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

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.

Berisha-Gawlowski10.1007/978-3-030-55878-9_6__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

Schneider SB. Conventional and Machine Learning Approaches for Network and Service Coordination.; 2021.

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).

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

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.

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.

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.

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

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

Hahn CA. Informationskompetenz durch E-Learning? Durch Lernvideos nach Literatur suchen. die hochschullehre. 2020;(6).

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

Szopinski D. Squaring the circle: Business model teaching in large classroom settings. Journal of Business Models. 2019;7(3):90-100.

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 (CERM, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group &; Freudenthal Institute, Utrecht University and ERME.

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.

Schlichtig M, Opel SA, Budde L, Schulte C. Understanding Artificial Intelligence – A Project for the Development of Comprehensive Teaching Material. In: Jasut E, Pozdniakov S, eds. ISSEP 2019 - 12th International Conference on Informatics in Schools: Situation, Evaluation and Perspectives, Local Proceedings. Vol 12. ; 2019:65-73.

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

Harteis C, Fischer C. Wissensmanagement unter Bedingungen von Arbeit 4.0. In: Maier GW, Engels G, Steffen E, eds. Handbuch Gestaltung Digitaler Und Vernetzter Arbeitswelten. Berlin, Heidelberg: Springer; 2018:1--18.

Fischer C, Goller M, Brinkmann L, Harteis C. Digitalisation of Work: Between Affordances and Constraints for Learning at Work. In: Ifenthaler D, ed. Digital Workplace Learning. Cham: Springer; 2018:227--249.