Krusche, Stephan

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

Machine learning based feedback on textual student answers in large courses

Bernius, J. P., Krusche, S., & Bruegge, B. (2022) · Computers and Education: Artificial Intelligence

Online Learning and AnalyticsEducational Technology and Assessment

Cited by 75

Recommendations to Create Programming Exercises to Overcome ChatGPT

Berrezueta-Guzman, J., & Krusche, S. (2023) · 2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 27

Recommendations to Create Programming Exercises to Overcome ChatGPT

Berrezueta-Guzman, J., & Krusche, S. (2023) · IEEE International Conference on Software Engineering Education and Training (CSEE&T)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 27

vCache: Verified Semantic Prompt Caching

Schroeder, L. G., Desai, A., Cuadron, A., Chu, K., Liu, S., Zhao, M., Krusche, S., Kemper, A., Zaharia, M., & Gonzalez, J. E. (2025) · arXiv

Topic ModelingSoftware System Performance and Reliability

Cited by 0