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Statistical SEM-ANN Approaches for Metaverse Adoption in Education |
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PP: 667-681 |
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Author(s) |
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Hisham Abdel Razaq Foudeh,
Yunus Yusoff,
Mohd Hazli Mohamed Zabil,
Lim Kok Cheng,
Mohamad Shakri Mohmad Shariff,
Mohamed Ahmed Hafez,
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Abstract |
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| The emergence of immersive virtual environments, such as the metaverse, presents promising opportunities to
enhance and transform higher education. However, the effective integration of these technologies requires a nuanced understanding of the factors that influence user adoption. This study investigates the key determinants affecting the adoption of metaverse technology within higher education institutions in Jordan. The study uses a hybrid model that combines the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Information Culture Theory(ICT). Data were collected using structured questionnaires from a stratified sample of 383 students at two Jordanian universities. Data were analyzed using a two-stage analytical framework: structural equation modelling (SEM) via SmartPLS 4 and artificial neural networks (ANN). The results showed that Performance Expectancy, Hedonic Motivation, Cultural Attitudes, Information Integrity, Personal Innovativeness, and Perceived Privacy had medium-sized, statistically significant positive effects on behavioral intention to adopt Metaverse technology. In contrast, perceived risks have emerged as notable inhibitors of behavioral intention to use, underscoring the urgent need to alleviate users concerns about data security and the potential negative consequences of adopting this technology. Furthermore, the study emphasized the importance of social and cultural
structures, as cultural attitudes towards change and innovation significantly influence adoption behavior |
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