Investigating Interaction Behaviors of Learners in VR Learning Environment

Abstract

The education researchers use self-reported questionnaires, physiological sensors, and human observers to study the effects of VR in education. The above-mentioned existing data collection mechanisms do not provide information related to the interaction behavior of the learners in VR Learning Environments (VRLE). As a result, understanding the learning processes from the perspective of learners' behavior in VRLE is still in its infancy. Hence, we developed a mechanism that is able to automatically log all the interaction behavior of the learners happening in VRLE along with timestamps. In this paper, we discuss the study conducted with 14 undergraduate engineering students after deploying the developed real-time Interaction Behavioral Data (IBD) collection mechanism in a room-scale VRLE, Maroon VR. The IBD collected will be analyzed to understand the VR behavior of the learners and the learning processes happening in VRLE. The results of the study could be further utilized to model the learners' behavior in VR and to provide adaptive personalized VR learning content.