Dominic Lohr

18 papers C 2Journal 6Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
'Ignore These Errors for Now' - How Experts Provide Feedback on Steps Novices Take Towards Solving Programming Problems.
CompEd (1)
Dominic Lohr, Natalie Kiesler, Hieke Keuning, Johan Jeuring
2025 — conf
Der Weg ist das Ziel - Ein skalierbarer Wechsel von summativem zu formativem Assessment in der Programmierausbildung mit Antwortklassen.
ABP
Dominic Lohr, Marc Berges
2025 J jnl
Leveraging Large Language Models to Generate Course-Specific Semantically Annotated Learning Objects.
J. Comput. Assist. Learn.
Dominic Lohr, Marc Berges, Abhishek Chugh, Michael Kohlhase, Dennis Müller
2025 J jnl
The Potential of Answer Classes in Large-scale Written Computer-Science Exams - Vol. 2.
CoRR
Dominic Lohr, Marc Berges, Michael Kohlhase, Florian Rabe
2025 J jnl
You're (Not) My Type- Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks?
J. Comput. Assist. Learn.
Dominic Lohr, Hieke Keuning, Natalie Kiesler
2024 — conf
"Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers.
ITiCSE (1)
Dominic Lohr, Natalie Kiesler, Hieke Keuning, Johan Jeuring
2024 — conf
Adaptive Learning Systems in Programming Education: A Prototype for Enhanced Formative Feedback.
DeLFI
Dominic Lohr, Marc Berges, Abhishek Chugh, Michael Striewe
2024 J jnl
Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects.
CoRR
Dominic Lohr, Marc Berges, Abhishek Chugh, Michael Kohlhase, Dennis Müller
2024 — conf
Term Extraction for Domain Modeling.
DeLFI
Theresa Kruse, Dominic Lohr, Marc Berges, Michael Kohlhase, Halimeh Moghbeli, Marcel Schütz
2024 J jnl
You're (Not) My Type - Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks?
CoRR
Dominic Lohr, Hieke Keuning, Natalie Kiesler
2023 C conf
Exploring the Potential of Large Language Models to Generate Formative Programming Feedback.
FIE
Natalie Kiesler, Dominic Lohr, Hieke Keuning
2023 J jnl
Exploring the Potential of Large Language Models to Generate Formative Programming Feedback.
CoRR
Natalie Kiesler, Dominic Lohr, Hieke Keuning
2023 C conf
Learning Support Systems Based on Mathematical Knowledge Management.
CICM
Marc Berges, Jonas Betzendahl, Abhishek Chugh, Michael Kohlhase, Dominic Lohr, Dennis Müller
2023 — conf
Learning with ALeA: Tailored experiences through annotated course material.
GI-Jahrestagung
Theresa Kruse, Marc Berges, Jonas Betzendahl, Michael Kohlhase, Dominic Lohr, Dennis Müller
2023 — conf
The Y-Model - Formalization of Computer Science Tasks in the Context of Adaptive Learning Systems.
GECon
Dominic Lohr, Marc Berges, Michael Kohlhase, Dennis Müller, Max Rapp
2023 — conf
Von Autonomem Fahren bis Zahnarzt - Vorstellungen von Schüler: innen zu Künstlicher Intelligenz und ihre Integration in den Informatikunterricht.
INFOS
Annabel Lindner, Michaela Müller-Unterweger, Patrick Löffler, Dominic Lohr, Marc Berges
2022 — conf
Steps Learners Take when Solving Programming Tasks, and How Learning Environments (Should) Respond to Them.
ITiCSE (2)
Johan Jeuring, Hieke Keuning, Samiha Marwan, Dennis J. Bouvier, Cruz Izu, Natalie Kiesler, Teemu Lehtinen, Dominic Lohr, Andrew Petersen, Sami Sarsa
2022 — conf
Towards Giving Timely Formative Feedback and Hints to Novice Programmers.
ITiCSE-WGR
Johan Jeuring, Hieke Keuning, Samiha Marwan, Dennis J. Bouvier, Cruz Izu, Natalie Kiesler, Teemu Lehtinen, Dominic Lohr, Andrew Petersen, Sami Sarsa