Work-in-progress—The Effect of Students’ Perceptions on Intention to use Metaverse Learning Environment in Higher Education
Kukhyeon Kim, Eunbyul Yang, Jeeheon Ryu
20222022 8th International Conference of the Immersive Learning Research Network (iLRN)34 citationsDOI
Abstract
The purpose of this work-in-progress study is to identify the predictiveness of perceived ease to use(PEU), perceived usefulness (PU), perceived enjoyment (PE), and frequency of experience (FE) on the intention to use (IU) a metaverse-based learning environment. A total of 226 undergraduate students participated in the metaverse-based learning using V-story (VirBELA) for a one-semester. Multiple regression was used for data analysis. As a result, PU, PE, and PEU predicted IU in the metaverse-based learning environment. This study empirically analyzed the acceptance factors of learners in a metaverse-based learning environment and is meant as basic data for metaverse research in a learning environment.
Topics & Concepts
MetaversePerceptionLearning environmentComputer sciencePsychologyMathematics educationHuman–computer interactionVirtual realityNeuroscienceEducation and Learning InterventionsDiverse Topics in Contemporary ResearchTechnology Adoption and User Behaviour