117 citations · 274 across the 18 of their papers we have counts for
20 papers
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…
AI-Supported Mini-Labs: Combining Smartphone-Based Experiments and Multimodal AI
Jochen Kuhn, David J. Rakestraw, Stefan Küchemann +1
This paper presents the concept of AI-supported Mini-Labs, combining smartphone-based experiments with multimodal large language models (MLLMs). Smartphones, with their integrated…
Comparing Visual Qubit Representations in Quantum Education: The Bloch sphere Enhances Task Efficiency
Linda Qerimi, Sarah Malone, Eva Rexigel +2
Visual-graphical qubit representations offer a means to introduce abstract quantum concepts - such as quantum state, superposition, or measurement - in an accessible manner, partic…
Visualization enhances Problem Solving in multi-Qubit Systems
Jonas Bley, Eva Rexigel, Alda Arias +7
Quantum Information Science (QIS) is a vast, diverse, and abstract field. In consequence, learners face many challenges. Science, Technology, Engineering, and Mathematics (STEM) ed…
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…
AI Support Meets AR Visualization for Alice and Bob: Personalized Learning Based on Individual ChatGPT Feedback in an AR Quantum Cryptography Experiment for Physics Lab Courses
Atakan Coban, David Dzsotjan, Stefan Küchemann +3
Quantum cryptography is a central topic in the quantum technology field that is particularly important for secure communication. The training of qualified experts in this field is…
Quantum cryptography visualized: assessing visual attention on multiple representations with eye tracking in an AR-enhanced quantum cryptography student experiment
David Dzsotjan, Atakan Coban, Christoph Hoyer +4
With the advent and development of real-world quantum technology applications, a practically-focused quantum education including student quantum experiments are gaining increasing…
Visualizing Quantum States: A Pilot Study on Problem Solving in Quantum Information Science Education
Jonas Bley, Eva Rexigel, Alda Arias +8
In the rapidly evolving interdisciplinary field of quantum information science and technology, a major obstacle is the need to understand advanced mathematics to solve complex prob…
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…
Newspaper Story Problems and Other Tasks for Context Based Physics Education: A Research Based report on classroom practice
Jochen Kuhn, Andreas Müller, Patrik Vogt
Background: Context Based Science Education (CBSE) has a long-standing tradition and is discussed as a highly promising approach in science education. It is supposed that CBSE can…
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…