Examining Self-Efficacy through Movement during VR-based Chemistry Lab Learning: An Optical Flow Analysis Approach

• In Event: AERA Poster Session Friday 9:45am
  In Poster Session: STEM Education and Computational Learning Innovations

Abstract

Immersive virtual reality (IVR) engages learners in embodied simulations to develop practical skills and knowledge. This study applies a Complex Dynamical Systems (CDS) lens to examine how self-efficacy and movement dynamics (quantified via optical flow-derived jerk) co-evolve during IVR chemistry learning. Linear mixed-effects and regression models showed that jerk decreased over time, and self-efficacy change significantly moderated jerk in later gameplay. An interaction between jerk and changes in self-efficacy also predicted learning outcomes, suggesting smoother movement paired with increased confidence supports better performance. By integrating the CDS framework with the CAMIL model, this work reveals how dynamic motivational-affective states manifest behaviorally and influence STEM learning in IVR environments.

Authors

• Megan Wiedbusch, University of Central Florida

• Roger Azevedo, University of Central Florida