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Steffen Steinert; Karina E. Avila; Stefan Ruzika; Jochen Kuhn; Stefan Küchemann – Smart Learning Environments, 2024
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 formative feedback is an effective way to support students during self-regulated learning. In this light, we propose the application of Large Language Models (LLMs) to…
Descriptors: Formative Evaluation, Feedback (Response), Natural Language Processing, Artificial Intelligence
Verena Ruf; Yavuz Dinc; Stefan Küchemann; Markus Berndt; Steffen Steinert; Daniela Kugelmann; Jonathan Bortfeldt; Jörg Schreiber; Martin R. Fischer; Jochen Kuhn – Physical Review Physics Education Research, 2024
Graphical representations of data are common in many disciplines. Previous research has found that physics students appear to have better graph comprehension skills than students from social science disciplines, regardless of the task context. However, the graph comprehension skills of physics students have not yet been compared with (veterinary)…
Descriptors: Artificial Intelligence, Graphs, Comprehension, College Freshmen