Stamper, John

New Potentials for Data‐Driven Intelligent Tutoring System Development and Optimization

Koedinger, K. R., Brunskill, E., Baker, R. S. J. D., McLaughlin, E. A., & Stamper, J. (2013) · AI Magazine

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 178

Assessing the quality of student-generated short answer questions using GPT-3

Moore, S., Nguyen, H. A., Bier, N., Domadia, T., & Stamper, J. (2022) · Lecture Notes in Computer Science

Artificial Intelligence in EducationOnline Learning and Analytics

Cited by 93

A Framework for Using Hypothesis-Driven Approaches to Support Data-Driven Learning Analytics in Measuring Computational Thinking in Block-Based Programming Environments

Grover, S., Basu, S., Bienkowski, M., Eagle, M., Diana, N., & Stamper, J. (2017) · ACM Transactions on Computing Education

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 93

Human-Machine Student Model Discovery and Improvement Using DataShop

Stamper, J. C., & Koedinger, K. R. (2011) · Lecture Notes in Computer Science

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 58

Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms

Kumar, H., Xiao, R., Lawson, B., Musabirov, I., Shi, J., Wang, X., Luo, H., Williams, J. J., Rafferty, A. N., Stamper, J., et al. (2024) · Proceedings of the Eleventh ACM Conference on Learning @ Scale

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 53