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TRR 419:  Simulation-based learning in higher education: advancing research on process diagnostics and personalized interventions (SHARP)

Subject Area Social and Behavioural Sciences
Computer Science, Systems and Electrical Engineering
Term since 2025
Website Homepage
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 542251251
 
The overarching goal of the Collaborative Research Centre (CRC) SHARP is to contribute to theory-building on personalising learning using simulations in higher education. As a joint research context, SHARP focuses on diagnosing and intervening as two highly relevant professional practices in many academic professions. Researchers from psychology, educational science, and subject-matter teaching and learning in medicine, biology, chemistry, computer science, mathematics and physics will engage in research based on a joint conceptual framework and a set of overarching research questions. The framework focuses on learning prerequisites, learning processes, as well as learners’ knowledge and skills, and the effects of personalised scaffolding and feedback in simulations. Simulations entail representations of practice intended to approximate specific professional practices. The framework differentiates three levels of personalisation: learning prerequisites (macro), multiple problem-solving tasks (meso), and continuously measured processes and activities (micro). Main research questions are: What are the effects of personalised design features of simulations on learning processes, as well as diagnostic and intervention skills? To what extent and how can learning prerequisites, as well as diagnostic and intervention-related activities, be used as a basis for personalisation in simulation-based learning? To what extent can the effects be replicated and generalised? Eighteen primary research projects will empirically test specific hypotheses mapped to these overarching questions. The projects are assigned to three project areas defined by the particular demands of professional practice situations: (A) ‘Tasks and strategies’ addresses questions that focus on personalising simulated professional tasks effectively and the required (meta)cognitive strategies; (B) ‘Social interaction, collaboration and feedback’ focuses on the effective personalisation of situations in which interpersonal professional skills are particularly important; and (C) ‘Complex visual information processing’ addresses personalisation in professional situations characterised by high demands related to temporal density and situation dynamics. An overarching research project (M) will meta-analytically integrate the findings and contribute to overarching theory-building. An information infrastructure project (INF) will ensure a state-of-the-art technical implementation of personalised simulations for experimental studies as well as an advanced research data management. In three funding phases, the CRC will investigate conditions for personalised simulations, conditions of close approximations of practice, and, finally, will generalise and expand its results to other fields in higher education. The CRC will contribute to the effective dissemination of its findings in higher education, e.g. through transfer workshops in collaboration with continuing education centres of the universities.
DFG Programme CRC/Transregios

Current projects

Co-Applicant Institution Technische Universität München (TUM)
Participating University Universität Augsburg
 
 

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