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Conference Open access Aug 2026

Introducing large language models (LLMs) in physics education: A module for future teachers

In this paper, we describe the design and implementation of a pilot 5-hour educational module titled “Physics Education Meets AI” developed for master’s degree students in Physics. The module aims to build a foundational and critical understanding of Large Language Models (LLMs) among future physics teachers, prioritiz...

E. Tufino · 0 citations
Preprint Aug 2026

A multi-agent AI classroom based on dual-process reasoning hazards: a pilot with prospective physics teachers

A simulated class of five AI students, each consistently enacting a distinct reasoning pattern drawn from the dual-process theory (DPT) framework of physics education research, is described and its first use in a university course for prospective physics teachers is reported on.

E. Tufino · 0 citations

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