From the 1 of 6 linked papers with an AI index.
4 papers · 1 filter
Assessing AI in Introductory Physics Problem Solving
Amir Bralin, N. Sanjay Rebello
The paper evaluates OpenAI's o4-mini large language model on introductory physics problems from Halliday and Resnick, finding about 90% overall accuracy but lower performance on im…
Using Large Language Models to Analyze Engagement in Computational Thinking via Computational Physics Essays
Sean Savage, Amir Bralin, Paul Hur +1
As computational thinking (CT) becomes increasingly important to physics education, the need for authentic, project-based assessments has grown. While open-ended multimodal assignm…
AI Reasoning Models for Problem Solving in Physics
Amir Bralin, N. Sanjay Rebello
Reasoning models are the new generation of Large Language Models (LLMs) capable of complex problem solving. Their reliability in solving introductory physics problems was tested by…
Investigating the Design-Science Connection in a multi-week Engineering Design (ED)-based introductory physics laboratory task
Ravishankar Chatta Subramaniam, Nikhil Borse, Amir Bralin +3
Reform documents advocate for innovative pedagogical strategies to enhance student learning. A key innovation is the integration of science and engineering practices through Engine…