Análise de modelos de realidade virtual e aprendizagem colaborativa em educação física: um estudo de instituições de ensino indonésias baseado no modelo de preparação eletrónica

Autores

DOI:

https://doi.org/10.47197/retos.v77.117663

Palavras-chave:

Preparação para o ambiente digital, Educação Física, Aprendizagem integrada (SL), UTAUT, Realidade Virtual (RV)

Resumo

Contexto: A tecnologia de Realidade Virtual (RV) está a remodelar os paradigmas educacionais, particularmente quando integrada em abordagens de Aprendizagem Contínua (AC) que transcendem as barreiras temporais e espaciais. No entanto, a adoção da RV na educação física na Indonésia continua a ser limitada por diferentes níveis de prontidão tecnológica e compreensão conceptual.

Objectivo: Este estudo visa examinar a prontidão para a adopção de modelos de RV-AC e a sua influência no uso, intenção e comportamento tecnológicos. Além disso, investiga o papel moderador da maturidade digital dentro da estrutura da Teoria Unificada da Aceitação e Utilização da Tecnologia (UTAUT).

Método: Foi realizado um inquérito quantitativo transversal a 422 inquiridos, incluindo professores, docentes de educação física do ensino básico, secundário e superior, e estudantes universitários de Java Oriental. Os dados foram analisados ​​utilizando a Modelação de Equações Estruturais, integrando o Índice de Prontidão Tecnológica (IPT) e os constructos da UTAUT.

Resultados: Os resultados revelam que os motivadores (capacidade de inovação e otimismo) afetam de forma significativa e positiva a intenção e o comportamento de utilização, mediados pela Expectativa de Desempenho, Expectativa de Esforço, Influência Social e Condições Facilitadoras. Em contraste, vários inibidores (desconforto e insegurança) não apresentaram efeito significativo, sugerindo que fatores fortes do modelo UTAUT podem contrariar a resistência à tecnologia. A maturidade digital modera significativamente a relação entre os constructos do UTAUT e os resultados de utilização, amplificando a intenção e o comportamento de adoção entre os utilizadores digitalmente maduros.

Conclusão: A prontidão para a adoção de modelos de RV-SL é caracterizada por um elevado entusiasmo, mas por diferentes níveis de compreensão conceptual e restrições de acesso. A maturidade digital surge como um factor crítico que fortalece a adopção e, ao mesmo tempo, mitiga as barreiras tecnológicas, enfatizando a sua importância estratégica na implementação de tecnologias educativas.

Referências

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

Downloads

Publicado

03-04-2026

Edição

Secção

Artigos de caráter científico: trabalhos de pesquisas básicas e/ou aplicadas.

Como Citar

Pratama, I. G., Mustaji, M., Mariono, A., & Arizaldy Ramly, R. (2026). Análise de modelos de realidade virtual e aprendizagem colaborativa em educação física: um estudo de instituições de ensino indonésias baseado no modelo de preparação eletrónica. Retos, 77, 220-237. https://doi.org/10.47197/retos.v77.117663