Hao He, Xinhao Xu, Shangman Li, Fang Wang, Isaac Schroeder, Eric M Aldrich, Scottie D Murrell, Lanxin Xue, Yuanyuan Gu
Cave Automatic Virtual Environment (CAVE) is a virtual reality (VR) environment that has not been fully studied due to its high cost and complexity in system integration. Previous CAVE-related studies mainly focused on comparing its effectiveness with other learning media, such as textbooks, desktop VR, or head-mounted display (HMD) VR. In this study, through the utilization of CAVE in a meteorology class, we concentrated on CAVE itself, measured how CAVE impacted learners' learning outcomes before and after using CAVE in an actual ongoing undergraduate-level class, and investigated how learners perceived their learning experiences...
March 4, 2024: IEEE Transactions on Visualization and Computer Graphics