From the 3 of 5 linked papers with an AI index.
5 papers
From Prompt Engineering to Epistemic Prompting: Prompt Trajectories as AI-Mediated Problem Framing in Science Education
Matteo Tuveri
The paper proposes an epistemic prompting framework for STEM education, viewing prompt engineering as an ongoing epistemic practice that shapes how students and large language mode…
Generative AI in Higher Education Laboratory Learning: A Qualitative Case Study of Epistemic Scaffolding and Assessment Boundaries
Matteo Tuveri, Alessandro Riggio
The paper presents a qualitative case study of AstroTutor, a generative AI tutor used in a master's-level advanced astrophysics laboratory, examining how students integrate the too…
Semiotic problem framing: a new framework to guide students and teachers in conceptual understanding and teaching of physics
Matteo Tuveri, Arianna Steri, Viviana Fanti
The paper introduces a Semiotic Problem Framing (SPF) framework that incorporates visual, linguistic, symbolic, and metaphorical resources into physics problem solving, offering gu…
Analogical models to introduce high school students to modern physics: an inquiry-based activity on Rutherford's gold foil experiment
M. Tuveri, E. Murgia, V. Fanti
This study presents the design and the implementation of an inquiry-based reconstruction of Rutherford's gold foil experiment. The activity engaged students in collaborative explor…
The role of natural language in understanding the universe: a teaching-learning sequence for high school students
Matteo Tuveri, Viviana Fanti
Introducing gravitational physics at high school provides educational means for bridging the gap between the image of science held by students and science itself. Natural language…