SHARP

The Ludwig Maximilian University of Munich (LMU) is launching the SFB-Transregio 419 “Simulation-based learning in higher education: Advancing research on process diagnostics and personalized interventions (SHARP)” in cooperation with the Technical University of Munich (TUM).

Goals/Target group

  • Objective: To use artificial intelligence to design simulation-based learning environments in such a way that complex skills such as collaborative diagnosis and problem solving are systematically promoted, while at the same time developing the teaching skills necessary for effective integration into university curricula.

  • Target group: Students

Contents

In many practical fields, such as medical practice or school teaching, skills such as collaborative diagnosis or complex problem solving are increasingly expected.

The SHARP Collaborative Research Center is investigating how simulations can be designed to systematically promote these skills. Artificial intelligence plays a key role in determining skill levels and adapting simulations to individual needs. In addition, research is being conducted into the skills university lecturers need to effectively integrate personalized, simulation-based learning into the curriculum and their courses so that students can be better prepared for the complex demands of practical work.

Further links

project website

Funding/Timeframe

DFG, 2025–2029