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Extending the technology acceptance model (TAM) to predict university students’ intentions to use metaverse-based learning platforms
Open accessAbstract
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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“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]
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Jio, W., Kant, S., & Gautam, R. K. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1832-5.ch002
Determinants of the Success of E-Faktur Tax Application Implementation: A Quantitative Study
Nur, M., Mulang, H., & Rosmawati, R. (2025) · Jurnal Akuntansi · doi:10.24912/ja.v29i3.3251
“A similar finding was reported by (Al-Adwan et al., 2023) in their study on the adoption of metaverse technology in higher education.”
Hubble, T. R., Carbone, L., Vandenbosch, L., Toelen, J., & Coninck, D. D. (2025) · JMIR Pediatrics and Parenting · doi:10.2196/75489
“Several studies on online educational platforms have similarly found that perceived ease of use does not significantly predict intention to use [81,82].”
Challenges of VR Adoption in Iraqi Higher Education
Al-Fayyadh, F. K., & Gilányi, A. (2025) · IEEE International Conference on Cognitive Infocommunications · doi:10.1109/coginfocom66819.2025.11200850
Digitalization of Businesses with Low-Cost Web and IoT Technologies: A Case Study of a Smart Gym
Sánchez, J. B., Barzola, V. E., & López, C. Q. (2025) · Communications in computer and information science · doi:10.1007/978-3-032-08614-3_17
The Role of External Factors on Actual Technology Use of Omni Channel Applications
Samiono, B. E., Pratiwi, A., Sunarmo, S., & Alam, R. (2025) · Jurnal Manajemen · doi:10.24912/jm.v29i3.2745
“In addition, it was found that personal innovativeness, computer self-efficacy, and perceived cyber risk strongly influence perceived usefulness and perceived ease of use (Al-Adwan et al., 2023).”
Navigating the future: Unveiling educational trends in the metaverse through text mining
Sharma, C. B., Kumar, S., Mishra, M. K., Sharma, S., Bali, P., Kautish, S., Almazyad, A. S., Mohamed, A. W., & Mousavirad, S. J. (2025) · Alexandria Engineering Journal · doi:10.1016/j.aej.2025.10.025
“The study by [26] contributed to the understanding of students ’ motivations and perceived value in adopting Metaverse environments, while another study [27] examined the factors influencing technology acceptance in metaverse platforms.”
Gonzales, G. G., Hermoso, R. M., Milano, M. L., Pasaje, S. J., Villaflor, M. G., & Gonzales, R. R. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5707092
Alomari, K. M., Maghaydah, S., Mahde, A., Mohammed, A. A., Korany, H., & Abunawas, M. K. (2025) · IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) · doi:10.1109/ic_aset65966.2025.11232258
“Such insights underscore the importance of fostering a conducive innovative academic atmosphere that encourages experimentalism and meets the diverse requirements of students and educators thereby boosting adoption of Metaverse technology [23].”
Exploring the Role of Metaverse in Education: A Systematic Literature Review
Shukla, R., & Bhaskar, P. (2025) · 2025 International Conference on Next Generation of Green Information and Emerging Technologies (GIET) · doi:10.1109/giet65294.2025.11234837
“Students may be resist adopting new technologies as they feel comfort with traditional methods (Al-Adwan et al., 2023).”
Fintech Adoption and Credit Access of Micro, Small, Medium Enterprises in Nairobi City County, Kenya
Terry, F. O. I., Kithandi, C. K., & Onchomba, M. S. (2025) · East African Finance Journal · doi:10.59413/eafj/v4.i4.5
Perțicaș, D., Sabău-Popa, C., Dodescu, A., Hatos, R., Florea, A.-G., & Juma, H. W. (2025) · Amfiteatru Economic · doi:10.24818/ea/2025/s19/1441
“This is supported by the Technology Acceptance Model (TAM), which emphasises perceived usefulness and ease of use as determinants of behavioural intention (Yuen et al., 2021; Al-Adwan et al., 2023).”
Chowdhury, T. I., Raihan, M. Z., & Azad, M. A. K. (2025) · Journal of Contemporary Marketing Science · doi:10.1108/jcmars-09-2024-0033
Xiao, J., Xie, L., Zhong, C., Luo, M. J., & Xia, T. (2025) · Research Square · doi:10.21203/rs.3.rs-8617018/v1
Rashid, S. (2025) · Contemporary Educational Technology · doi:10.30935/cedtech/17546
Wibowo, S. F., Respati, D. K., Musyaffi, A. M., Sadat, A. M., Purwohedi, U., Hapsoro, D. D., Priurity, K., & Adha, M. A. (2025) · International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) · doi:10.1109/iceccme64568.2025.11277730
The Influence of Blockchain in Online Games Innovation: TAM Approach
Tjahyadi, R., & Ekaputra, H. (2025) · International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS) · doi:10.1109/ice3is66769.2025.11280988
“It has been shown that people tend to try new technology if it isn’t complex or at least doesn’t need a lot of effort [8].”
Ajid, K. A. N. L. A., Yasirandi, R., & Insan, I. M. (2025) · International Conference on Software Engineering and Information Technology (ICoSEIT) · doi:10.1109/icoseit67010.2025.11291006
“…TRAM combines Technology Readiness Index (TRI), which includes optimism, innovativeness, discomfort, and insecurity, with TAM which includes perceived usefulness (PU) and perceived ease of use (PEOU), to explain intention to use (ITU) delivery service applications within the campus environment [9].”
Acceptance of Immersive Virtual Technology by Junior High School Students
UMEMURO, H., Saito, M., & SHIMADA, M. (2025) · The Japanese Journal of Ergonomics · doi:10.5100/jje.61.241
Diba, S. I., Karmakar, A., Hossain, M. A. S., & Emon, M. F. H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5565133
User intentions in Vietnam’s mobile payments: Integrating TAM, TTF, and agile practices
Pham, V. K., Huynh, A. V., Nguyen, M. K., Vo, M. H., & Nguyen, D. T. P. (2025) · AIP conference proceedings · doi:10.1063/5.0290783
Effect of System Cost, Self-Efficacy and Attitude on Acceptance of Telemedicine System
Al-Okdeh, S. K. (2025) · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · doi:10.1007/978-3-031-90558-2_6
Li, Q. (2025) · International Symposium on Artificial Intelligence for Education (ISAIE) · doi:10.1145/3775073.3775184
“Practices such as algorithmic and generative art, immersive media exhibitions, and metaverse-based performances illustrate how digital creativity can enrich education and expand student skills [5, 6].”
Adaptation of Metaverse Banking Services in India: A Structural Equation Modeling Approach
Swaroop, S., Dixit, S., & Srivastava, H. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83662-666-420261009
Bazie, H., Lemma, B., Wasyhun, A., & Bezabih, A. (2025) · Eurasia Journal of Mathematics Science and Technology Education · doi:10.29333/ejmste/17565 · Cited by 3
“…it highlights how constructs such as perceived ease of use and perceived usefulness shape behavioral intentions, even in contexts where infrastructural limitations – such as restricted ICT resources or connectivity challenges – may undermine direct usability perceptions (Al-Adwan et al., 2023).”
Metadata
- 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
- ORCID
- Venue
- Education and Information Technologies
- Published
- 2023-04-28
- Volume
- 28
- Issue
- 11
- Pages
- 15381-15413
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- PMC
- PMC10140721
- 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
- Update notices
- correction (2023-06-02)
- Open access
- hybrid
- doi.org
- 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
- Social Sciences › Education › 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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