordination - machine learning - reinforcement learning - phd - digest language: - iso: eng oa: '1' project: - _id: '1' name: 'SFB 901: SFB 901' - _id: '4' name: 'SFB 901 - C: SFB 901 - Project Area C' - _id: '16' name: 'SFB 901 - C4: SFB 901 - Subproject C4' status: public title: Conventional and Machine Learning Approaches for Network and Service Coordination type: working_paper user_id: '35343' year: '2021' ... --- _id: '24547' abstract: - lang: eng text: 'Over the last years, several approaches for the data-driven estimation of expected possession value (EPV) in basketball and association football (soccer) have been proposed. In this paper, we develop and evaluate PIVOT: the first such framework for team handball. Accounting for the fast-paced, dynamic nature and relative data scarcity of hand- ball, we propose a parsimonious end-to-end deep learning architecture that relies solely on tracking data. This efficient approach is capable of predicting the probability that a team will score within the near future given the fine-grained spatio-temporal distribution of all players and the ball over the last seconds of the game. Our experiments indicate that PIVOT is able to produce accurate and calibrated probability estimates, even when trained on a relatively small dataset. We also showcase two interactive applications of PIVOT for valuing actual and counterfactual player decisions and actions in real-time.' author: - first_name: Oliver full_name: Müller, Oliver id: '72849' last_name: Müller - first_name: Matthew full_name: Caron, Matthew id: '60721' last_name: Caron - first_name: Michael full_name: Döring, Michael last_name: Döring - first_name: Tim full_name: Heuwinkel, Tim last_name: Heuwinkel - first_name: Jochen full_name: Baumeister, Jochen id: '46' last_name: Baumeister orcid: 0000-0003-2683-5826 citation: ama: 'Müller O, Caron M, Döring M, Heuwinkel T, Baumeister J. PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. In: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021).' apa: 'Müller, O., Caron, M., Döring, M., Heuwinkel, T., & Baumeister, J. (n.d.). PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data. 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021). European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.' bibtex: '@inproceedings{Müller_Caron_Döring_Heuwinkel_Baumeister, title={PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data}, booktitle={8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021)}, author={Müller, Oliver and Caron, Matthew and Döring, Michael and Heuwinkel, Tim and Baumeister, Jochen} }' chicago: 'Müller, Oliver, Matthew Caron, Michael Döring, Tim Heuwinkel, and Jochen Baumeister. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” In 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.' ieee: 'O. Müller, M. Caron, M. Döring, T. Heuwinkel, and J. Baumeister, “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data,” presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021), Online.' mla: 'Müller, Oliver, et al. “PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.” 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021).' short: 'O. Müller, M. Caron, M. Döring, T. Heuwinkel, J. Baumeister, in: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021), n.d.' conference: end_date: 2021-09-17 location: Online name: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML PKDD 2021) start_date: 2021-09-13 date_created: 2021-09-16T08:33:04Z date_updated: 2023-02-28T08:58:24Z department: - _id: '196' - _id: '172' keyword: - expected possession value - handball - tracking data - time series classification - deep learning language: - iso: eng main_file_link: - url: https://dtai.cs.kuleuven.be/events/MLSA21/papers/MLSA21_paper_muller.pdf publication: 8th Workshop on Machine Learning and Data Mining for Sports Analytics (ECML PKDD 2021) publication_status: inpress status: public title: 'PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data' type: conference user_id: '60721' year: '2021' ... --- _id: '34822' abstract: - lang: eng text: The role of domain-specific content knowledge is discussed controversially for the early childhood context. Therefore, this review aims at untangling the research on domain-specific content knowledge for early childhood educators by systematically reviewing the conceptual and operational definition of and results on early childhood educators' content knowledge in different domains. Using the scientific databases ERIC, PsycInfo and Web of Sciences, we identified 36 studies on early childhood educators' domain-specific content knowledge. By comparing these studies, we found that conceptualizations of early childhood educators' content knowledge move on a continuum between a scientific related perspective and a practice related perspective. The scientific related perspective defines content knowledge as the knowledge of key concepts, facts and rules of the domain integrating knowledge taught in primary, secondary or upper secondary school. The practice related perspective includes knowledge of key concepts, facts and rules of the domain limited to the knowledge explicitly relevant for teaching in early childhood education as well as selected domain-specific knowledge of children and teaching. Our review shows that the results and implications drawn by the study authors depend on how these authors conceptualize early childhood educators' content knowledge on this continuum. Further research, therefore, needs to consider carefully how early childhood educators' content knowledge is conceptualized. The paper further discusses gaps in this research field, such as validating methods for measuring early childhood educators' content knowledge or implementing more rigorous experimental designs to examine effects of early childhood educators' content knowledge. article_type: review author: - first_name: Julia full_name: Bruns, Julia id: '72183' last_name: Bruns orcid: https://orcid.org/0000-0002-6604-5864 - first_name: Hedwig full_name: Gasteiger, Hedwig last_name: Gasteiger - first_name: Carolin full_name: Strahl, Carolin last_name: Strahl citation: ama: 'Bruns J, Gasteiger H, Strahl C. Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education. 2021;9(2):500-538. doi:10.1002/rev3.3255' apa: 'Bruns, J., Gasteiger, H., & Strahl, C. (2021). Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review. Review of Education, 9(2), 500–538. https://doi.org/10.1002/rev3.3255' bibtex: '@article{Bruns_Gasteiger_Strahl_2021, title={Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review}, volume={9}, DOI={10.1002/rev3.3255}, number={2}, journal={Review of Education}, publisher={Wiley}, author={Bruns, Julia and Gasteiger, Hedwig and Strahl, Carolin}, year={2021}, pages={500–538} }' chicago: 'Bruns, Julia, Hedwig Gasteiger, and Carolin Strahl. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.” Review of Education 9, no. 2 (2021): 500–538. https://doi.org/10.1002/rev3.3255.' ieee: 'J. Bruns, H. Gasteiger, and C. Strahl, “Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review,” Review of Education, vol. 9, no. 2, pp. 500–538, 2021, doi: 10.1002/rev3.3255.' mla: 'Bruns, Julia, et al. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.” Review of Education, vol. 9, no. 2, Wiley, 2021, pp. 500–38, doi:10.1002/rev3.3255.' short: J. Bruns, H. Gasteiger, C. Strahl, Review of Education 9 (2021) 500–538. date_created: 2022-12-22T09:22:46Z date_updated: 2023-06-20T19:04:34Z department: - _id: '611' - _id: '97' doi: 10.1002/rev3.3255 external_id: isi: - '000614156400001' intvolume: ' 9' isi: '1' issue: '2' keyword: - content knowledge - domain-specific learning - early childhood education - teacher knowledge language: - iso: eng page: 500-538 publication: Review of Education publication_identifier: issn: - 2049-6613 publication_status: published publisher: Wiley quality_controlled: '1' status: public title: 'Conceptualising and measuring domain-specific content knowledge of early childhood educators: A systematic review' type: journal_article user_id: '49063' volume: 9 year: '2021' ... --- _id: '27491' abstract: - lang: eng text: ' Students often have a lack of understanding and awareness of where, how, and why personal data about them is collected and processed. Especially, when interacting with data-driven digital artifacts, an appropriate perception of the data collection and processing is necessary for self-determination. This dissertation deals with the development and evaluation of a concept called data awareness which aims to foster students’ self-determination interacting with data-driven digital artifacts.' author: - first_name: Lukas full_name: Höper, Lukas id: '58041' last_name: Höper citation: ama: 'Höper L. Developing and Evaluating the Concept Data Awareness for K12 Computing Education. In: 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. Association for Computing Machinery; 2021. doi:10.1145/3488042.3490509' apa: Höper, L. (2021). Developing and Evaluating the Concept Data Awareness for K12 Computing Education. 21st Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/3488042.3490509 bibtex: '@inproceedings{Höper_2021, place={New York, NY, USA}, series={Koli Calling ’21}, title={Developing and Evaluating the Concept Data Awareness for K12 Computing Education}, DOI={10.1145/3488042.3490509}, booktitle={21st Koli Calling International Conference on Computing Education Research}, publisher={Association for Computing Machinery}, author={Höper, Lukas}, year={2021}, collection={Koli Calling ’21} }' chicago: 'Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” In 21st Koli Calling International Conference on Computing Education Research. Koli Calling ’21. New York, NY, USA: Association for Computing Machinery, 2021. https://doi.org/10.1145/3488042.3490509.' ieee: 'L. Höper, “Developing and Evaluating the Concept Data Awareness for K12 Computing Education,” 2021, doi: 10.1145/3488042.3490509.' mla: Höper, Lukas. “Developing and Evaluating the Concept Data Awareness for K12 Computing Education.” 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, 2021, doi:10.1145/3488042.3490509. short: 'L. Höper, in: 21st Koli Calling International Conference on Computing Education Research, Association for Computing Machinery, New York, NY, USA, 2021.' date_created: 2021-11-16T07:59:49Z date_updated: 2024-09-16T08:32:39Z department: - _id: '67' doi: 10.1145/3488042.3490509 keyword: - data awareness - machine learning - data science education - data-driven digital artifacts - artificial intelligence language: - iso: eng place: New York, NY, USA publication: 21st Koli Calling International Conference on Computing Education Research publication_identifier: isbn: - '9781450384889' publisher: Association for Computing Machinery quality_controlled: '1' series_title: Koli Calling '21 status: public title: Developing and Evaluating the Concept Data Awareness for K12 Computing Education type: conference user_id: '58041' year: '2021' ... --- _id: '57884' abstract: - lang: eng text: Although music apps are becoming increasingly popular, there has been little research on informal music practices with apps. This article presents findings of an ongoing study on learning processes and aesthetic experiences with informal appmusic practices. In particular, it discusses the aesthetic practices (Reckwitz, 2008b) of using specific places for making music. In our grounded theory study (Charmaz, 2014) we collected data using interviews, participant observation and videography. As exemplary cases, this article presents two analyses of the use of ‘inspiring places’ and ‘safe places’. The results suggest that perceiving the atmosphere is a fundamental prerequisite for both places. Additionally, the results shed light on aesthetic aspects of mobile music making. (DIPF/Orig.) author: - first_name: Linus full_name: Eusterbrock, Linus last_name: Eusterbrock - first_name: Marc full_name: Godau, Marc id: '98877' last_name: Godau - first_name: Matthias full_name: Haenisch, Matthias last_name: Haenisch - first_name: Matthias full_name: Krebs, Matthias last_name: Krebs - first_name: Christian full_name: Rolle, Christian last_name: Rolle citation: ama: 'Eusterbrock L, Godau M, Haenisch M, Krebs M, Rolle C. Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis. In: Hasselhorn J, Kautny O, Platz F, eds. Musikpädagogik Im Spannungsfeld von Reflexion Und Intervention. Vol 41. Musikpädagogische Forschung. Waxmann; 2021:155–172.' apa: Eusterbrock, L., Godau, M., Haenisch, M., Krebs, M., & Rolle, C. (2021). Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis. In J. Hasselhorn, O. Kautny, & F. Platz (Eds.), Musikpädagogik im Spannungsfeld von Reflexion und Intervention (Vol. 41, pp. 155–172). Waxmann. bibtex: '@inbook{Eusterbrock_Godau_Haenisch_Krebs_Rolle_2021, place={Münster, New York}, series={Musikpädagogische Forschung}, title={Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis}, volume={41}, booktitle={Musikpädagogik im Spannungsfeld von Reflexion und Intervention}, publisher={Waxmann}, author={Eusterbrock, Linus and Godau, Marc and Haenisch, Matthias and Krebs, Matthias and Rolle, Christian}, editor={Hasselhorn, Johannes and Kautny, Oliver and Platz, Friedrich}, year={2021}, pages={155–172}, collection={Musikpädagogische Forschung} }' chicago: 'Eusterbrock, Linus, Marc Godau, Matthias Haenisch, Matthias Krebs, and Christian Rolle. “Von ’inspirierenden Orten’ Und ’Safe Places’. Die Ästhetische Nutzung von Orten in Der Appmusikpraxis.” In Musikpädagogik Im Spannungsfeld von Reflexion Und Intervention, edited by Johannes Hasselhorn, Oliver Kautny, and Friedrich Platz, 41:155–172. Musikpädagogische Forschung. Münster, New York: Waxmann, 2021.' ieee: 'L. Eusterbrock, M. Godau, M. Haenisch, M. Krebs, and C. Rolle, “Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis,” in Musikpädagogik im Spannungsfeld von Reflexion und Intervention, vol. 41, J. Hasselhorn, O. Kautny, and F. Platz, Eds. Münster, New York: Waxmann, 2021, pp. 155–172.' mla: Eusterbrock, Linus, et al. “Von ’inspirierenden Orten’ Und ’Safe Places’. Die Ästhetische Nutzung von Orten in Der Appmusikpraxis.” Musikpädagogik Im Spannungsfeld von Reflexion Und Intervention, edited by Johannes Hasselhorn et al., vol. 41, Waxmann, 2021, pp. 155–172. short: 'L. Eusterbrock, M. Godau, M. Haenisch, M. Krebs, C. Rolle, in: J. Hasselhorn, O. Kautny, F. Platz (Eds.), Musikpädagogik Im Spannungsfeld von Reflexion Und Intervention, Waxmann, Münster, New York, 2021, pp. 155–172.' date_created: 2024-12-30T14:42:12Z date_updated: 2025-02-06T10:51:28Z department: - _id: '131' - _id: '36' - _id: '129' - _id: '540' editor: - first_name: Johannes full_name: Hasselhorn, Johannes last_name: Hasselhorn - first_name: Oliver full_name: Kautny, Oliver last_name: Kautny - first_name: Friedrich full_name: Platz, Friedrich last_name: Platz extern: '1' intvolume: ' 41' keyword: - Education - Ästhetik - Schul- und Bildungswesen - Informal learning - Informelles Lernen - Musical education - Musikpädagogik - Anwendung - Ästhetische Erfahrung - Grounded Theory - Längsschnittuntersuchung - Learning process - Lernprozess - Longitudinal analysis - Longitudinal study - Mobiles Gerät - Music reading - Musizieren - Erziehung language: - iso: eng main_file_link: - open_access: '1' oa: '1' page: 155–172 place: Münster, New York publication: Musikpädagogik im Spannungsfeld von Reflexion und Intervention publisher: Waxmann series_title: Musikpädagogische Forschung status: public title: Von ’inspirierenden Orten’ und ’Safe Places’. Die ästhetische Nutzung von Orten in der Appmusikpraxis type: book_chapter user_id: '99991' volume: 41 year: '2021' ... --- _id: '32558' abstract: - lang: eng text: With the rapid progress of technological development, self-efficacy in reference to digital devices (i.e., information and computer technology [ICT] self-efficacy) is an important driver that helps students to deal with technological problems and support their lifelong learning processes. Schools, peers, and home learning environments are important sources for the development of positive self-efficacy. Expanding on previous research, we investigated the associations between different aspects of the digital home learning environment and students’ ICT self-efficacy. The moderation effects of gender were also tested. A total of 651 children answered a questionnaire about different digital home learning environment dimensions and estimated their ICT self-efficacy using an adapted scale—Schwarzer and Jerusalem’s (1999) general self-efficacy scale. Using the structural equation modeling technique, a digital home learning environment containing six different qualities of parental support was investigated. Families’ cultural capital, parents’ attitudes toward the Internet, and shared Internet activities at home contributed positively to ICT self-efficacy. We observed small gender differences, with the moderation effect being nonsignificant. The results help researchers and practitioners to understand how different dimensions of the digital home learning environment support ICT self-efficacy. We will discuss how parents can enhance the home learning environment and how teachers can integrate this knowledge into formal education. author: - first_name: Sabrina full_name: Bonanati, Sabrina last_name: Bonanati - first_name: Heike M. full_name: Buhl, Heike M. id: '27152' last_name: Buhl citation: ama: Bonanati S, Buhl HM. The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research. 2021;25(2):485-505. doi:10.1007/s10984-021-09377-8 apa: Bonanati, S., & Buhl, H. M. (2021). The digital home learning environment and its relation to children’s ICT self-efficacy. Learning Environments Research, 25(2), 485–505. https://doi.org/10.1007/s10984-021-09377-8 bibtex: '@article{Bonanati_Buhl_2021, title={The digital home learning environment and its relation to children’s ICT self-efficacy}, volume={25}, DOI={10.1007/s10984-021-09377-8}, number={2}, journal={Learning Environments Research}, publisher={Springer Science and Business Media LLC}, author={Bonanati, Sabrina and Buhl, Heike M.}, year={2021}, pages={485–505} }' chicago: 'Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.” Learning Environments Research 25, no. 2 (2021): 485–505. https://doi.org/10.1007/s10984-021-09377-8.' ieee: 'S. Bonanati and H. M. Buhl, “The digital home learning environment and its relation to children’s ICT self-efficacy,” Learning Environments Research, vol. 25, no. 2, pp. 485–505, 2021, doi: 10.1007/s10984-021-09377-8.' mla: Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.” Learning Environments Research, vol. 25, no. 2, Springer Science and Business Media LLC, 2021, pp. 485–505, doi:10.1007/s10984-021-09377-8. short: S. Bonanati, H.M. Buhl, Learning Environments Research 25 (2021) 485–505. date_created: 2022-08-03T05:53:48Z date_updated: 2025-07-16T08:38:51Z department: - _id: '427' doi: 10.1007/s10984-021-09377-8 intvolume: ' 25' issue: '2' keyword: - Digital media use - Gender - Home learning environment - ICT self-efcacy - Motivation - Parental involvement language: - iso: eng main_file_link: - open_access: '1' url: https://link.springer.com/content/pdf/10.1007/s10984-021-09377-8.pdf oa: '1' page: 485-505 project: - _id: '378' grant_number: 01JD1814A name: 'DigHomE: DigHomE: Digital Home Learning Environment – Gelingensbedingungen elterlicher Unterstützung bei der informationsorientierten Internetnutzung' publication: Learning Environments Research publication_identifier: issn: - 1387-1579 - 1573-1855 publication_status: published publisher: Springer Science and Business Media LLC status: public title: The digital home learning environment and its relation to children’s ICT self-efficacy type: journal_article user_id: '27152' volume: 25 year: '2021' ... --- _id: '19609' abstract: - lang: eng text: "Modern services comprise interconnected components,\r\ne.g., microservices in a service mesh, that can scale and\r\nrun on multiple nodes across the network on demand. To process\r\nincoming traffic, service components have to be instantiated and\r\ntraffic assigned to these instances, taking capacities and changing\r\ndemands into account. This challenge is usually solved with\r\ncustom approaches designed by experts. While this typically\r\nworks well for the considered scenario, the models often rely\r\non unrealistic assumptions or on knowledge that is not available\r\nin practice (e.g., a priori knowledge).\r\n\r\nWe propose a novel deep reinforcement learning approach that\r\nlearns how to best coordinate services and is geared towards\r\nrealistic assumptions. It interacts with the network and relies on\r\navailable, possibly delayed monitoring information. Rather than\r\ndefining a complex model or an algorithm how to achieve an\r\nobjective, our model-free approach adapts to various objectives\r\nand traffic patterns. An agent is trained offline without expert\r\nknowledge and then applied online with minimal overhead. Compared\r\nto a state-of-the-art heuristic, it significantly improves flow\r\nthroughput and overall network utility on real-world network\r\ntopologies and traffic traces. It also learns to optimize different\r\nobjectives, generalizes to scenarios with unseen, stochastic traffic\r\npatterns, and scales to large real-world networks." author: - first_name: Stefan Balthasar full_name: Schneider, Stefan Balthasar id: '35343' last_name: Schneider orcid: 0000-0001-8210-4011 - first_name: Adnan full_name: Manzoor, Adnan last_name: Manzoor - first_name: Haydar full_name: Qarawlus, Haydar last_name: Qarawlus - first_name: Rafael full_name: Schellenberg, Rafael last_name: Schellenberg - first_name: Holger full_name: Karl, Holger id: '126' last_name: Karl - first_name: Ramin full_name: Khalili, Ramin last_name: Khalili - first_name: Artur full_name: Hecker, Artur last_name: Hecker citation: ama: 'Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.' apa: Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., & Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Network and Service Management (CNSM). IEEE. bibtex: '@inproceedings{Schneider_Manzoor_Qarawlus_Schellenberg_Karl_Khalili_Hecker_2020, title={Self-Driving Network and Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Network and Service Management (CNSM)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2020} }' chicago: Schneider, Stefan Balthasar, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Ramin Khalili, and Artur Hecker. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Network and Service Management (CNSM). IEEE, 2020. ieee: S. B. Schneider et al., “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Network and Service Management (CNSM), 2020. mla: Schneider, Stefan Balthasar, et al. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020. short: 'S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, A. Hecker, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.' date_created: 2020-09-22T06:28:22Z date_updated: 2022-01-06T06:54:08Z ddc: - '006' department: - _id: '75' file: - access_level: open_access content_type: application/pdf creator: stschn date_created: 2020-09-22T06:29:16Z date_updated: 2020-09-22T06:36:00Z file_id: '19610' file_name: ris_with_copyright.pdf file_size: 642999 relation: main_file file_date_updated: 2020-09-22T06:36:00Z has_accepted_license: '1' keyword: - self-driving networks - self-learning - network coordination - service coordination - reinforcement learning - deep learning - nfv language: - iso: eng oa: '1' project: - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '16' name: SFB 901 - Subproject C4 publication: IEEE International Conference on Network and Service Management (CNSM) publisher: IEEE status: public title: Self-Driving Network and Service Coordination Using Deep Reinforcement Learning type: conference user_id: '35343' year: '2020' ... --- _id: '18686' author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Frederik Simon full_name: Bäumer, Frederik Simon id: '38837' last_name: Bäumer citation: ama: 'Kersting J, Bäumer FS. SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. In: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020. IADIS; 2020:119--123.' apa: 'Kersting, J., & Bäumer, F. S. (2020). SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123.' bibtex: '@inproceedings{Kersting_Bäumer_2020, title={SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH}, booktitle={PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020}, publisher={IADIS}, author={Kersting, Joschka and Bäumer, Frederik Simon}, year={2020}, pages={119--123} }' chicago: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, 119--123. IADIS, 2020.' ieee: 'J. Kersting and F. S. Bäumer, “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH,” in PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, Lisbon, Portugal, 2020, pp. 119--123.' mla: 'Kersting, Joschka, and Frederik Simon Bäumer. “SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH.” PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.' short: 'J. Kersting, F.S. Bäumer, in: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020, IADIS, 2020, pp. 119--123.' conference: end_date: 20.11.2020 location: Lisbon, Portugal name: 17th International Conference on Applied Computing start_date: 18.11.2020 date_created: 2020-08-31T10:59:54Z date_updated: 2022-01-06T06:53:51Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-11-19T17:29:03Z date_updated: 2020-11-19T17:29:03Z file_id: '20443' file_name: Kersting & Bäumer (2020), Kersting2020d.pdf file_size: 1064877 relation: main_file success: 1 file_date_updated: 2020-11-19T17:29:03Z has_accepted_license: '1' keyword: - Software Requirements - Natural Language Processing - Transfer Learning - On-The-Fly Computing language: - iso: eng page: 119--123 project: - _id: '1' name: SFB 901 - _id: '3' name: SFB 901 - Project Area B - _id: '9' name: SFB 901 - Subproject B1 publication: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON APPLIED COMPUTING 2020 publisher: IADIS status: public title: 'SEMANTIC TAGGING OF REQUIREMENT DESCRIPTIONS: A TRANSFORMER-BASED APPROACH' type: conference user_id: '58701' year: '2020' ... --- _id: '15580' abstract: - lang: eng text: This paper deals with aspect phrase extraction and classification in sentiment analysis. We summarize current approaches and datasets from the domain of aspect-based sentiment analysis. This domain detects sentiments expressed for individual aspects in unstructured text data. So far, mainly commercial user reviews for products or services such as restaurants were investigated. We here present our dataset consisting of German physician reviews, a sensitive and linguistically complex field. Furthermore, we describe the annotation process of a dataset for supervised learning with neural networks. Moreover, we introduce our model for extracting and classifying aspect phrases in one step, which obtains an F1-score of 80%. By applying it to a more complex domain, our approach and results outperform previous approaches. author: - first_name: Joschka full_name: Kersting, Joschka id: '58701' last_name: Kersting - first_name: Michaela full_name: Geierhos, Michaela id: '42496' last_name: Geierhos orcid: 0000-0002-8180-5606 citation: ama: 'Kersting J, Geierhos M. Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020). Setúbal, Portugal: SCITEPRESS; 2020:391--400.' apa: 'Kersting, J., & Geierhos, M. (2020). Aspect Phrase Extraction in Sentiment Analysis with Deep Learning. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) (pp. 391--400). Setúbal, Portugal: SCITEPRESS.' bibtex: '@inproceedings{Kersting_Geierhos_2020, place={Setúbal, Portugal}, title={Aspect Phrase Extraction in Sentiment Analysis with Deep Learning}, booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020)}, publisher={SCITEPRESS}, author={Kersting, Joschka and Geierhos, Michaela}, year={2020}, pages={391--400} }' chicago: 'Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” In Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), 391--400. Setúbal, Portugal: SCITEPRESS, 2020.' ieee: J. Kersting and M. Geierhos, “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning,” in Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), Valetta, Malta, 2020, pp. 391--400. mla: Kersting, Joschka, and Michaela Geierhos. “Aspect Phrase Extraction in Sentiment Analysis with Deep Learning.” Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, 2020, pp. 391--400. short: 'J. Kersting, M. Geierhos, in: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) --  Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020), SCITEPRESS, Setúbal, Portugal, 2020, pp. 391--400.' conference: location: Valetta, Malta name: International Conference on Agents and Artificial Intelligence (ICAART) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI) date_created: 2020-01-15T08:35:07Z date_updated: 2022-01-06T06:52:29Z ddc: - '000' department: - _id: '579' file: - access_level: closed content_type: application/pdf creator: jkers date_created: 2020-09-18T09:27:00Z date_updated: 2020-09-18T09:27:00Z file_id: '19576' file_name: Kersting & Geierhos (2020), Kersting2020.pdf file_size: 421780 relation: main_file success: 1 file_date_updated: 2020-09-18T09:27:00Z has_accepted_license: '1' keyword: - Deep Learning - Natural Language Processing - Aspect-based Sentiment Analysis language: - iso: eng page: 391--400 place: Setúbal, Portugal project: - _id: '3' name: SFB 901 - Project Area B - _id: '1' name: SFB 901 - _id: '9' name: SFB 901 - Subproject B1 publication: Proceedings of the 12th International Conference on Agents and Artificial Intelligence (ICAART 2020) -- Special Session on Natural Language Processing in Artificial Intelligence (NLPinAI 2020) publisher: SCITEPRESS status: public title: Aspect Phrase Extraction in Sentiment Analysis with Deep Learning type: conference user_id: '58701' year: '2020' ... --- _id: '35313' abstract: - lang: eng text: The article discusses the explanatory power of conceptual change for research on workplace learning in digitalized workplaces. Interestingly, research on conceptual change is well-established within the area of science education but widely neglected within the broad area of workplace learning research. Digitalization of work establishes new quality of tasks and tools by integrating workers and machines into digital networks. Hence, conceptual change can be considered a core concept for identifying workers’ successful adaption to digital transformation. Therefore, conceptual change research in the area of workplace learning in digitalized workplaces is highly relevant. The article reflects upon reasons, explores the potential of conceptual change for understanding workplace learning in digitalized workplaces, and illustrates the argumentation by exemplarily referring to digitalized farming. Finally, the article provides suggestions for future research. alternative_title: - Challenges for Workplaces and Workplace Learning author: - first_name: Christian full_name: Harteis, Christian id: '27503' last_name: Harteis orcid: https://orcid.org/0000-0002-3570-7626 - first_name: Michael full_name: Goller, Michael id: '30984' last_name: Goller orcid: 0000-0002-2820-9178 - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso citation: ama: Harteis C, Goller M, Caruso C. Conceptual Change in the Face of Digitalization. Frontiers in Education. 2020;5(1). doi:10.3389/feduc.2020.00001 apa: Harteis, C., Goller, M., & Caruso, C. (2020). Conceptual Change in the Face of Digitalization. Frontiers in Education, 5(1). https://doi.org/10.3389/feduc.2020.00001 bibtex: '@article{Harteis_Goller_Caruso_2020, title={Conceptual Change in the Face of Digitalization}, volume={5}, DOI={10.3389/feduc.2020.00001}, number={1}, journal={Frontiers in Education}, author={Harteis, Christian and Goller, Michael and Caruso, Carina}, year={2020} }' chicago: Harteis, Christian, Michael Goller, and Carina Caruso. “Conceptual Change in the Face of Digitalization.” Frontiers in Education 5, no. 1 (2020). https://doi.org/10.3389/feduc.2020.00001. ieee: 'C. Harteis, M. Goller, and C. Caruso, “Conceptual Change in the Face of Digitalization,” Frontiers in Education, vol. 5, no. 1, 2020, doi: 10.3389/feduc.2020.00001.' mla: Harteis, Christian, et al. “Conceptual Change in the Face of Digitalization.” Frontiers in Education, vol. 5, no. 1, 2020, doi:10.3389/feduc.2020.00001. short: C. Harteis, M. Goller, C. Caruso, Frontiers in Education 5 (2020). date_created: 2023-01-06T06:34:29Z date_updated: 2023-01-06T12:11:25Z doi: 10.3389/feduc.2020.00001 intvolume: ' 5' issue: '1' keyword: - conceptual change - digitalization - workplace learning - professional development - agriculture language: - iso: eng publication: Frontiers in Education publication_status: published status: public title: Conceptual Change in the Face of Digitalization type: journal_article user_id: '86519' volume: 5 year: '2020' ... --- _id: '35298' abstract: - lang: ger text: Im Artikel werden drei verschiedene Lernzugänge (kom-petenzorientiertes, ästhetisches und biographisches Lernen) vorgestellt und aus theoretischer Perspektive deren motivierender Gehalt für selbstreguliertes Lernen in Praxisphasen des Lehramtsstudiumsherausgearbeitet. Als theoretische Grund-lage dient die Selbstbestimmungstheorie als zentrale motivationale Theorie zur Erklärung selbstbestimmten Handelns. - lang: eng text: The article addresses how motivational learning approaches (competency-oriented, aesthetic and biographical) can contribute to the professionalization of preservice teachers during a long-term internship. As a theoretical basis, the self-determination theory serves as a central motivational theory for explaining self-determined action. alternative_title: - Ein Blick auf kompetenzorientiertes, ästhetisches und biographisches Lernen im Lehramtsstudium author: - first_name: Carina full_name: Caruso, Carina id: '23123' last_name: Caruso - first_name: Christine full_name: Adammek, Christine last_name: Adammek - first_name: Sabrina full_name: Bonanati, Sabrina last_name: Bonanati - first_name: Sybille full_name: Wiescholek, Sybille last_name: Wiescholek citation: ama: Caruso C, Adammek C, Bonanati S, Wiescholek S. Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion. 2020;3(1):18-33. doi:10.4119/hlz-2540 apa: Caruso, C., Adammek, C., Bonanati, S., & Wiescholek, S. (2020). Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen. Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, 3(1), 18–33. https://doi.org/10.4119/hlz-2540 bibtex: '@article{Caruso_Adammek_Bonanati_Wiescholek_2020, title={Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen}, volume={3}, DOI={10.4119/hlz-2540}, number={1}, journal={Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion}, author={Caruso, Carina and Adammek, Christine and Bonanati, Sabrina and Wiescholek, Sybille}, year={2020}, pages={18–33} }' chicago: 'Caruso, Carina, Christine Adammek, Sabrina Bonanati, and Sybille Wiescholek. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3, no. 1 (2020): 18–33. https://doi.org/10.4119/hlz-2540.' ieee: 'C. Caruso, C. Adammek, S. Bonanati, and S. Wiescholek, “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen,” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, pp. 18–33, 2020, doi: 10.4119/hlz-2540.' mla: Caruso, Carina, et al. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.” Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, 2020, pp. 18–33, doi:10.4119/hlz-2540. short: C. Caruso, C. Adammek, S. Bonanati, S. Wiescholek, Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3 (2020) 18–33. date_created: 2023-01-05T13:58:28Z date_updated: 2023-01-06T12:18:16Z doi: 10.4119/hlz-2540 intvolume: ' 3' issue: '1' keyword: - ästhetische Forschung - Biographiearbeit - Praxissemester - Professionalisierung - selbstreguliertes Lernen - Motivation / aesthetic research - biographical work - long-term internship - profes-sionalization - self-regulated learning - motivation language: - iso: other page: 18-33 publication: Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion publication_identifier: issn: - 2625-0675 publication_status: published status: public title: Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen type: journal_article user_id: '86519' volume: 3 year: '2020' ... --- _id: '33299' abstract: - lang: eng text: "The aim of this study was to find out whether teaching how to search for literature\r\nwould be more beneficial to students and teachers if done online through short videos\r\nrather than in person during course time. To find out whether online videos are more\r\nbeneficial, two courses were asked to fill in questionnaires, one at the beginning and\r\none at the end of the semester. One of the courses received the input online via videos\r\nand were given an exercise to put the newly learned skills to use, the other course\r\nserved as a control group and learned how to search for literature during the course.\r\nThe results show that while the difference between the two groups is not significant,\r\nthe videos can still be regarded as being more beneficial than teaching the necessary\r\nskills during course time." author: - first_name: Charlotte Anna full_name: Hahn, Charlotte Anna id: '25934' last_name: Hahn citation: ama: Hahn CA. Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre. 2020;(6). apa: Hahn, C. A. (2020). Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre, 6. bibtex: '@article{Hahn_2020, title={Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen}, number={6}, journal={die hochschullehre}, author={Hahn, Charlotte Anna}, year={2020} }' chicago: Hahn, Charlotte Anna. “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen.” die hochschullehre, no. 6 (2020). ieee: C. A. Hahn, “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen,” die hochschullehre, no. 6, 2020. mla: Hahn, Charlotte Anna. “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen.” die hochschullehre, no. 6, 2020. short: C.A. Hahn, die hochschullehre (2020). date_created: 2022-09-08T09:05:30Z date_updated: 2023-10-13T10:17:31Z ddc: - '020' department: - _id: '1' - _id: '384' file: - access_level: open_access content_type: application/pdf creator: chogg date_created: 2022-09-08T09:05:22Z date_updated: 2022-09-08T09:05:22Z file_id: '33300' file_name: HSL2012W.pdf file_size: 318104 relation: main_file file_date_updated: 2022-09-08T09:05:22Z has_accepted_license: '1' issue: '6' keyword: - E-Learning - information competence - literature - library - research language: - iso: ger main_file_link: - open_access: '1' url: http://www.hochschullehre.org/wp-content/files/diehochschullehre_2020_Hahn_Informationskompetenz.pdf oa: '1' publication: die hochschullehre publication_identifier: eissn: - ISSN 2199-8825 publication_status: published status: public title: Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen type: journal_article user_id: '14931' year: '2020' ... --- _id: '48897' abstract: - lang: eng text: 'In this work we focus on the well-known Euclidean Traveling Salesperson Problem (TSP) and two highly competitive inexact heuristic TSP solvers, EAX and LKH, in the context of per-instance algorithm selection (AS). We evolve instances with nodes where the solvers show strongly different performance profiles. These instances serve as a basis for an exploratory study on the identification of well-discriminating problem characteristics (features). Our results in a nutshell: we show that even though (1) promising features exist, (2) these are in line with previous results from the literature, and (3) models trained with these features are more accurate than models adopting sophisticated feature selection methods, the advantage is not close to the virtual best solver in terms of penalized average runtime and so is the performance gain over the single best solver. However, we show that a feature-free deep neural network based approach solely based on visual representation of the instances already matches classical AS model results and thus shows huge potential for future studies.' author: - first_name: Moritz full_name: Seiler, Moritz last_name: Seiler - first_name: Janina full_name: Pohl, Janina last_name: Pohl - first_name: Jakob full_name: Bossek, Jakob id: '102979' last_name: Bossek orcid: 0000-0002-4121-4668 - first_name: Pascal full_name: Kerschke, Pascal last_name: Kerschke - first_name: Heike full_name: Trautmann, Heike last_name: Trautmann citation: ama: 'Seiler M, Pohl J, Bossek J, Kerschke P, Trautmann H. Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. In: Parallel Problem Solving from {Nature} (PPSN XVI). Springer-Verlag; 2020:48–64. doi:10.1007/978-3-030-58112-1_4' apa: Seiler, M., Pohl, J., Bossek, J., Kerschke, P., & Trautmann, H. (2020). Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem. Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. https://doi.org/10.1007/978-3-030-58112-1_4 bibtex: '@inproceedings{Seiler_Pohl_Bossek_Kerschke_Trautmann_2020, place={Berlin, Heidelberg}, title={Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem}, DOI={10.1007/978-3-030-58112-1_4}, booktitle={Parallel Problem Solving from {Nature} (PPSN XVI)}, publisher={Springer-Verlag}, author={Seiler, Moritz and Pohl, Janina and Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2020}, pages={48–64} }' chicago: 'Seiler, Moritz, Janina Pohl, Jakob Bossek, Pascal Kerschke, and Heike Trautmann. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” In Parallel Problem Solving from {Nature} (PPSN XVI), 48–64. Berlin, Heidelberg: Springer-Verlag, 2020. https://doi.org/10.1007/978-3-030-58112-1_4.' ieee: 'M. Seiler, J. Pohl, J. Bossek, P. Kerschke, and H. Trautmann, “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem,” in Parallel Problem Solving from {Nature} (PPSN XVI), 2020, pp. 48–64, doi: 10.1007/978-3-030-58112-1_4.' mla: Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.” Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4. short: 'M. Seiler, J. Pohl, J. Bossek, P. Kerschke, H. Trautmann, in: Parallel Problem Solving from {Nature} (PPSN XVI), Springer-Verlag, Berlin, Heidelberg, 2020, pp. 48–64.' date_created: 2023-11-14T15:59:00Z date_updated: 2023-12-13T10:49:45Z department: - _id: '819' doi: 10.1007/978-3-030-58112-1_4 extern: '1' keyword: - Automated algorithm selection - Deep learning - Feature-based approaches - Traveling Salesperson Problem language: - iso: eng page: 48–64 place: Berlin, Heidelberg publication: Parallel Problem Solving from {Nature} (PPSN XVI) publication_identifier: isbn: - 978-3-030-58111-4 publisher: Springer-Verlag status: public title: Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem type: conference user_id: '102979' year: '2020' ... --- _id: '9853' abstract: - lang: eng text: Business model innovation is typically taught in small seminars at universities. Teaching this intrinsically task-oriented subject to a large number of students is a challenge. In this paper we address this challenge by proposing an experiential and interactive approach to teaching business models in a large classroom setting. accept: '1' author: - first_name: Daniel full_name: Szopinski, Daniel id: '36372' last_name: Szopinski citation: ama: 'Szopinski D. Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models. 2019;7(3):90-100.' apa: 'Szopinski, D. (2019). Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models, 7(3), 90–100.' bibtex: '@article{Szopinski_2019, title={Squaring the circle: Business model teaching in large classroom settings}, volume={7}, number={3}, journal={Journal of Business Models}, author={Szopinski, Daniel}, year={2019}, pages={90–100} }' chicago: 'Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models 7, no. 3 (2019): 90–100.' ieee: 'D. Szopinski, “Squaring the circle: Business model teaching in large classroom settings,” Journal of Business Models, vol. 7, no. 3, pp. 90–100, 2019.' mla: 'Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models, vol. 7, no. 3, 2019, pp. 90–100.' short: D. Szopinski, Journal of Business Models 7 (2019) 90–100. date_created: 2019-05-20T10:17:54Z date_updated: 2019-10-28T10:29:25Z ddc: - '000' department: - _id: '276' file: - access_level: closed content_type: application/pdf creator: dsz date_created: 2019-10-17T06:51:18Z date_updated: 2019-10-17T06:51:18Z file_id: '13898' file_name: JoBM_SE_Teaching_2018_Squaring the circle_RevisedManuscript.pdf file_size: 1068694 relation: main_file success: 1 file_date_updated: 2019-10-17T06:51:18Z intvolume: ' 7' issue: '3' keyword: - Business model teaching - peer assessment - experiential learning language: - iso: eng page: 90-100 project: - _id: '1' name: SFB 901 - _id: '4' name: SFB 901 - Project Area C - _id: '17' name: SFB 901 - Subproject C5 publication: Journal of Business Models publication_status: epub_ahead status: public title: 'Squaring the circle: Business model teaching in large classroom settings' type: journal_article user_id: '16205' volume: 7 year: '2019' ... --- _id: '13107' abstract: - lang: eng text: In this paper, we first outline a Hypothetical Learning Trajectory (HLT), which aims at a formal understanding of the rules for manipulating integers. The HLT is based on task formats, which promote algebraic thinking in terms of generalizing rules from the analysis of patterns and should be familiar to students from their mathematics education experiences in elementary school. Second, we analyze two students' actual learning process based on Peircean semiotics. The analysis shows that the actual learning process diverges from the hypothesized learning process in that the students do not relate the different levels of the diagrams in a way that allows them to extrapolate the rule for the subtraction of negative numbers. Based on this finding, we point out consequences for the design of the tasks. author: - first_name: Jan full_name: Schumacher, Jan id: '26809' last_name: Schumacher orcid: 0000-0002-6676-9774 - first_name: Sebastian full_name: Rezat, Sebastian last_name: Rezat citation: ama: 'Schumacher J, Rezat S. A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In: Jankvist UT, Van den Heuvel-Panhuizen M, Veldhuis M, eds. Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.' apa: 'Schumacher, J., & Rezat, S. (n.d.). A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In U. T. Jankvist, M. Van den Heuvel-Panhuizen, & M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.' bibtex: '@inproceedings{Schumacher_Rezat, place={Utrecht, the Netherlands}, title={A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers}, booktitle={Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019)}, publisher={Freudenthal Group & Freudenthal Institute, Utrecht University and ERME}, author={Schumacher, Jan and Rezat, Sebastian}, editor={Jankvist, Uffe Thomas and Van den Heuvel-Panhuizen, Marja and Veldhuis, MichielEditors} }' chicago: 'Schumacher, Jan, and Sebastian Rezat. “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers.” In Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), edited by Uffe Thomas Jankvist, Marja Van den Heuvel-Panhuizen, and Michiel Veldhuis. Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME, n.d.' ieee: J. Schumacher and S. Rezat, “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers,” in Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), Utrecht. mla: Schumacher, Jan, and Sebastian Rezat. “A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers.” Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), edited by Uffe Thomas Jankvist et al., Freudenthal Group & Freudenthal Institute, Utrecht University and ERME. short: 'J. Schumacher, S. Rezat, in: U.T. Jankvist, M. Van den Heuvel-Panhuizen, M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019), Freudenthal Group & Freudenthal Institute, Utrecht University and ERME, Utrecht, the Netherlands, n.d.' conference: end_date: 2019-02-10 location: Utrecht name: CERME 11 start_date: 2019-02-06 date_created: 2019-08-30T12:00:50Z date_updated: 2022-01-06T06:51:28Z department: - _id: '360' - _id: '98' editor: - first_name: Uffe Thomas full_name: Jankvist, Uffe Thomas last_name: Jankvist - first_name: Marja full_name: Van den Heuvel-Panhuizen, Marja last_name: Van den Heuvel-Panhuizen - first_name: Michiel full_name: Veldhuis, Michiel last_name: Veldhuis keyword: - diagrammatic reasoning - hypothetical learning trajectory - induction extrapolatory method - integers - negative numbers - permanence principle - semiotics language: - iso: eng place: Utrecht, the Netherlands publication: Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019) publication_status: accepted publisher: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME quality_controlled: '1' status: public title: A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers type: conference user_id: '26809' year: '2019' ... --- _id: '13443' abstract: - lang: eng text: "This work considers the problem of control and resource allocation in networked\r\nsystems. To this end, we present DIRA a Deep reinforcement learning based Iterative Resource\r\nAllocation algorithm, which is scalable and control-aware. Our algorithm is tailored towards\r\nlarge-scale problems where control and scheduling need to act jointly to optimize performance.\r\nDIRA can be used to schedule general time-domain optimization based controllers. In the present\r\nwork, we focus on control designs based on suitably adapted linear quadratic regulators. We\r\napply our algorithm to networked systems with correlated fading communication channels. Our\r\nsimulations show that DIRA scales well to large scheduling problems." author: - first_name: Adrian full_name: Redder, Adrian id: '52265' last_name: Redder orcid: https://orcid.org/0000-0001-7391-4688 - first_name: Arunselvan full_name: Ramaswamy, Arunselvan id: '66937' last_name: Ramaswamy orcid: https://orcid.org/ 0000-0001-7547-8111 - first_name: Daniel full_name: Quevedo, Daniel last_name: Quevedo citation: ama: 'Redder A, Ramaswamy A, Quevedo D. Deep reinforcement learning for scheduling in large-scale networked control systems. In: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. ; 2019.' apa: Redder, A., Ramaswamy, A., & Quevedo, D. (2019). Deep reinforcement learning for scheduling in large-scale networked control systems. In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems. Chicago, USA. bibtex: '@inproceedings{Redder_Ramaswamy_Quevedo_2019, title={Deep reinforcement learning for scheduling in large-scale networked control systems}, booktitle={Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems}, author={Redder, Adrian and Ramaswamy, Arunselvan and Quevedo, Daniel}, year={2019} }' chicago: Redder, Adrian, Arunselvan Ramaswamy, and Daniel Quevedo. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” In Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019. ieee: A. Redder, A. Ramaswamy, and D. Quevedo, “Deep reinforcement learning for scheduling in large-scale networked control systems,” in Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Chicago, USA, 2019. mla: Redder, Adrian, et al. “Deep Reinforcement Learning for Scheduling in Large-Scale Networked Control Systems.” Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019. short: 'A. Redder, A. Ramaswamy, D. Quevedo, in: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, 2019.' conference: end_date: 2019-09-17 location: Chicago, USA name: 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems - NECSYS 2019 start_date: 2019-09-16 date_created: 2019-09-23T16:00:58Z date_updated: 2022-01-06T06:51:36Z ddc: - '620' file: - access_level: local content_type: application/pdf creator: aredder date_created: 2019-09-23T15:48:33Z date_updated: 2019-09-23T16:21:16Z file_id: '13444' file_name: ifacconf.pdf file_size: 371429 relation: main_file file_date_updated: 2019-09-23T16:21:16Z has_accepted_license: '1' keyword: - Networked control systems - deep reinforcement learning - large-scale systems - resource scheduling - stochastic control language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1905.05992 oa: '1' project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems publication_status: published status: public title: Deep reinforcement learning for scheduling in large-scale networked control systems type: conference user_id: '52265' year: '2019' ... --- _id: '15332' abstract: - lang: eng text: "Artificial intelligence (AI) has the potential for far-reaching – in our opinion – irreversible changes.\r\nThey range from effects on the individual and society to new societal and social issues. The question arises\r\nas to how students can learn the basic functioning of AI systems, what areas of life and society are affected\r\nby these and – most important – how their own lives are affected by these changes. Therefore, we are developing and evaluating school materials for the German ”Science Year AI”. It can be used for students of all\r\nschool types from the seventh grade upwards and will be distributed to about 2000 schools in autumn with\r\nthe support of the Federal Ministry of Education and Research. The material deals with the following aspects\r\nof AI: Discussing everyday experiences with AI, how does machine learning work, historical development\r\nof AI concepts, difference between man and machine, future distribution of roles between man and machine,\r\nin which AI world do we want to live and how much AI would we like to have in our lives. Through an\r\naccompanying evaluation, high quality of the technical content and didactic preparation is achieved in order\r\nto guarantee the long-term applicability in the teaching context in the different age groups and school types.\r\nIn this paper, we describe the current state of the material development, the challenges arising, and the results\r\nof tests with different classes to date. We also present first ideas for evaluating the results." author: - first_name: Michael full_name: Schlichtig, Michael id: '32312' last_name: Schlichtig orcid: 0000-0001-6600-6171 - first_name: Simone Anna full_name: Opel, Simone Anna id: '72932' last_name: Opel - first_name: Lea full_name: Budde, Lea id: '32443' last_name: Budde - first_name: Carsten full_name: Schulte, Carsten id: '60311' last_name: Schulte citation: ama: 'Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In: Jasutė E, Pozdniakov S, eds. ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings. Vol 12. ; 2019:65-73.' apa: 'Schlichtig, M., Opel, S. A., Budde, L., & Schulte, C. (2019). Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In E. Jasutė & S. Pozdniakov (Eds.), ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings (Vol. 12, pp. 65–73).' bibtex: '@inproceedings{Schlichtig_Opel_Budde_Schulte_2019, title={Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material}, volume={12}, booktitle={ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings}, author={Schlichtig, Michael and Opel, Simone Anna and Budde, Lea and Schulte, Carsten}, editor={Jasutė, Eglė and Pozdniakov, Sergei}, year={2019}, pages={65–73} }' chicago: 'Schlichtig, Michael, Simone Anna Opel, Lea Budde, and Carsten Schulte. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” In ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, edited by Eglė Jasutė and Sergei Pozdniakov, 12:65–73, 2019.' ieee: 'M. Schlichtig, S. A. Opel, L. Budde, and C. Schulte, “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material,” in ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings, Lanarca, 2019, vol. 12, pp. 65–73.' mla: 'Schlichtig, Michael, et al. “Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material.” ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, edited by Eglė Jasutė and Sergei Pozdniakov, vol. 12, 2019, pp. 65–73.' short: 'M. Schlichtig, S.A. Opel, L. Budde, C. Schulte, in: E. Jasutė, S. Pozdniakov (Eds.), ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings, 2019, pp. 65–73.' conference: end_date: 2019-11-20 location: Lanarca name: 'ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives' start_date: 2019-11-18 date_created: 2019-12-16T17:50:08Z date_updated: 2022-07-26T11:41:41Z department: - _id: '67' editor: - first_name: Eglė full_name: Jasutė, Eglė last_name: Jasutė - first_name: Sergei full_name: Pozdniakov, Sergei last_name: Pozdniakov intvolume: ' 12' keyword: - Artificial Intelligence - Machine Learning - Teaching Material - Societal Aspects - Ethics. Social Aspects - Science Year - Simulation Game language: - iso: eng main_file_link: - url: http://cyprusconferences.org/issep2019/wp-content/uploads/2019/10/LocalISSEP-v5.pdf page: 65 - 73 publication: 'ISSEP 2019 - 12th International conference on informatics in schools: Situation, evaluation and perspectives, Local Proceedings' publication_identifier: isbn: - 978-9925-553-27-3 publication_status: published quality_controlled: '1' status: public title: Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material type: conference user_id: '32312' volume: 12 year: '2019' ... --- _id: '48877' abstract: - lang: eng text: OpenML is an online machine learning platform where researchers can easily share data, machine learning tasks and experiments as well as organize them online to work and collaborate more efficiently. In this paper, we present an R package to interface with the OpenML platform and illustrate its usage in combination with the machine learning R package mlr (Bischl et al. J Mach Learn Res 17(170):1—5, 2016). We show how the OpenML package allows R users to easily search, download and upload data sets and machine learning tasks. Furthermore, we also show how to upload results of experiments, share them with others and download results from other users. Beyond ensuring reproducibility of results, the OpenML platform automates much of the drudge work, speeds up research, facilitates collaboration and increases the users’ visibility online. author: - first_name: Giuseppe full_name: Casalicchio, Giuseppe last_name: Casalicchio - first_name: Jakob full_name: Bossek, Jakob id: '102979' last_name: Bossek orcid: 0000-0002-4121-4668 - first_name: Michel full_name: Lang, Michel last_name: Lang - first_name: Dominik full_name: Kirchhoff, Dominik last_name: Kirchhoff - first_name: Pascal full_name: Kerschke, Pascal last_name: Kerschke - first_name: Benjamin full_name: Hofner, Benjamin last_name: Hofner - first_name: Heidi full_name: Seibold, Heidi last_name: Seibold - first_name: Joaquin full_name: Vanschoren, Joaquin last_name: Vanschoren - first_name: Bernd full_name: Bischl, Bernd last_name: Bischl citation: ama: 'Casalicchio G, Bossek J, Lang M, et al. OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics. 2019;34(3):977–991. doi:10.1007/s00180-017-0742-2' apa: 'Casalicchio, G., Bossek, J., Lang, M., Kirchhoff, D., Kerschke, P., Hofner, B., Seibold, H., Vanschoren, J., & Bischl, B. (2019). OpenML: An R Package to Connect to the Machine Learning Platform OpenML. Computational Statistics, 34(3), 977–991. https://doi.org/10.1007/s00180-017-0742-2' bibtex: '@article{Casalicchio_Bossek_Lang_Kirchhoff_Kerschke_Hofner_Seibold_Vanschoren_Bischl_2019, title={OpenML: An R Package to Connect to the Machine Learning Platform OpenML}, volume={34}, DOI={10.1007/s00180-017-0742-2}, number={3}, journal={Computational Statistics}, author={Casalicchio, Giuseppe and Bossek, Jakob and Lang, Michel and Kirchhoff, Dominik and Kerschke, Pascal and Hofner, Benjamin and Seibold, Heidi and Vanschoren, Joaquin and Bischl, Bernd}, year={2019}, pages={977–991} }' chicago: 'Casalicchio, Giuseppe, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, and Bernd Bischl. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.” Computational Statistics 34, no. 3 (2019): 977–991. https://doi.org/10.1007/s00180-017-0742-2.' ieee: 'G. Casalicchio et al., “OpenML: An R Package to Connect to the Machine Learning Platform OpenML,” Computational Statistics, vol. 34, no. 3, pp. 977–991, 2019, doi: 10.1007/s00180-017-0742-2.' mla: 'Casalicchio, Giuseppe, et al. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.” Computational Statistics, vol. 34, no. 3, 2019, pp. 977–991, doi:10.1007/s00180-017-0742-2.' short: G. Casalicchio, J. Bossek, M. Lang, D. Kirchhoff, P. Kerschke, B. Hofner, H. Seibold, J. Vanschoren, B. Bischl, Computational Statistics 34 (2019) 977–991. date_created: 2023-11-14T15:58:57Z date_updated: 2023-12-13T10:51:17Z department: - _id: '819' doi: 10.1007/s00180-017-0742-2 intvolume: ' 34' issue: '3' keyword: - Databases - Machine learning - R - Reproducible research language: - iso: eng page: 977–991 publication: Computational Statistics publication_identifier: issn: - 0943-4062 status: public title: 'OpenML: An R Package to Connect to the Machine Learning Platform OpenML' type: journal_article user_id: '102979' volume: 34 year: '2019' ...