3 papers
physics.ed-ph2026
Personalized Multimodal Feedback Using Multiple External Representations: Strategy Profiles and Learning in High School Physics
Natalia Revenga-Lozano, Karina E. Avila, Steffen Steinert +4
Multiple external representations (MERs) and personalized feedback support physics learning, yet evidence on how personalized feedback can effectively integrate MERs remains limite…
physics.ed-ph2026
It's Not the Tool, It's the Task: A Framework for Cognitively Activated AI Augmentation in Physics Instruction
Jochen Kuhn, Stefan Küchemann, Dave Rakestraw +1
Generative artificial intelligence (AI) systems can now reliably solve many standard tasks used in introductory physics courses, producing correct equations, graphs, and explanatio…
physics.ed-ph2025
Hands-on Experiment Supported by Augmented Reality Smartglasses for Learning the Lorentz Force
Max Warkentin, Kristin Altmeyer, Yajie Liang +6
Previous research has shown that inquiry-based learning through hands-on experiments, as well as learning with multiple, external representations (MERs) can promote the understandi…