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Active Learning with Generative AI in Introductory Physics: A Multi-Institutional Study of the P-A.I.R. Framework
Bilas Paul, Shantanu Chakraborty, Shruti Shrestha +2
Generative AI tools have become part of how students study physics, yet unstructured use may reduce students' opportunities to work through problems independently. The Physics AI-R…
P-A.I.R.: A Structured AI-Replication Framework for Active Learning in Introductory Physics
Bilas Paul
The growing use of generative AI tools among students raises an important pedagogical question: how can AI be structured to promote active learning rather than passive answer-seeki…
Who Gets to Do Physics? Occupational Stereotypes in AI-Generated Problem Sets
Bilas Paul
As AI-generated problem sets gain traction in introductory physics courses, their technical correctness is well established - but the social assumptions embedded in their framing h…
How Well Do AI Systems Solve AP Physics? A Comparative Evaluation of Large Language Models on Algebra-Based Free Response Questions
Bilas Paul, Jashandeep Kaur, Shantanu Chakraborty +1
The rapid advancement of LLMs has generated growing interest in their potential role in physics education and assessment, yet a focused evaluation of their performance on multi-fac…