Development of LLM-Based Tools for Physics Education

The project seeks to explore the potential of large language models (LLMs) to support physics learning at the high school and college levels. Through careful evaluation of LLMs’ ability to clarify concepts such as mechanics and electromagnetism, alongside the creation of clear visualizations and educator-focused resources, we aim to contribute modestly to making physics more approachable for students. Conducted in collaboration with VisFuture, this project aspires to advance educational technology and support Canada’s STEM education efforts, with findings to be shared respectfully on https://www.visfuture.com/ for the benefit of the broader teaching community.

Faculty Supervisor:

Jimmy Huang

Student:

Partner:

VisFuture

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

York University

Program:

Business Strategy Internship

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