Stefan Küchemann

Orcid: 0000-0003-2729-1592

According to our database1, Stefan Küchemann authored at least 14 papers between 2020 and 2026.

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Timeline

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Bibliography

2026
Personalized Multimodal Feedback Using Multiple External Representations: Strategy Profiles and Learning in High School Physics.
CoRR, January, 2026

Exploring the role of conceptual knowledge and representational competence in an augmented reality physics environment.
Comput. Educ., 2026

2025
Gaze-Based Prediction of Students' Math Difficulties - A Time Dynamic Machine Learning Approach to Enable Early Individual Assistance.
Int. J. Artif. Intell. Educ., December, 2025

Visualization enhances Problem Solving in Multi-Qubit Systems: Data.
Dataset, May, 2025

Lessons learned from designing an open-source automated feedback system for STEM education.
Educ. Inf. Technol., April, 2025

2024
Harnessing large language models to develop research-based learning assistants for formative feedback.
Smart Learn. Environ., December, 2024

Challenges and Opportunities of Moderating Usage of Large Language Models in Education.
Proceedings of the International Conference on Mobile and Ubiquitous Multimedia, 2024

Unreflected Acceptance - Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education.
Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

2021
Mobile Eye-Tracking Data Analysis Using Object Detection via YOLO v4.
Sensors, 2021

The Predictive Power of Eye-Tracking Data in an Interactive AR Learning Environment.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

2020
Classification of Visual Strategies in Physics Vector Field Problem-solving.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Quantifying Gaze-Based Strategic Patterns in Physics Vector Field Divergence.
Proceedings of the Agents and Artificial Intelligence, 12th International Conference, 2020

Gaze-Based Prediction of Students' Understanding of Physics Line-Graphs: An Eye-Tracking-Data Based Machine-Learning Approach.
Proceedings of the Computer Supported Education - 12th International Conference, 2020

Classification of Students' Conceptual Understanding in STEM Education using Their Visual Attention Distributions: A Comparison of Three Machine-Learning Approaches.
Proceedings of the 12th International Conference on Computer Supported Education, 2020


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