20 citations · 32 across the 27 of their papers we have counts for
24 papers · 1 filter
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…
Exploring Students' Perceptions of Using Generative AI-Assisted Problem Posing
Lindsay Dawson, N. Sanjay Rebello
Problem posing, a pedagogical practice that asks students to generate novel problems or meaningful variations to problems encountered, supports transfer of learning and strengthens…
A bottom-up taxonomy of student discourse with a Socratic AI physics tutor
Syed Furqan Abbas Hashmi, N. Sanjay Rebello
Large language model (LLM) tutors are being deployed in introductory physics courses at a scale that produces transcript corpora far larger than traditional qualitative coding can…
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…
Assessing AI in Introductory Physics Problem Solving
Amir Bralin, N. Sanjay Rebello
Reasoning or inference-scaling models are the new generation of Large Language Models (LLMs) capable of complex problem solving. To investigate their problem-solving capability in…
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…