Analizando Modelos VR-SL en Educación Física: un estudio de instituciones educativas indonesias basado en el modelo de preparación electrónica
DOI:
https://doi.org/10.47197/retos.v77.117663Palabras clave:
Preparación tecnológica (e-readiness) , Educación Física, Aprendizaje continuo e integrado (seamless learning), UTAUT, Realidad VirtualResumen
Background: Virtual Reality (VR) technology is reshaping educational paradigms, particularly when integrated with Seamless Learning (SL) approaches that transcend temporal and spatial boundaries. However, VR adoption in physical education in Indonesia remains constrained by varying levels of technological readiness and conceptual understanding.
Objective: This study aims to examine the readiness to adopt VR-SL models and its influence on technology usage, intention and behavior. It further investigates the moderating role of digital maturity within the Unified Theory of Acceptance and Use of Technology (UTAUT) framework.
Method: A cross-sectional quantitative survey was conducted with 422 respondents, comprising lecturers, elementary, middle, and high school physical education teachers, and university students across East Java. Data were analyzed using Structural Equation Modeling, integrating the Technology Readiness Index (TRI) and UTAUT constructs.
Results: Findings reveal that motivators (innovation capacity and optimism) significantly and positively affect usage intention and behavior, mediated by Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. In contrast, several inhibitors (discomfort and insecurity) showed no significant effect, suggesting that strong UTAUT factors can neutralize resistance to technology. Digital maturity significantly moderates the relationship between UTAUT constructs and usage outcomes, amplifying adoption intention and behaviour among digitally mature users.
Conclusion: Adoption readiness of VR-SL models is characterized by high enthusiasm but varied conceptual understanding and access constraints. Digital maturity emerges as a critical factor that strengthens adoption while mitigating technological barriers, emphasizing its strategic importance in educational technology implementation.
Referencias
Agustini, K., Putrama, I. M., Wahyuni, D. S., & Mertayasa, I. N. E. (2023). Applying Gamification Techni-que and Virtual Reality for Prehistoric Learning toward the Metaverse. International Journal of Information and Education Technology, 13(2), 247–256. https://doi.org/10.18178/ijiet.2023.13.2.1802
Aideed, H., Elbayoumi Salem, I., Magdy, A., AlAmri, T. K., Alzubaidi, A. S., & Mohamed Elbaz, A. (2025). Beyond reality: Harnessing the metaverse for transformative education through UTAUT-2 and task-technology synergy. International Journal of Management Education, 23(2), 101169. https://doi.org/10.1016/j.ijme.2025.101169
Albishri, B., & Blackmore, K. L. (2025). Duality in barriers and enablers of augmented reality adoption in education: a systematic review of reviews. Interactive Technology and Smart Education, 22(2), 167–191. https://doi.org/10.1108/ITSE-10-2023-0194
AlGerafi, M. A. M., Zhou, Y., Oubibi, M., & Wijaya, T. T. (2023). Unlocking the Potential: A Comprehensive Evaluation of Augmented Reality and Virtual Reality in Education. Electronics (Switzerland), 12(18). https://doi.org/10.3390/electronics12183953
Alkhwaldi, A. F. (2024). Understanding learners’ intention toward Metaverse in higher education insti-tutions from a developing country perspective: UTAUT and ISS integrated model. Kybernetes, 53(12), 6008–6035. https://doi.org/10.1108/K-03-2023-0459
Almusawi, H. A., Durugbo, C. M., & Bugawa, A. M. (2021). Innovation in physical education: Teachers’ perspectives on readiness for wearable technology integration. Computers and Education, 167(October 2020), 104185. https://doi.org/10.1016/j.compedu.2021.104185
Asad, M. M., Erum, D., Churi, P., & Moreno Guerrero, A. J. (2023). Effect of technostress on Psychological well-being of post-graduate students: A perspective and correlational study of Higher Education Management. International Journal of Information Management Data Insights, 3(1), 100149. https://doi.org/10.1016/j.jjimei.2022.100149
Berti, M. (2021). The unexplored potential of virtual reality for cultural learning. The EuroCALL Review, 29(1), 60. https://doi.org/10.4995/eurocall.2021.12809
Blut, M., & Wang, C. (2020). Technology-readiness-a-metaanalysis-of-conceptualizations-of-the-construct-and-its-impact-on-technology-usageJournal-of-the-Academy-of-Marketing-Science.pdf. Journal of the Academy of Marketing Science, 48, 649–669.
Boffi, P., Clerici, M., Gallace, A., & Lanzi, P. L. (2023). An educational experience in ancient Rome to eva-luate the impact of virtual reality on human learning processes. Computers and Education: X Reality, 2. https://doi.org/10.1016/j.cexr.2023.100014
Cohen, J. (1988). The effect size. Statistical power analysis for the behavioral sciences. Abingdon: Routledge, 77–83.
Creswell, john w, & Creswell, J. D. (2018). Qualitative, quantitative and mixed methods research (Dörn-yei). In Introducing English Language. https://doi.org/10.4324/9781315707181-60
Daud, N. M. (2025). From innovation to stress: analyzing hybrid technology adoption and its role in technostress among students. International Journal of Educational Technology in Higher Edu-cation, 22(1). https://doi.org/10.1186/s41239-025-00529-x
Gabbiadini, A., Paganin, G., & Simbula, S. (2023). Teaching after the pandemic: The role of technostress and organizational support on intentions to adopt remote teaching technologies. Acta Psycho-logica, 236(May), 103936. https://doi.org/10.1016/j.actpsy.2023.103936
Gagnero, P., & Huang, P. (2018). Seamlessly Displaying Models in Virtual Reality.
Giakoni-Ramírez, F., Godoy-Cumillaf, A., Espoz-Lazo, S., Duclos-Bastias, D., & del Val Martín, P. (2023). Physical Activity in Immersive Virtual Reality: A Scoping Review. Healthcare (Switzerland), 11(11), 1–11. https://doi.org/10.3390/healthcare11111553
Goh, P. S. C., & Abdul-Wahab, N. (2020). Paradigms to drive higher education 4.0. International Journal of Learning, Teaching and Educational Research, 19(1), 159–171. https://doi.org/10.26803/ijlter.19.1.9
Goh, P. S. C., & Blake, D. (2021). E-readiness measurement tool: Scale development and validation in a Malaysian higher educational context. Cogent Education, 8(1). https://doi.org/10.1080/2331186X.2021.1883829
Guillén-Gámez, F. D., Colomo-Magaña, E., Ruiz-Palmero, J., & Tomczyk, Ł. (2024). Teaching digital competence in the use of YouTube and its incidental factors: Development of an instrument ba-sed on the UTAUT model from a higher order PLS-SEM approach. British Journal of Educatio-nal Technology, 55(1), 340–362. https://doi.org/10.1111/bjet.13365
Gunasinghe, A., Hamid, J. A., Khatibi, A., & Azam, S. M. F. (2020). The adequacy of UTAUT-3 in interpre-ting academician’s adoption to e-Learning in higher education environments. Interactive Tech-nology and Smart Education, 17(1), 86–106. https://doi.org/10.1108/ITSE-05-2019-0020
Guo, J. (2022). Influencing Factors of College Students’ Use of Sports Apps in Mandatory Situations: Ba-sed on UTAUT and SDT. BioMed Research International, 2022. https://doi.org/10.1155/2022/9378860
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
Hambrock, H., & De Villiers, F. (2023). Proposing a Seamless Learning Experience Design (SLED) Fra-mework Based on International Perspectives of Educators from Five Higher Education Institu-tions. The Electronic Journal of E-Learning, 21(1), 52.
Hiew, F. C., & Chew, E. (2016). Seams remain in seamless learning. On the Horizon, 24(2), 145–152. https://doi.org/10.1108/OTH-09-2015-0063
Kohli, J. K., Raj, R., Rawat, N., & Gupta, A. (2025). Development and validation of teachers’ e-readiness scale: a study on higher education institutions in India. Journal of Applied Research in Higher Education, 17(2), 545–562. https://doi.org/10.1108/JARHE-11-2023-0517
Köroğlu, M. (2024). Pioneering virtual assessments: Augmented reality and virtual reality adoption among teachers. Education and Information Technologies.
Kuhail, M. A., Elsayary, A., Farooq, S., & Alghamdi, A. (2022). Exploring Immersive Learning Experien-ces: A Survey. In Informatics (Vol. 9, Issue 4). MDPI. https://doi.org/10.3390/informatics9040075
Laaber, F., Florack, A., Koch, T., & Hubert, M. (2023). Digital maturity: Development and validation of the Digital Maturity Inventory (DIMI). Computers in Human Behavior, 143(June 2022). https://doi.org/10.1016/j.chb.2023.107709
Lee, H. J., & Hwang, Y. (2022). Technology-Enhanced Education through VR-Making and Metaverse-Linking to Foster Teacher Readiness and Sustainable Learning. Sustainability (Switzerland), 14(8). https://doi.org/10.3390/su14084786
Li, C., & Li, Y. (2024). Feasibility Analysis of VR Technology in Physical Education and Sports Training. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3020842
Li, L., & Wang, X. (2021). Technostress inhibitors and creators and their impacts on university teachers’ work performance in higher education. Cognition, Technology and Work, 23(2), 315–330. https://doi.org/10.1007/s10111-020-00625-0
Looi, C. K., Seow, P., Zhang, B., So, H. J., Chen, W., & Wong, L. H. (2010). Leveraging mobile technology for sustainable seamless learning: A research agenda. British Journal of Educational Techno-logy, 41(2), 154–169. https://doi.org/10.1111/j.1467-8535.2008.00912.x
Looi, C.-K., Wong, L.-H., Glahn, C., & Cai, S. (2019). Seamless Learning: Perspectives, Challenges and Op-portunities. https://doi.org/DOI:10.1007/978-981-13-3071-1
Mutula, S. M., & van Brakel, P. (2006). An evaluation of e-readiness assessment tools with respect to information access: Towards an integrated information rich tool. International Journal of In-formation Management, 26(3), 212–223. https://doi.org/10.1016/j.ijinfomgt.2006.02.004
Negm, E. (2023). Intention to use Internet of Things (IoT) in higher education online learning – the ef-fect of technology readiness. Higher Education, Skills and Work-Based Learning, 13(1), 53–65. https://doi.org/10.1108/HESWBL-05-2022-0121
Parasuraman, A. (2000). Technology Readiness Index (TRI): A Multipleitem Scale To Measure Readi-ness To Embrace New Technologies. Journal Of Service Research, 2:307(May).
Paskova, A. A. (2022). Features Of Application Of Immersive Technologies Of Virtual And Augmented Reality In Higher Education. Vestnik Majkopskogo Gosudarstvennogo Tehnologiceskogo Uni-versiteta, 14(3). https://doi.org/10.47370/2078-1024-2021-13-2-83-92
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in beha-vioral research: a critical review of the literature and recommended remedies. Journal of Ap-plied Psychology, 88(5), 879.
Predescu, S. L., Caramihai, S. I., & Moisescu, M. A. (2023). Impact of VR Application in an Academic Con-text. Applied Sciences (Switzerland), 13(8). https://doi.org/10.3390/app13084748
Pu, Y., & Yang, Y. (2022). Application of Virtual Reality Technology in Martial Arts Situational Teaching. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/6497310
Putra, A. K., & Khalidy, D. A. (2023). Construction of Immersive Experiences: Development of Virtual Reality Technology to Facilitate Physical Geography Learning. International Journal of Emer-ging Technologies in Learning (IJET), 18(19), 47–60. https://doi.org/10.3991/ijet
Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers and Education, 147. https://doi.org/10.1016/j.compedu.2019.103778
Reyes-Mercado, P., Barajas-Portas, K., Kasuma, J., Almonacid-Duran, M., & Zamacona-Aboumrad, G. A. (2023). Adoption of digital learning environments during the COVID-19 pandemic: merging te-chnology readiness index and UTAUT model. Journal of International Education in Business, 16(1), 91–114. https://doi.org/10.1108/JIEB-10-2021-0097
Shah Alam, S., Ahmed, S., & Kokash, H. A. (2024). Correction to: Interplay of perceived organizational and external e-readiness in the adoption and integration of augmented reality and virtual reality technologies in Malaysian higher education institutions (Education and Information Technolo-gies, (2024),. Education and Information Technologies, 29(12), 16099. https://doi.org/10.1007/s10639-024-12447-y
Sharma, S., & Gupta, B. (2023). Investigating the role of technostress, cognitive appraisal and coping strategies on students’ learning performance in higher education: a multidimensional transac-tional theory of stress approach. Information Technology and People, 36(2), 626–660. https://doi.org/10.1108/ITP-06-2021-0505
Sitar-Taut, D. A., & Mican, D. (2021). Mobile learning acceptance and use in higher education during social distancing circumstances: an expansion and customization of UTAUT2. Online Informa-tion Review, 45(5), 1000–1019. https://doi.org/10.1108/OIR-01-2021-0017
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information techno-logy: Toward a unified view. MIS Quarterly, 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Techno-logy: Extending The Unified Theory of Acceptance And Use Of Technology. MIS Quarterly, 36(1), 157–178.
Wang, C., Wu, G., Zhou, X., & Lv, Y. (2022). An Empirical Study of the Factors Influencing User Behavior of Fitness Software in College Students Based on UTAUT. Sustainability (Switzerland), 14(15). https://doi.org/10.3390/su14159720
Wong, L. H., & Looi, C. K. (2011). What seams do we remove in mobile-assisted seamless learning? A critical review of the literature. Computers and Education, 57(4), 2364–2381. https://doi.org/10.1016/j.compedu.2011.06.007
Wong, L.-H., Milrad, M., & Specht, M. (2015). Seamless Learning in the Age of Mobile Connectivity. https://doi.org/DOI:10.1007/978-981-287-113-8
Wu, C., & Lim, G. G. (2024). Investigating older adults users’ willingness to adopt wearable devices by integrating the technology acceptance model (UTAUT2) and the Technology Readiness Index theory. Frontiers in Public Health, 12(September). https://doi.org/10.3389/fpubh.2024.1449594
Xin, Y., Zuo, X., & Huang, Q. (2018). Research on the construction of seamless learning platform based on open education. Asian Association of Open Universities Journal, 13(1), 88–99. https://doi.org/10.1108/AAOUJ-01-2018-0005
Xue, L., Rashid, A. M., & Ouyang, S. (2024). The Unified Theory of Acceptance and Use of Technology (UTAUT) in Higher Education: A Systematic Review. SAGE Open, 14(1), 1–22. https://doi.org/10.1177/21582440241229570
You, D., Seo, B. S., Jeong, E., & Kim, D. H. (2018). Internet of Things (IoT) for seamless virtual reality space: Challenges and perspectives. IEEE Access, 6, 40439–40449. https://doi.org/10.1109/ACCESS.2018.2829194
Zhang, Q., Khan, S., Khan, S. U., & Khan, I. U. (2023). Understanding Blockchain Technology Adoption in Operation and Supply Chain Management of Pakistan: Extending UTAUT Model With Techno-logy Readiness, Technology Affinity and Trust. SAGE Open, 13(4), 1–17. https://doi.org/10.1177/21582440231199320
Zulkifli, A. F., & Danis, A. (2022). Technology in physical education: Using movement analysis applica-tion to improve feedback on sports skills among undergraduate physical education students. Social Sciences and Humanities Open, 6(1). https://doi.org/10.1016/j.ssaho.2022.100350
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