collaborators

5 papers

cs.DB2026

SchemaLink: An Intelligent Web Editor for LinkML Schema Curation

Emanuele Cavalleri, Paolo Perlasca, J. Harry Caufield +3

Motivation: LinkML is a suitable language for the representation of the structural and content constraints of different kinds of biomedical data. Even if it is a quite recent propo…

physics.ed-ph2026

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…

physics.ed-ph2026

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…

cs.CL2026

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…

physics.ed-ph2025

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…