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2020 – today
- 2024
[j2]Steffen Steinert, Karina E. Avila
, Stefan Ruzika, Jochen Kuhn, Stefan Küchemann:
Harnessing large language models to develop research-based learning assistants for formative feedback. Smart Learn. Environ. 11(1): 62 (2024)- [c7]Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis, Karina E. Avila, Paul Lukowicz, Jochen Kuhn, Stefan Küchemann, Jakob Karolus:
Unreflected Acceptance - Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education. HHAI 2024: 199-212 - [c6]Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis, Karina E. Avila, Paul Lukowicz, Jochen Kuhn, Stefan Küchemann, Jakob Karolus:
Challenges and Opportunities of Moderating Usage of Large Language Models in Education. MUM 2024: 249-254 - [i3]Steffen Steinert, Lars Krupp, Karina E. Avila, Anke S. Janssen, Verena Ruf, David Dzsotjan, Christian de Schryver, Jakob Karolus, Stefan Ruzika, Karen Joisten, Paul Lukowicz, Jochen Kuhn, Norbert Wehn, Stefan Küchemann:
Lessons Learned from Designing an Open-Source Automated Feedback System for STEM Education. CoRR abs/2401.10531 (2024) - 2023
- [i2]Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis, Karina E. Avila, Paul Lukowicz, Jochen Kuhn, Stefan Küchemann, Jakob Karolus:
Unreflected Acceptance - Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education. CoRR abs/2309.03087 (2023) - [i1]Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis, Karina E. Avila, Paul Lukowicz, Jochen Kuhn, Stefan Küchemann, Jakob Karolus:
Challenges and Opportunities of Moderating Usage of Large Language Models in Education. CoRR abs/2312.14969 (2023) - 2021
- [j1]Niharika Kumari, Verena Ruf, Sergey Mukhametov, Albrecht Schmidt, Jochen Kuhn, Stefan Küchemann:
Mobile Eye-Tracking Data Analysis Using Object Detection via YOLO v4. Sensors 21(22): 7668 (2021) - [c5]David Dzsotjan, Kim Ludwig-Petsch, Sergey Mukhametov, Shoya Ishimaru, Stefan Küchemann, Jochen Kuhn:
The Predictive Power of Eye-Tracking Data in an Interactive AR Learning Environment. UbiComp/ISWC Adjunct 2021: 467-471 - 2020
- [c4]Stefan Küchemann, Pascal Klein, Sebastian Becker, Niharika Kumari, Jochen Kuhn:
Classification of Students' Conceptual Understanding in STEM Education using Their Visual Attention Distributions: A Comparison of Three Machine-Learning Approaches. CSEDU (1) 2020: 36-46 - [c3]Stefan Küchemann, Sebastian Becker, Pascal Klein, Jochen Kuhn:
Gaze-Based Prediction of Students' Understanding of Physics Line-Graphs: An Eye-Tracking-Data Based Machine-Learning Approach. CSEDU (Selected Papers) 2020: 450-467 - [c2]Saleh Mozaffari, Mohammad Al-Naser, Pascal Klein, Stefan Küchemann, Jochen Kuhn, Thomas Widmann, Andreas Dengel:
Classification of Visual Strategies in Physics Vector Field Problem-solving. ICAART (2) 2020: 257-267 - [c1]Saleh Mozaffari, Pascal Klein, Mohammad Al-Naser, Stefan Küchemann, Jochen Kuhn, Thomas Widmann, Andreas Dengel:
Quantifying Gaze-Based Strategic Patterns in Physics Vector Field Divergence. ICAART (Revised Selected Papers) 2020: 465-481
Coauthor Index
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