Learning Prerequisites of Simulation-Based Trainings for Diagnostic Competences: An Interdisciplinary Study

• In Event: 63.086 - Sheraton Roundtable 11 - Osgoode Ballroom
  In Roundtable Session: 63.086-2 - Simulations for Knowledge Development

Abstract

Teaching diagnostic competences is an important goal in higher education and simulations are a promising tool to achieve it. However, we do not know enough about learning prerequisites of simulations and complex learning environments may leave weaker learners behind. This study looked at simulation-based learning in math and medicine. In math students had to diagnose the competence level of third-graders. In medicine, students had to diagnose possible diseases of patients. None of the regressions predicting task performance with potential learning prerequisites (shifting, interest, motivation, extraneous load, presence) were significant. While disappointing from the perspective of theory development, this result hints that carefully designed and authentic simulations are a promising tool to teach diagnostic competences to all learners.

Authors

• Ansgar Opitz, Ludwig-Maximilians-Universität München

• Anika Radkowitsch, Ludwig-Maximilians-Universität München

• Angelika Wildgans, Technical University of Munich

• Kristina Maria Reiss, Technische Universitaet Munich

• Martin Richard Fischer, Clinics LMU Munich

• Ralf Schmidmaier, Clinics LMU Munich

• Andreas Obersteiner, University of Education - Freiburg

• Frank Fischer, Ludwig Maximilian University of Munich