7 citations · 7 across the 6 of their papers we have counts for
6 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…
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…
Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM
Younghun Lee, Amir Bralin, Nobel Sanjay Rebello +1
Educational interventions are effective tools for enhancing student learning. While Large Language Models (LLMs) allow for generating adaptive feedback at scale, current studies la…
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…