Küchemann, Stefan

ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education

Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 7,552

ChatGPT for good? On opportunities and challenges of large language models for education

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 7,326

Can ChatGPT support prospective teachers in physics task development?

Küchemann, S., Steinert, S., Revenga, N., Schweinberger, M., Dinc, Y., Avila, K. E., & Kuhn, J. (2023) · Physical Review Physics Education Research

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 132

Educational data augmentation in physics education research using ChatGPT

Kieser, F., Wulff, P., Kuhn, J., & Küchemann, S. (2023) · Physical Review Physics Education Research

Artificial Intelligence in EducationScience Education and Pedagogy

Cited by 108

Unreflected Acceptance – Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education

Krupp, L., Steinert, S., Kiefer-Emmanouilidis, M., Avila, K. E., Lukowicz, P., Kuhn, J., Küchemann, S., & Karolus, J. (2024) · Frontiers in Artificial Intelligence and Applications

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 82

Harnessing large language models to develop research-based learning assistants for formative feedback

Steinert, S., Avila, K. E., Ruzika, S., Kuhn, J., & Küchemann, S. (2024) · Smart Learning Environments

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 73

On opportunities and challenges of large multimodal foundation models in education

Küchemann, S., Avila, K. E., Dinc, Y., Hortmann, C., Revenga, N., Ruf, V., Stausberg, N., Steinert, S., Fischer, F., Fischer, M., et al. (2025) · npj Science of Learning

Multimodal Machine Learning ApplicationsArtificial Intelligence in Education

Cited by 47

The relation of representational competence and conceptual knowledge in female and male undergraduates

Edelsbrunner, P. A., Malone, S., Hofer, S. I., Küchemann, S., Kuhn, J., Schmid, R., Altmeyer, K., Brünken, R., & Lichtenberger, A. (2023) · International Journal of STEM Education

Science Education and PedagogyVisual and Cognitive Learning Processes

Cited by 19