Steps Learners Take when Solving Programming Tasks, and How Learning Environments (Should) Respond to Them. - Johan Jeuring; Hieke Keuning; Samiha Marwan; Dennis J. Bouvier; Cruz Izu; Natalie Kiesler; Teemu Lehtinen; Dominic Lohr; Andrew Petersen 001; Sami Sarsa (ITiCSE (2), 2022)

Towards Giving Timely Formative Feedback and Hints to Novice Programmers. - Johan Jeuring; Hieke Keuning; Samiha Marwan; Dennis J. Bouvier; Cruz Izu; Natalie Kiesler; Teemu Lehtinen; Dominic Lohr; Andrew Petersen 001; Sami Sarsa (ITiCSE-WGR, 2022)

Exploring the Potential of Large Language Models to Generate Formative Programming Feedback. - Natalie Kiesler; Dominic Lohr; Hieke Keuning (FIE, 2023)

The Y-Model - Formalization of Computer Science Tasks in the Context of Adaptive Learning Systems. - Dominic Lohr; Marc Berges; Michael Kohlhase; Dennis Müller 001; Max Rapp (GECon, 2023)

Learning with ALeA: Tailored experiences through annotated course material. - Theresa Kruse; Marc Berges; Jonas Betzendahl; Michael Kohlhase; Dominic Lohr; Dennis Müller 001 (GI-Jahrestagung, 2023)

Learning Support Systems Based on Mathematical Knowledge Management. - Marc Berges; Jonas Betzendahl; Abhishek Chugh; Michael Kohlhase; Dominic Lohr; Dennis Müller 001 (CICM, 2023)

Von Autonomem Fahren bis Zahnarzt - Vorstellungen von Schüler: innen zu Künstlicher Intelligenz und ihre Integration in den Informatikunterricht. - Annabel Lindner; Michaela Müller-Unterweger; Patrick Löffler; Dominic Lohr; Marc Berges (INFOS, 2023)

Term Extraction for Domain Modeling. - Theresa Kruse; Dominic Lohr; Marc Berges; Michael Kohlhase; Halimeh Moghbeli; Marcel Schütz (DeLFI, 2024)

Adaptive Learning Systems in Programming Education: A Prototype for Enhanced Formative Feedback. - Dominic Lohr; Marc Berges; Abhishek Chugh; Michael Striewe (DeLFI, 2024)

"Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers. - Dominic Lohr; Natalie Kiesler; Hieke Keuning; Johan Jeuring (ITiCSE (1), 2024)

Leveraging Large Language Models to Generate Course-Specific Semantically Annotated Learning Objects. - Dominic Lohr; Marc Berges; Abhishek Chugh; Michael Kohlhase; Dennis Müller 001 (J. Comput. Assist. Learn., 2025)

You're (Not) My Type- Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks? - Dominic Lohr; Hieke Keuning; Natalie Kiesler (J. Comput. Assist. Learn., 2025)

The Potential of Answer Classes in Large-scale Written Computer-Science Exams - Vol. 2. - Dominic Lohr; Marc Berges; Michael Kohlhase; Florian Rabe 001 (CoRR, 2025)