117 citations · 271 across the 9 of their papers we have counts for
11 papers
Combining heavy-tailed keystroke dynamics with eye tracking reveals temporal flexibility in human problem solving
Yavuz Dinc, Fabian Kieser, Peter Wulff +5
Human problem solving unfolds through complex temporal dynamics that reflect the coordination of perception, cognition, and action. The fine structure of this process is still not…
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…
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…
Lessons Learned from Designing an Open-Source Automated Feedback System for STEM Education
Steffen Steinert, Lars Krupp, Karina E. Avila +11
As distance learning becomes increasingly important and artificial intelligence tools continue to advance, automated systems for individual learning have attracted significant atte…
Challenges and Opportunities of Moderating Usage of Large Language Models in Education
Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis +5
The increased presence of large language models (LLMs) in educational settings has ignited debates concerning negative repercussions, including overreliance and inadequate task ref…
Harnessing Large Language Models to Enhance Self-Regulated Learning via Formative Feedback
Steffen Steinert, Karina E. Avila, Stefan Ruzika +2
Effectively supporting students in mastering all facets of self-regulated learning is a central aim of teachers and educational researchers. Prior research could demonstrate that f…
Unreflected Acceptance -- Investigating the Negative Consequences of ChatGPT-Assisted Problem Solving in Physics Education
Lars Krupp, Steffen Steinert, Maximilian Kiefer-Emmanouilidis +5
Large language models (LLMs) have recently gained popularity. However, the impact of their general availability through ChatGPT on sensitive areas of everyday life, such as educati…
Educational data augmentation in physics education research using ChatGPT
Fabian Kieser, Peter Wulff, Jochen Kuhn +1
Generative AI technologies such as large language models show novel potentials to enhance educational research. For example, generative large language models were shown to be capab…
Visualizing Entanglement in multi-Qubit Systems
Jonas Bley, Eva Rexigel, Alda Arias +8
In the field of quantum information science and technology, the representation and visualization of quantum states and related processes are essential for both research and educati…
Physics task development of prospective physics teachers using ChatGPT
Stefan Küchemann, Steffen Steinert, Natalia Revenga +4
The recent advancement of large language models presents numerous opportunities for teaching and learning. Despite widespread public debate regarding the use of large language mode…