Bonanati, Sabrina, and Heike M. Buhl. “The Digital Home Learning Environment and Its Relation to Children’s ICT Self-Efficacy.”10.1007/s10984-021-09377-8__Learning Environments Research, vol. 25, no. 2, Springer Science and Business Media LLC, 2021, pp. 485–505, doi:10.1007/s10984-021-09377-8.

Goller, Michael, et al. “Digitalisation in Agriculture: Knowledge and Learning Requirements of German Dairy Farmers.”10.13152/IJRVET.8.2.4.__International Journal for Research in Vocational Education and Training, vol. 8, no. 2, 2021, pp. 208–223, doi:10.13152/IJRVET.8.2.4.

Berisha-Gawlowski,10.1007/978-3-030-55878-9_6__Angelina, et al. “The Concept of a Digital Twin and Its Potential for Learning Organizations.”10.1007/978-3-030-55878-9_6__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.

Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.

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).

Bruns, Julia, et al. “Conceptualising and Measuring Domain-Specific Content Knowledge of Early Childhood Educators: A Systematic Review.”10.1002/rev3.3255__Review of Education, vol. 9, no. 2, Wiley, 2021, pp. 500–38, doi:10.1002/rev3.3255.

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.

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.

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.

Harteis, Christian, et al. “Conceptual Change in the Face of Digitalization.”10.3389/feduc.2020.00001__Frontiers in Education, vol. 5, no. 1, 2020, doi:10.3389/feduc.2020.00001.

Caruso, Carina, et al. “Motivierende Lernzugänge als Ausgangspunkt der Professionalisierung angehender Lehrer_innen.”10.4119/hlz-2540__Herausforderung Lehrer*innenbildung - Zeitschrift Zur Konzeption, Gestaltung Und Diskussion, vol. 3, no. 1, 2020, pp. 18–33, doi:10.4119/hlz-2540.

Hahn, Charlotte Anna. “Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen.” die hochschullehre, no. 6, 2020.

Seiler, Moritz, et al. “Deep Learning as a Competitive Feature-Free Approach for Automated Algorithm Selection on the Traveling Salesperson Problem.”10.1007/978-3-030-58112-1_4__Parallel Problem Solving from Nature (PPSN XVI), Springer-Verlag, 2020, pp. 48–64, doi:10.1007/978-3-030-58112-1_4.

Szopinski, Daniel. “Squaring the Circle: Business Model Teaching in Large Classroom Settings.” Journal of Business Models, vol. 7, no. 3, 2019, pp. 90–100.

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 (CERM, February 6 – 10, 2019), edited by Uffe Thomas Jankvist et al., Freudenthal Group &; Freudenthal Institute, Utrecht University and ERME.

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.

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 Egl Jasut and Sergei Pozdniakov, vol. 12, 2019, pp. 65–73.

Casalicchio, Giuseppe, et al. “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.”10.1007/s00180-017-0742-2__Computational Statistics, vol. 34, no. 3, 2019, pp. 977–991, doi:10.1007/s00180-017-0742-2.

Harteis, Christian, and Christoph Fischer. “Wissensmanagement Unter Bedingungen von Arbeit 4.0.” Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten, edited by Günter W. Maier et al., Springer, 2018, pp. 1--18.

Fischer, Christoph, et al. “Digitalisation of Work: Between Affordances and Constraints for Learning at Work.” Digital Workplace Learning, edited by Dirk Ifenthaler, Springer, 2018, pp. 227--249.