Cited by 637Technology Adoption and User BehaviourEducation and Learning InterventionsOnline and Blended Learning

Extending the technology acceptance model (TAM) to predict university students’ intentions to use metaverse-based learning platforms

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Al-Adwan, Ahmad Samed, Li, Na, Al-Adwan, Amer, Abbasi, Ghazanfar Ali, Albelbisi, Nour Awni, Habibi, Akhmad·2023·Education and Information Technologies

Abstract

Metaverse, which combines a number of information technologies, is the Internet of the future. A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational implementations are still in their infancy. Additionally, what factors impact higher education students' adoption of the educational metaverse remains unclear. Consequently, the aim of this study is to explore the main factors that affect higher education students' behavioral intentions to adopt metaverse technology for education. This study has proposed an extended Technology Acceptance Model (TAM) to achieve this aim. The novelty of this study resides in its conceptual model, which incorporates both technological, personal, and inhibiting/enabling factors. The empirical data were collected via online questionnaires from 574 students in both private and public universities in Jordan. Based on the PLS-SEM analysis, the study identifies perceived usefulness, personal innovativeness in IT, and perceived enjoyment as key enablers of students' behavioral intentions to adopt the metaverse. Additionally, perceived cyber risk is found as the main inhibitor of students' metaverse adoption intentions. Surprisingly, the effect of perceived ease of use on metaverse adoption intentions is found to be insignificant. Furthermore, it is found that self-efficacy, personal innovativeness, and perceived cyber risk are the main determinants of perceived usefulness and perceived ease of use. While the findings of this study contribute to the extension of the TAM model, the practical value of these findings is significant since they will help educational authorities understand each factor's role and enable them to plan their future strategies.

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  • The findings align with evidence from mobile learning research that positive attitudes can strengthen students' intention to use new technologies.

    “They also aligned with evidence from mobile learning research showing that positive attitudes can strengthen students’ intention to use new technologies [91].”

    From Advancing Undergraduate Student Mental Healthcare of Social Anxiety Disorder: Evaluating the Acceptance of AR-Assisted Cognitive Behavioral Therapy Through TAM-Based Constructs. (2026) · cites this paper as [91]

    The Theoretical foundation section says that attitudes toward technology use help determine behavioral intention, supporting the general attitude–intention link. But this paper studies metaverse-based learning platforms, not mobile learning; its mention of mobile learning in the Personal innovativeness in IT section concerns innovativeness and perceived ease of use, not attitudes and intention. (LLM, conf=0.84)

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Research works printed but not linked: 5

  1. Bada SO Olusegun S Constructivism learning theory: A paradigm for teaching and learning Journal of Research & Method in Education 2015 5 6 66 70 10.9790/7388-05616670 · DOI
  2. Kim JH Lee BS Choi SJ A study on metaverse construction and use cases for non-face-to-face education The Journal of the Convergence on Culture Technology 2022 8 1 483 497 10.17703/JCCT.2022.8.1.483 · DOI
  3. Lee J Kim J Choi JY The adoption of virtual reality devices: The technology acceptance model integrating enjoyment, social interaction, and strength of the social ties Telematics and Informatics 2019 39 37 48 10.1016/j.tele.2018.12.006 · DOI · Paper page
  4. Mikusa, M. E. (2015). The effect of technology self-efficacy and personal engagement on students’ and teachers’ attitudes toward technology use in education (Doctoral dissertation). Appalachian State University.
  5. Saleh SS Nat M Aqel M Sustainable adoption of E-Learning from the TAM Perspective Sustainability 2022 14 6 3690 10.3390/su14063690 · DOI

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Authors
Al-Adwan, A. S., Li, N., Al-Adwan, A., Abbasi, G. A., Albelbisi, N. A., & Habibi, A.
Affiliations
  • Xi’an Jiaotong-Liverpool University (CN)
  • Al-Ahliyya Amman University (JO)
  • King Fahd University of Petroleum and Minerals (SA)
  • University of Malaya (MY)
  • Universitas Jambi (ID)
Corresponding author
Al-Adwan, Amer
Venue
Education and Information Technologies
Published
2023-04-28
Volume
28
Issue
11
Pages
15381-15413
ISSN
  • 1360-2357 (ISSN-L)
  • 1573-7608
OpenAlex
W4367316498
Cited by
637
References
116
Citations by year
2026: 169 · 2025: 244 · 2024: 191 · 2023: 33
FWCI
732.78
Type
book chapter
Language
en
Open access
Locations
  • Education and Information Technologies (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
Hamad bin Khalifa University
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Physical Sciences › Computer Science › Information Systems › Education and Learning Interventions
  • Social Sciences › Education › Online and Blended Learning
Keywords
metaverse, technology acceptance model, technology adoption, behavioral intention, university students, perceived usefulness, perceived ease of use, perceived enjoyment, personal innovativeness, self-efficacy, immersive learning, online learning

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