Relationship Between Learners' Experience and Diagnostic Accuracy in Simulations: Insights From Medical and Teacher Education

• In Event: AERA Poster Session 1
  In Poster Session: Integrating Technology in Education (San Diego)

Abstract

Simulation-based learning is increasingly implemented across different domains in higher education. But can insights about simulation features promoting better learners´ experience and learning outcomes be generalized and transferred across domains? To enable cross-domain research and generalizability of findings, we investigate measurement invariance of measures across multiple studies. Next, we explore the relationships between learners’ experience within simulation-based learning environments and their diagnostic accuracy across different simulation types. We conclude that (1) learner’s experience ratings allow for cross-domain comparison of simulation effectiveness; (2) cognitive demand seems to lower perceived authenticity and involvement as well as lower the accuracy of diagnosis and (3) the type of simulation provides a better explanation for variation of effects of simulations than content domains.

Authors

• Olga Chernikova, Ludwig Maximilian University Munich

• Matthias Stadler, Ludwig-Maximilians-Universität München

• Daniel Sommerhoff, Leibniz Institute for Science and Mathematics Education

• Christian Schons, Technical University of Munich

• Nicole Heitzmann, University of Munich

• Doris Holzberger, Goethe University

• Tina Seidel, Technical University of Munich

• Constanze Richters, Ludwig-Maximilians-Universität München

• Amadeus Jonathan Pickal, University of Hildesheim

• Christof Wecker, University of Munich

• Michael Nickl, Technical University of Munich

• Elias Codreanu, Technical University of Munich

• Stefan Ufer, University of Munich

• Stephanie Kron, University of Munich

• Caroline Charlotte Corves, Ludwig-Maximilians-Universität München

• Martin Richard Fischer, Clinics LMU Munich

• Frank Fischer, Ludwig-Maximilians-Universität München