Predicting teachers’ intentions to use virtual reality in education: a study based on the UTAUT-2 framework

Keywords: virtual reality, technology acceptance, behavioral intention, UTAUT, teacher education

Abstract

This study aims to investigate the factors influencing teachers’ intentions to integrate Virtual Reality (VR) technology into their educational practices, utilising the Unified Theory of Acceptance and Use of Technology (UTAUT-2) framework. The research involved adapting and validating the ‘Acceptance of Mobile Immersive Virtual Reality in Secondary Education Teachers’ scale to the Turkish context, ensuring cultural relevance and psychometric reliability. Data were collected from 213 in-service teachers with prior experience in using VR in education. The results of the Confirmatory Factor Analysis (CFA) confirmed the validity of the adapted scale. The findings indicate that effort expectancy, social influence, personal innovativeness and hedonic motivation significantly predict teachers’ behavioural intentions to adopt VR technology. However, contrary to expectations, performance expectancy and facilitating conditions did not show a significant impact. These results underscore the importance of focusing on the ease of use and social support mechanisms, as well as fostering a culture of innovation amongst educators, to successfully integrate VR into educational settings.

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Author Biographies

Ali Geriş, Department of Computer Education & Instructional Technology, Faculty of Education, Manisa Celal Bayar University, Manisa, Türkiye

Ali Geriş is a PhD in the Faculty of Education, Manisa Celal Bayar University, Türkiye. His research interests focus on instructional technologies, virtual and extended reality. Specifically: developing VR/XR apps, learning in immersive environments and technical specifications of VR/XR systems.

Taibe Kulaksız, Institute for Arts, Music and Media, Heidelberg University of Education, Heidelberg, Germany

Taibe Kulaksız is a postdoctoral researcher at the Heidelberg University of Education. She holds a Ph.D. in Computer Education and Instructional Technologies. Her research focuses on technology integration in education, teacher education, instructional technology and media education.

References


Alalwan, N. et al. (2020). Challenges and prospects of virtual reality and augmented reality utilization among primary school teachers: A developing country perspective. Studies in Educational Evaluation, 66, 100876. https://doi.org/10.1016/j.stueduc.2020.100876




Al Farsi, G. (2023). The efficiency of UTAUT2 Model in predicting student’s acceptance of using virtual reality technology. International Journal of Interactive Mobile Technologies, 17(12), 17–27. https://doi.org/10.3991/ijim.v17i12.36951




Al-Gindy, A. et al. (2020). Virtual reality: Development of an integrated learning environment for education. International Journal of Information and Education Technology, 10(3), 171–175. https://doi.org/10.18178/ijiet.2020.10.3.1358




AL-Oudat, M., & Altamimi, A. (2022). Factors influencing behavior intentions to use virtual reality in education. International Journal of Data and Network Science, 6(3), 733–742. https://doi.org/10.5267/j.ijdns.2022.3.008




Angel-Urdinola, D., Castillo, C., & Hoyos, A. (2021). Virtual reality: Could it be the next big tool for education? World Econonic Forum, https://www.weforum.org/agenda/2021/05/virtual-reality-simulators-develop-students-skills-education-training/




Araiza-Alba, P., Keane, T., Chen, W. S., & Kaufman, J. (2021). Immersive virtual reality as a tool to learn problem-solving skills. Computers & Education, 164, 104121. https://doi.org/10.1016/j.compedu.2020.104121




Barbosa, R. P., Martins, A. S., Da Silva, I. P. A., Costa, L., Oliveira, R., & De Souza, H. (2020). Acceptance and use of a virtual learning environment (VLE): Structural equations modeling of The Unified Theory of Acceptance and Use of Technology. International Journal for Innovation Education and Research, 8(4), 237–244. https://doi.org/10.31686/ijier.vol8.iss4.2285




Beaton, D. E. et al. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014




Boel, C., Raeijmaekers, D., Rotsaert, T., Valcke, M., Schellens, T., & Struyf, D. (2021, 8-9 March). Acceptance of immersive virtual reality in secondary education teachers. An explorative study of perceptions from teachers, it-staff, principals and teachers’ trainers. In INTED2021 Proceedings (pp. 589–596). IATED, Online Conference.




Boel, C. et al. (2023). Are teachers ready to immerse? Acceptance of mobile immersive virtual reality in secondary education teachers. Research in Learning Technology, 31, 2855. https://doi.org/10.25304/rlt.v31.2855




Bunz, U., Seibert, J., & Hendrickse, J. (2021). From TAM to AVRTS: Development and validation of the attitudes toward Virtual Reality Technology Scale. Virtual Reality, 25, 31–41. https://doi.org/10.1007/s10055-020-00437-7




Çetin, F., & Demirkan, Ö. (2023). A validity and reliability analysis of the pre-service teachers’ attitudes towards Virtual Classroom Environment Scale. Educational Policy Analysis and Strategic Research, 18(2), 133–147. https://doi.org/10.29329/epasr.2023.548.7




DeVellis, R. F. (2017). Scale development: Theory and applications (4th ed.). Sage.




Drennan, J. (2003). Cognitive interviewing: Verbal data in the design and pretesting of questionnaires. Journal of Advanced Nursing, 42(1), 57–63. https://doi.org/10.1046/j.1365-2648.2003.02579.x




Erçağ, E., & Yasakcı, A. (2022). The perception scale for the 7E model-based augmented reality enriched computer course (7EMAGBAÖ): Validity and reliability study. Sustainability, 14(19), 12037. https://doi.org/10.3390/su141912037




Field, A. P. (2009). Discovering statistics using SPSS: And sex, drugs and rock “n” roll (3rd ed.). Sage.




Geris, A., & Cukurbasi, B. (2025). AI-supported VR in education: Learning analytics, ınteractions, and ethical bias. In S. Gökoğlu & F. Erdoğdu (Eds.), Virtual technology innovations in education (pp. 119–152). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-6030-9.ch005




Geriş, A., & Özdener, N. (2024). Design, development, and evaluation of educational virtual reality environment: EVRECA. Educational Technology Research and Development, 72(2), 915–945. https://doi.org/10.1007/s11423-023-10303-3




González Bravo, L. et al. (2020). Psychometric analysis of a measure of acceptance of new technologies (UTAUT), applied to the use of haptic virtual simulators in dental students. European Journal of Dental Education, 24(4), 706–714. https://doi.org/10.1111/eje.12559




Gossett, S. (2023). Virtual reality in education: Benefits, uses and examples. Built In, https://builtin.com/articles/virtual-reality-in-education




Ha, Y.-S., Park, Y.-K., Kim, E.-H., & Kim, K.-J. (2022). The effects of digital empowerment teacher training program applying virtual reality on digital media literacy, teacher efficacy, and problem-solving ability of school nurse. Journal of Health Informatics and Statistics, 47(2), 118–125. https://doi.org/10.21032/jhis.2022.47.2.118




Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis (7th ed.). Pearson.




Hamurcu, A., Timur, Ş., & Rızvanoğlu, K. (2023). A study on the adoption of virtual reality in industrial design education. IEEE Transactions on Learning Technologies, 16(6), 900–913. https://doi.org/10.1109/TLT.2023.3321292




Hew, K. F., & Cheung, W. S. (2010). Use of three-dimensional (3-D) immersive virtual worlds in K-12 and higher education settings: A review of the research. British Journal of Educational Technology, 41(1), 33–55. https://doi.org/10.1111/j.1467-8535.2008.00900.x




Hidayanto, A. N., & Prabowo, H. (2022, August 11–12). Discipline, impact, and challenges of virtual reality ın higher education: A systematic literature review. 2022 International Conference on Information Management and Technology (ICIMTech). Semarang.




Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118




Huang, F.-H. (2020). Adapting UTAUT2 to assess user acceptance of an e-scooter virtual reality service. Virtual Reality, 24(4), 635–643. https://doi.org/10.1007/s10055-019-00424-7




Huang, H.-M., Rauch, U., & Liaw, S.-S. (2010). Investigating learners’ attitudes toward virtual reality learning environments: Based on a constructivist approach. Computers & Education, 55(3), 1171–1182. https://doi.org/10.1016/j.compedu.2010.05.014




Jensen, L., & Konradsen, F. (2018). A review of the use of virtual reality head-mounted displays in education and training. Education and Information Technologies, 23, 1515–1529. https://doi.org/10.1007/s10639-017-9676-0




Karaoglan-Yilmaz, F. G. et al. (2024). Transactional distance perceptions, student engagement, and course satisfaction in flipped learning: A correlational study. Interactive Learning Environments, 32(2), 447–462. https://doi.org/10.1080/10494820.2022.2091603




Koutromanos, G. et al. (2024). The mobile augmented reality acceptance model for teachers and future teachers. Education and Information Technologies, 29(7), 7855–7893. https://doi.org/10.1007/s10639-023-12116-6




Lai, N. Y. G., Wei, S., Halim, D., Fow, K. L., Kang, H. S., & Yu, L. J. (2021). Why Not More Virtual Reality in Higher Ed Teaching and Learning?. In 2021 IEEE International Conference on Engineering, Technology & Education (TALE) (pp. 248–254). IEEE.




Luo, H. et al. (2021). Virtual reality in K-12 and higher education: A systematic review of the literature from 2000 to 2019. Journal of Computer Assisted Learning, 37(3), 887–901. https://doi.org/10.1111/jcal.12538




Makransky, G., & Lilleholt, L. (2018). A structural equation modeling investigation of the emotional value of immersive virtual reality in education. Educational Technology Research and Development, 66(5), 1141–1164. https://doi.org/10.1007/s11423-018-9581-2




Mareta, S. et al. (2022). A study of the virtual reality cybersickness impacts and improvement strategy towards the overall undergraduate students’ virtual learning experience. Interactive Technology and Smart Education, 19(4), 460–481. https://doi.org/10.1108/ITSE-10-2021-0193




Marks, B., & Thomas, J. (2022). Adoption of virtual reality technology in higher education: An evaluation of five teaching semesters in a purpose-designed laboratory. Education and Information Technologies, 27(1), 1287–1305. https://doi.org/10.1007/s10639-021-10653-6




Marougkas, A. et al. (2023). Virtual reality in education: A review of learning theories, approaches and methodologies for the last decade. Electronics, 12(13), 2832. https://doi.org/10.3390/electronics12132832




Mastrolembo Ventura, S. et al. (2022). Implementation of virtual reality in construction education: A content-analysis based literature review. Journal of Information Technology in Construction, 27, 705–731. https://doi.org/10.36680/j.itcon.2022.035




Pellas, N., Dengel, A., & Christopoulos, A. (2020a). A scoping review of immersive virtual reality in STEM education. IEEE Transactions on Learning Technologies, 13(4), 748–761. https://doi.org/10.1109/TLT.2020.3019405




Pellas, N., Kazanidis, I., & Palaigeorgiou, G. (2020b). A systematic literature review of mixed reality environments in K-12 education. Education and Information Technologies, 25(4), 2481–2520. https://doi.org/10.1007/s10639-019-10076-4




Radianti, J. et al. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778. https://doi.org/10.1016/j.compedu.2019.103778




Rafiq, A. A., Triyono, M. B., & Djatmiko, I. W. (2022). Enhancing student engagement in vocational education by using virtual reality. Waikato Journal of Education, 27(3), 175–188. https://doi.org/10.15663/wje.v27i3.964




Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23–74.




Tan, Y. et al. (2022). Augmented and virtual reality (AR/VR) for education and training in the AEC industry: A systematic review of research and applications. Buildings, 12(10), 1529. https://doi.org/10.3390/buildings12101529




Teng, Z. et al. (2022). Factors affecting learners’ adoption of an educational metaverse platform: An empirical study based on an extended UTAUT model. Mobile Information Systems, 2022(1), 5479215. https://doi.org/10.1155/2022/5479215




Venkatesh, V. et al. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540




Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412




Wang, E. Y. et al. (2023). Predicting pediatric healthcare provider use of virtual reality using a technology acceptance model. JAMIA Open, 6(3), ooad076. https://doi.org/10.1093/jamiaopen/ooad076
Published
2025-05-16
How to Cite
Geriş , A., & Kulaksız , T. (2025). Predicting teachers’ intentions to use virtual reality in education: a study based on the UTAUT-2 framework. Research in Learning Technology, 33. https://doi.org/10.25304/rlt.v33.3429
Section
Original Research Articles