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Dominic Lohr
Dominic Lohr
FAU
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Towards giving timely formative feedback and hints to novice programmers
J Jeuring, H Keuning, S Marwan, D Bouvier, C Izu, N Kiesler, T Lehtinen, ...
Proceedings of the 2022 Working Group Reports on Innovation and Technology …, 2022
242022
Exploring the potential of large language models to generate formative programming feedback
N Kiesler, D Lohr, H Keuning
2023 IEEE Frontiers in Education Conference (FIE), 1-5, 2023
192023
Steps learners take when solving programming tasks, and how learning environments (should) respond to them
J Jeuring, H Keuning, S Marwan, D Bouvier, C Izu, N Kiesler, T Lehtinen, ...
Proceedings of the 27th ACM Conference on on Innovation and Technology in …, 2022
92022
Towards Criteria for Valuable Automatic Feedback in Large Programming Classes
D Lohr, M Berges
Hochschuldidaktik Informatik 2021 (HDI21) 9, 2021
32021
Learning support systems based on mathematical knowledge management
M Berges, J Betzendahl, A Chugh, M Kohlhase, D Lohr, D Müller
International Conference on Intelligent Computer Mathematics, 84-97, 2023
22023
The Y-Model – Formalization of Computer Science Tasks in the Context of Adaptive Learning Systems
D Lohr, M Berges, M Kohlhase, D Müller, M Rapp
2023 IEEE 2nd German Education Conference (GECon), 1-6, 2023
12023
Learning with ALeA: Tailored experiences through annotated course material
T Kruse, M Berges, J Betzendahl, M Kohlhase, D Lohr, D Müller
12023
The Potential of Answer Classes in Large-scale Written Computer-Science Exams
D Lohr, M Berges, M Kohlhase, F Rabe
Hochschuldidaktik Informatik 2023 (HDI23) 10, 179 - 190, 2023
12023
The Y Model-Formalization of Computer-Science Tasks in the Context of Intelligent Tutoring Systems
D Lohr, M Berges, M Kohlhase, D Müller, M Rapp
12022
Von Autonomem Fahren bis Zahnarzt-Vorstellungen von Schüler: innen zu Künstlicher Intelligenz und ihre Integration in den Informatikunterricht
A Lindner, M Müller-Unterweger, P Löffler, D Lohr, M Berges
Gesellschaft für Informatik eV, 2023
2023
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Artikelen 1–10