AI-based scoring systematically underestimates conceptual understanding of linguistically weak students' explanations in physics
Authors: Markus S. Feser, Paul L. Tschisgale (Leibniz Institute for Science and Mathematics Education, Kiel, Germany) Source: arXiv:2607.28210 (physics.ed-ph, July 2026) Key Findings This study examined whether AI-based scoring can assess students' conceptual understanding indepe...
Socratic Physics Chatbot
— A custom Socratic AI chatbot deployed in a large-enrollment introductory mechanics course with 150 first-year STEM majors, demonstrating that AI-driven Socratic dialogue can foster expert-like reasoning while generating fine-grained learning analytics for physics education rese...