Personalised support for task-based diagnosing and intervening in mathematics and physics based on eye movements and log data (A03)

• Subject Area: General and Domain-Specific Teaching and Learning
• Term: since 2025
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 542251251

A03 experimentally investigates the effects of pedagogical content knowledge as a prerequisite for learning to diagnose and intervene in mathematics and physics. A particular focus is on learners’ use of the diagnostic potential of tasks to generate evidence about pupils’ understanding and on selecting learning tasks for pupils. In three studies, eye-tracking and log data are used to identify effective adjustment bases for personalised learning process scaffolding. Learning process scaffolding will be implemented by providing learners with the necessary pedagogical content knowledge or prompting them to apply this knowledge during the simulation.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 419: Simulation-based learning in higher education: advancing research on process diagnostics and personalized interventions (SHARP)
• Applicant Institution: Ludwig-Maximilians-Universität München
• Project Heads: Dr. Stefan Küchemann; Professor Dr. Andreas Obersteiner; Professor Dr. Matthias Stadler