Dominic Lohr

Professorship for Computer Science Education Lehrstuhl für Angewandte Mathematik (Wissenschaftliches Rechnen)

ALeA : Advancing Personalized Learning with Adaptive Assistance and Semantic Annotation (2025) Grelka F, Lohr D, Berges MP Conference contribution, Abstract of lecture Introducing a self-study course for learning textual programming at highschool with APFEL and ALeA (2025) Lohr D, Wechsler L, Berges MP Conference contribution, Abstract of lecture Efficient Exam Correction at Scale: Streamlining Paper-Based Assessments with the VoLl-KOrN System (2025) Betzendahl J, Lohr D, Berges MP, Kohlhase M Book chapter / Article in edited volumes You’re (Not) My Type - Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks? (2025) Lohr D, Keuning H, Kiesler N Journal article, Original article Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects (2024) Lohr D, Berges MP, Chugh A, Kohlhase M, Müller D Journal article, Original article Adaptive Learning Systems in Programming Education: A Prototype for Enhanced Formative Feedback (2024) Lohr D, Berges MP, Chugh A, Striewe M Conference contribution, other Term Extraction for Domain Modeling (2024) Kruse-Kurbach T, Lohr D, Berges MP, Kohlhase M, Moghbeli Damaneh H, Schütz M Conference contribution, Conference Contribution „Let Them Try to Figure It Out First“ – Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers (2024) Lohr D, Kiesler N, Keuning H, Jeuring J Conference contribution, Conference Contribution Von Autonomem Fahren bis Zahnarzt - Vorstellungen von Schüler:innen zu Künstlicher Intelligenz und ihre Integration in den Informatikunterricht (2023) Lindner A, Müller-Unterweger M, Löffler P, Lohr D, Berges MP Conference contribution, Conference Contribution The Potential of Answer Classes in Large-scale Written Computer-Science Exams (2023) Lohr D, Berges MP, Kohlhase M, Rabe F Conference contribution, Conference Contribution