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Goller, Michael, Carina Caruso, and Christian Harteis. “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers.”https://doi.org/10.13152/IJRVET.8.2.4.__International Journal for Research in Vocational Education and Training 8, no. 2 (2021): 208–223.https://doi.org/10.13152/IJRVET.8.2.4. 
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Berisha-Gawlowski,https://doi.org/10.1007/978-3-030-55878-9_6__Angelina, Carina Caruso, and Christian Harteis. “The Concept of a Digital Twin and Its Potential for Learning Organizations.”https://doi.org/10.1007/978-3-030-55878-9_6__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 .
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Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination, 2021.
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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.
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Bruns, Julia, Hedwig Gasteiger, and Carolin Strahl. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.”https://doi.org/10.1002/rev3.3255__Review of Education 9, no. 2 (2021): 500–538.https://doi.org/10.1002/rev3.3255 .
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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.
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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.
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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.
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Harteis, Christian, Michael Goller, and Carina Caruso. “Conceptual Change in the Face of Digitalization.”https://doi.org/10.3389/feduc.2020.00001__Frontiers in Education 5, no. 1 (2020).https://doi.org/10.3389/feduc.2020.00001 .
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Caruso, Carina, Christine Adammek, Sabrina Bonanati, and Sybille Wiescholek. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.”https://doi.org/10.4119/hlz-2540__Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion 3, no. 1 (2020): 18–33.https://doi.org/10.4119/hlz-2540 .
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Hahn, Charlotte Anna. “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen.” die hochschullehre, no. 6 (2020).
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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.”https://doi.org/10.1007/978-3-030-58112-1_4__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 .
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Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models 7, no. 3 (2019): 90–100.
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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 (CERM, 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.
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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.
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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 Egl Jasut and Sergei Pozdniakov, 12:65–73, 2019.
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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.”https://doi.org/10.1007/s00180-017-0742-2__Computational Statistics 34, no. 3 (2019): 977–991.https://doi.org/10.1007/s00180-017-0742-2 .
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Harteis, Christian, and Christoph Fischer. “Wissensmanagement Unter Bedingungen von Arbeit 4.0.” In Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten, edited by Günter W. Maier, Gregor Engels, and Eckhard Steffen, 1--18. Berlin, Heidelberg: Springer, 2018.
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Fischer, Christoph, Michael Goller, Lorraine Brinkmann, and Christian Harteis. “Digitalisation of Work: Between Affordances and Constraints for Learning at Work.” In Digital Workplace Learning, edited by Dirk Ifenthaler, 227--249. Cham: Springer, 2018.
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