collaborators

7 papers

physics.ed-ph2026

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

Eugenio Tufino

Responding productively, in real time, to the reasoning students actually produce is among the most difficult and slowest to acquire of the skills physics teachers develop, and pro…

physics.ed-ph2026

Embodied inquiry with AI as facilitator: an exploratory case study

Eugenio Tufino, Paola Damiani

Generative AI is entering science education at a time when the embodied education community is asking what such systems cannot do. Rather than asking whether AI can understand the…

physics.ed-ph2026

Performance and failure modes of AI chatbots on a novel concept inventory on relativity in classical mechanics

Eugenio Tufino, Caterina Giovanzana, Andrea Zamboni +2

AI chatbots are increasingly used by students as study tools in physics, raising practical questions about their reliability on conceptual tasks. Existing evaluations of large lang…

physics.ed-ph2026

Demystifying the oracle: A "20 Questions" game to promote AI ethics and literacy

Eugenio Tufino

As Generative AI becomes a key component in physics education, a significant ethical challenge has emerged: the tendency of students to anthropomorphize Large Language Models (LLMs…

physics.ed-ph2025

Creating a customisable Socratic AI physics tutor

Eugenio Tufino, Bor Gregorcic

This paper explores role engineering as an effective paradigm for customizing Large Language Models (LLMs) into specialized AI tutors for physics education. We demonstrate this met…

physics.ed-ph2025

NotebookLM as a Socratic physics tutor: Design and preliminary observations of a RAG-based tool

Eugenio Tufino

This study explores NotebookLM, a Google Gemini - powered AI platform that integrates Retrieval-Augmented Generation (RAG) as a Socratic tutor for physics education. In this implem…