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"Extending the Technology Acceptance Model (TAM) to Predict University Students' Intentions to Use Metaverse-Based
Ahmad Samed Al-Adwan1, Na Li2, Amer Al-Adwan3
1Department of Business Technology, Business School, Al-Ahliyya Amman University, Amman, Jordan.
Education and Information Technologies
|June 26, 2023
Summary
Higher education students are more likely to adopt the metaverse for learning if they find it useful, enjoyable, and are innovative with IT. Perceived cyber risk is a key barrier, while ease of use has little impact on adoption.
Area of Science:
- Educational Technology
- Human-Computer Interaction
- Information Systems
Background:
- The metaverse offers potential for immersive online learning but its adoption in higher education is nascent.
- Factors influencing student adoption of educational metaverse technology are not well understood.
Purpose of the Study:
- To explore key factors affecting higher education students' behavioral intentions to adopt metaverse technology for education.
- To propose and test an extended Technology Acceptance Model (TAM) incorporating technological, personal, and inhibiting/enabling factors.
Main Methods:
- An extended TAM was developed, integrating technological, personal, and inhibiting/enabling factors.
- Empirical data collected via online questionnaires from 574 university students in Jordan.
- Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis was employed.
Main Results:
- Perceived usefulness, personal innovativeness in IT, and perceived enjoyment significantly enable metaverse adoption intentions.
- Perceived cyber risk is a major inhibitor of metaverse adoption.
- Perceived ease of use showed an insignificant effect on adoption intentions.
Conclusions:
- Personal innovativeness, self-efficacy, and perceived cyber risk significantly influence perceived usefulness and ease of use.
- Findings extend the TAM model and offer practical insights for educational authorities planning metaverse integration strategies.
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