Lun Ai, Johannes Langer, Stephen H. Muggleton, and Ute Schmid. 2023. Explanatory machine learning for sequential human teaching. Machine Learning 112, 10 (June 2023), 3591–3632. DOI:https://doi.org/10.1007/s10994-023-06351-8

Lena Bartel, Michaela Ochs, Tobias Hirmer, and Andreas Henrich. 2024. Design Principles for a Study Planning Assistant in Higher Education. In Proceedings of the 2024 Conference on Human Information Interaction and Retrieval (CHIIR ’24), Association for Computing Machinery, Sheffield, United Kingdom, 243–253. DOI:https://doi.org/10.1145/3627508.3638327

Marc Berges, Jonas Betzendahl, Abhishek Chugh, Michael Kohlhase, Dominic Lohr, and Dennis Müller. 2023. Learning Support Systems Based on Mathematical Knowledge Management. In Intelligent Computer Mathematics, Springer Nature Switzerland, Cham, 84–97.

Jonas Betzendahl, Michael Kohlhase, and Dennis Müller. 2024. Guided Tours in ALeA. In Artificial Intelligence. ECAI 2023 International Workshops, Springer Nature Switzerland, Cham, 397–408.

Felix Böck, Dieter Landes, and Yvonne Sedelmaier. 2023. Improving Learning Motivation for Out-of-Favour Subjects. In CSEDU 2023 - Proceedings of the 15th International Conference on Computer Supported Education, SCITEPRESS – Science, 190–200.

Felix Böck, Dieter Landes, and Yvonne Sedelmaier. 2024. Learner Models: A Systematic Literature Research in Norms and Standards. In Proceedings of the 16th International Conference on Computer Supported Education, SCITEPRESS - Science, Angers, France, 187–196. DOI:https://doi.org/10.5220/0012556100003693

Markos Dimitsas and Jochen L. Leidner. 2023. Topic Segmentation of Educational Video Lectures Using Audio and Text. In Proceedings of the Workshop on AI for AI Learning held at ECAI 2023, Kraków, Poland, 30 September 2023 (Communications in Computer and Information Science (CCIS)), Springer-Nature, Cham, Switzerland, 447–458. DOI:https://doi.org/https://doi.org/10.1007/978-3-031-50485-3_43

Felix Grelka, Theresa Kruse-Kurbach, and Marc Berges. 2025. A Framework for Evaluating AI Powered Learning Platforms in K-12 and University CS Education. In 2025 IEEE Global Engineering Education Conference (EDUCON), IEEE, London, United Kingdom, 1–5. DOI:https://doi.org/10.1109/educon62633.2025.11016415

Felix Grelka, Dominic Lohr, and Marc Berges. 2025. ALeA : Advancing Personalized Learning with Adaptive Assistance and Semantic Annotation. Universitatsbibliothek Bamberg. DOI:https://doi.org/10.20378/irb-108296

T. Hirmer, M. Ochs, and A. Henrich. 2024. Baula – die digitale Studienplanungsassistentin an der Universität Bamberg. Zeitschrift für Hochschulentwicklung 19, 4 (2024), 15–36. DOI:https://doi.org/10.21240/zfhe/19-4/02

Tobias Hirmer, Michaela Ochs, and Andreas Henrich. 2023. Vertical Search Scenarios within a Digital Study Planning Assistant. In Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023 (CEUR Workshop Proceedings), CEUR-WS.org, 239–246. Retrieved from https://ceur-ws.org/Vol-3630/LWDA2023-paper22.pdf

Tobias Hirmer, Michaela Ochs, Andreas Stöckl, and Adrian Völker. 2023. Nutzung von Studienverlaufsdaten im Kontext eines Studienplanungsassistenten. In Workshops der 21. Fachtagung Bildungstechnologien (DELFI). Gesellschaft für Informatik e.V., Bonn, 177–180. DOI:https://doi.org/10.18420/wsdelfi2023-51

Céline Hocquette, Johannes Langer, Andrew Cropper, and Ute Schmid. 2024. Can humans teach machines to code? Retrieved from https://arxiv.org/abs/2404.19397

Michael Kohlhase, Marc Berges, Jens Grubert, Andreas Henrich, Dieter Landes, Jochen L. Leidner, Florian Mittag, Daniela Nicklas, Ute Schmid, Yvonne Sedlmaier, Achim vom Ulbrich-Ende, and Diedrich Wolter. 2024. Project VoLL-KI – Learning from Learners. Künstliche Intellienz (2024). DOI:https://doi.org/10.1007/s13218-024-00846-9

Michael Kohlhase and Dennis Müller. 2022. System Description STEX3 – A LATEX-Based Ecosystem for Semantic/Active Mathematical Documents. In Intelligent Computer Mathematics, Springer International Publishing, Cham, 184–188. Retrieved from https://doi.org/10.1007/978-3-031-16681-5_13

Michael Kohlhase and Marcel Schütz. 2024. Reusing Learning Objects via Theory Morphisms. In Intelligent Computer Mathematics, Springer Nature Switzerland, Cham, 165–182. DOI:https://doi.org/10.1007/978-3-031-66997-2_10

Theresa Kruse, Dominic Lohr, Marc Berges, Michael Kohlhase, Halimeh Moghbeli, and Marcel Schütz. 2024. Term Extraction for Domain Modeling. Gesellschaft für Informatik e.V. DOI:https://doi.org/10.18420/delfi2024_33

Alexander Lehmann and Dieter Landes. 2023. Tackling Learning Obstacles in Learning Videos by Thematic Ad-hoc Recommendations. In ICL2023 - Proceedings of the 26th International Conference on Interactive Collaborative Learning, IGIP / IAEO, 1499–1506.

Jochen L. Leidner and Michael Reiche. 2023. Language-Model Assisted Learning How to Program? In Proceedings of the Workshop on AI for AI Learning held at ECAI 2023, Kraków, Poland, 30 September 2023 (Communications in Computer and Information Science (CCIS)), Springer-Nature, Cham, Switzerland.

Dominic Lohr, Marc Berges, Abhishek Chugh, and Michael Striewe. 2024. Adaptive Learning Systems in Programming Education: A Prototype for Enhanced Formative Feedback. Gesellschaft für Informatik e.V. DOI:https://doi.org/10.18420/delfi2024_57

Dominic Lohr, Marc Berges, Michael Kohlhase, Dennis Müller, and Max Rapp. 2023. The Y-Model - Formalization of Computer Science Tasks in the Context of Adaptive Learning Systems. In 2023 IEEE 2nd German Education Conference (GECon), 1–6. DOI:https://doi.org/10.1109/GECon58119.2023.10295148

Dominic Lohr, Marc-Pascal Berges, Michael Kohlhase, and Florian Rabe. 2023. The Potential of Answer Classes in Large-scale Written Computer-Science Exams. In Hochschuldidaktik Informatik (HDI) 2023, 179–190. Retrieved from https://delfi-tagung.de/fileadmin/FG/BBI/user_upload/6400_HDI_2023_-_Tagungsband_-_Broschuere_-_Innenseiten_-_DIN_A4_-_RZ_WEB.pdf

Dennis Müller and Michael Kohlhase. 2022. Injecting Formal Mathematics Into LaTeX. In Intelligent Computer Mathematics, Springer International Publishing, Cham, 168–183.

Michaela Ochs, Tobias Hirmer, and Andreas Henrich. 2023. Concept and Possible Impacts of a Study Planning Assistant in Higher Education. In 2023 International Symposium on Educational Technology (ISET), 161–165. DOI:https://doi.org/10.1109/ISET58841.2023.00039

Michaela Ochs, Tobias Hirmer, Katherina Past, and Andreas Henrich. 2023. Design-Focused Development of a Course Recommender System for Digital Study Planning. In New Trends in Database and Information Systems, Springer Nature Switzerland, Cham, 575–582.

Michael Reiche and Jochen L. Leidner. 2023. Bridging the Programming Skill Gap with ChatGPT: A Machine Learning Project with Business Students. In Proceedings of the Workshop on AI for AI Learning held at ECAI 2023, Kraków, Poland, 30 September 2023 (Communications in Computer and Information Science (CCIS)), Springer-Nature, Cham, Switzerland.

Ute Schmid and Katharina Weitz. 2022. Künstliche Intelligenz und Psychologie - Von Kognitiver Modellierung bis Erklärbarkeit. In Psychologie : eine Einführung in ihre Grundlagen und Anwendungsfelder (6., überarbeitete Auflage), Astrid Schütz, Matthias Brand and Sabine Steins-Löber (eds.). Kohlhammer, Stuttgart, 219–231.

Anna Magdalena Thaler, Franziska Karin Paukner, Jonas-Dario Troles, and Ute Schmid. 2022. Individuelle Förderung von Programmierfertigkeiten im Studium am Beispiel von Intelligenten Tutor Systemen für SQL. In Scholarship of Teaching and Learning : Eine forschungsgeleitete Fundierung und Weiterentwicklung hochschul(fach)didaktischen Handelns, Nerea Vöing, Sabine Reisas and Maik Arnolds (eds.). Zentrum für Lehrentwicklung, TH Köln, Köln, 61–77. DOI:https://doi.org/10.57684/COS-986

Anna Thaler, Adrian Völker, Tanja Mitrovic, and Ute Schmid. 2022. Worked Examples as Application of Analogical Reasoning in Intelligent Tutoring and their Effects on SQL Competencies. Albert-Ludwigs-Universität Freiburg. DOI:https://doi.org/10.6094/UNIFR/229611