#816: Assessing Learning Processes with Multimodal Data in Virtual Reality Learning Environments

Assessing learning in virtual reality (VR) environments typically relies on traditional pre-post content retention tests, revealing little about the process of learning within such immersive environments. Multimodal data from player activity in VR is promising to better measure learning processes and higher-order skills, but little research in the learning sciences has explored how such data can be combined to provide meaningful measures. To address this, we explored multimodal sources of data from a VR escape room containing hands-on logic puzzles that require problem-solving strategies and engagement in verbal metacognitive reflections. We leverage VR’s affordances to immerse users in sustained dialog and promote multimodal interactions in a digital environment to understand how logfile and verbal data reveal participants’ reasoning skills versus guesswork.