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physics.ed-ph2026
From Prompt Engineering to Epistemic Prompting: Prompt Trajectories as AI-Mediated Problem Framing in Science Education
Matteo Tuveri
Prompt engineering is commonly presented as a technical competence for obtaining more accurate, relevant, or well-formatted outputs from large language models (LLMs). However, in S…
physics.ed-ph2026
Generative AI in Higher Education Laboratory Learning: A Qualitative Case Study of Epistemic Scaffolding and Assessment Boundaries
Matteo Tuveri, Alessandro Riggio
Advanced physics laboratories require students to integrate disciplinary knowledge, experimental practice and scientific argumentation across complex observational and analytical t…