Exploring the influence of the learning Metaverse on student satisfaction: an integrated framework of dual-congruity theory and interactive learning environment features

ABSTRACT

Employing Metaverse platforms for teaching is an emerging form of computer-assisted education, and such courses often require students to first learn how to operate relevant platforms. Learning to use the platform is a course itself. In this context, this study develops a predictive model to explore students’ satisfaction with learning to operate the Metaverse platforms. We used the dual-congruity theory as the basis for the study, focusing on the features of Metaverse interactive learning environment as the causative factors. A total of 486 respondents who have learned the Metaverse were collected, and partial least squares method was adopted to evaluate the model and test the hypothesis. The study findings reveal that visual appeal, escapism, and perceived Metaverse quality are predictors of self-congruity and perceived diagnosticity, which positively influence students’ learning satisfaction. The study provides recommendations for both education establishments and professionals who develop Metaverse platforms. This study contributes to the academic development of Metaverse education and serves as a guide for better learning effectiveness and satisfaction in information education.

KEYWORDS:

• Metaverse
• dual-congruity theory
• interactive learning environment
• information education
• satisfaction

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Tsung-Sheng Chang

Tsung-Sheng Chang is an associate professor in the Department of Information Management at Da-Yeh University in Taiwan. He served at Hewlett-Packard in Taiwan. He has received the Project Management Training Award from the Chinese National Project Management Association (NPMA). His current research interests are in the areas of intelligent systems and efficiency, digital culture and social issues. His articles appeared in the Technological Forecasting & Social Change, Journal of Enterprise Information Management, Journal of Retailing and Consumer Services, Journal of Manufacturing Technology Management, Asia Pacific Journal of Marketing and Logistics, Behaviour & Information Technology, Cyberpsychology Behavior and Social Networking, and others.

Wei-Hung Hsiao

Wei-Hung Hsiao is an associate professor in the Department of Distribution Management at the National Taichung University of Science and Technology. He received a Ph.D. in Information and management from National Chung Cheng University. He has published several papers in International Journal of Information Management, International Journal of Mobile Communications, International Journal of Consumer Studies, Journal of Organizational Computing and Electronic Commerce, Journal of Enterprise Information Management, Cyberpsychology, Behaviour and Social Networking, Behaviour and Information Technology, Systems Research and Behavioural Science, and others. His primary research interests include smart retail, smart logistic and consumer behavior.