1 citations · 1 across the 4 of their papers we have counts for
4 papers
Probing AI-generated physics solutions and preparing students to critique them
Nikhil Sanjay Borse, Amir Bralin, Sean Savage +1
This study examines Artificial Intelligence (AI)-generated physics solutions from two connected perspectives: how prompt design shapes these solutions and how students can be prepa…
Using LLMs to Detect Growth in Computational Thinking in Introductory Physics
Sean Savage, Anand Shanker, Grace Michlitsch +1
As computation becomes more central to physics education, creating scalable methods to assess authentic computational thinking (CT) in students remains a critical challenge. While…
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…
Using an LLM to Investigate Students' Explanations on Conceptual Physics Questions
Sean Savage, N. Sanjay Rebello
Analyzing students' written solutions to physics questions is a major area in PER. However, gauging student understanding in college courses is bottlenecked by large class sizes, w…