117 citations · 274 across the 18 of their papers we have counts for
5 papers · 1 filter
Available but Unclaimed: An Empirical Study of Human-AI Synergy
Robin Welsch, Michelle Rausch, Pascal Knierim +4
People increasingly reason with large language models (LLMs), yet complementary capabilities do not guarantee outperforming both components. In a between-subjects study, participan…
AI-Augmented Inquiry and Regulation in Hybrid Systems: A Control Allocation Architecture for Preserving Epistemic Agency in Hybrid Human-AI Cognition
Jochen Kuhn, Peter Gerjets, Ulrich Trautwein +4
Generative artificial intelligence (genAI) systems are increasingly integral to epistemic processes such as hypothesis generation, explanation construction, and decision-making. Al…
AI-based Verbal and Visual Scaffolding in a Serious Game: Effects on Learning and Cognitive Load
Caroline Wermann, Karina E. Avila, Sebastian André +8
Due to their interactive nature, serious games offer valuable opportunities for supporting learning in educational contexts. Recent advances in large language models (LLMs) have fu…
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…
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…