Dominic Lohr

Professur für Didaktik der Informatik Lehrstuhl für Angewandte Mathematik (Wissenschaftliches Rechnen)

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 Exploring the Potential of Large Language Models to Generate Formative Programming Feedback (2023) Kiesler N, Lohr D, Keuning H Conference contribution, Conference Contribution Learning Support Systems based on Mathematical Knowledge Management (2023) Berges MP, Betzendahl J, Chugh A, Kohlhase M, Lohr D, Müller D Conference contribution, Conference Contribution The Y-Model - Formalization of Computer-Science Tasks in the Context of Adaptive Learning Systems (2023) Lohr D, Berges MP, Kohlhase M, Müller D, Rapp M Conference contribution, Conference Contribution Learning with ALeA: Tailored experiences through annotated course material (2023) Kruse T, Berges MP, Betzendahl J, Kohlhase M, Lohr D, Müller D Conference contribution, Conference Contribution Towards Giving Timely Formative Feedback and Hints to Novice Programmers (2022) Jeuring J, Keuning H, Marwan S, Bouvier D, Izu C, Kiesler N, Lehtinen T, et al. Conference contribution