Aceptación de la Realidad Virtual inmersiva y no inmersiva en la Educación Superior. Un estudio comparativo desde el Modelo UTAUT2 (Unified Theory of Acceptance and Use of Technology 2)

Autores/as

DOI: https://doi.org/10.6018/reifop.691071
Palabras clave: Realidad virtual, UTAUT2, educación superior, percepción del estudiantado

Resumen

El avance de tecnologías emergentes está modificando de manera sustancial los fenómenos sociales y las dinámicas de interacción entre individuos e instituciones. En Educación Superior, la incorporación de la Realidad Virtual (RV) ha generado transformaciones en el diseño de materiales didácticos, las metodologías de enseñanza-aprendizaje y los mecanismos de adquisición del conocimiento. Además, ha supuesto un impacto en la calidad educativa, la participación activa, personalizada y colaborativa del estudiantado, su aceptación e intención de uso, creando entornos educativos inclusivos e inmersivos. Este estudio tuvo un doble objetivo, analizar el grado de aceptación de la RV, a partir de las dimensiones del modelo UTAUT2 a 336 estudiantes de Grado de la Facultad de Ciencias de la Educación; y comparar las versiones no inmersiva e inmersiva de la RV para identificar las percepciones del estudiantado en función de la experiencia vivida. Los resultados arrojaron que la modalidad inmersiva constituye un avance tecnológico significativo, con un elevado potencial motivador; y la no inmersiva sugiere que la simplicidad, accesibilidad y grado de complejidad pueden incidir positivamente en la percepción hacia la adopción de la Realidad Virtual en el contexto universitario. Este estudio apunta al diseño de estrategias tecno-pedagógicas orientadas a optimizar la integración de la RV en la educación superior, promoviendo un equilibrio entre innovación y usabilidad que favorezca su aceptación y su implementación efectiva.

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Acosta-Enriquez, B. G., Ramos, E. V., Villena, L. I., Mogollon, F. S., Rabanal-León, H. C., Morales, J. E., & Saldaña, J. C. S. (2024, October 15). Acceptance of artificial intelligence in university contexts: A conceptual analysis based on UTAUT2 theory. Heliyon, 10(19), e38315. https://doi.org/10.1016/j.heliyon.2024.e38315

Al-Adwan, A. S., & Al-Debei, M. M. (2024). The determinants of Gen Z's metaverse adoption decisions in higher education: Integrating UTAUT2 with personal innovativeness in IT. Education and Information Technologies, 29(12), 7413–7445. https://doi.org/10.1007/s10639-023-12080-1

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 (iJIM), 17(12), 17–27. https://doi.org/10.3991/ijim.v17i12.36951

Alghatrifi, I. & Khalid, H. (2019). A systematic review of UTAUT and UTAUT2 as a baseline framework of information system research in adopting new technology: a case study of IPV6 adoption. 6th International Conference on Research and Innovation in Information Systems. IEEE. https://doi.org/10.1109/ICRIIS48246.2019.9073292

Alzahrani, A., & Alzahrani , A. (2025). Comprendiendo la adopción de ChatGPT en universidades: el impacto del TPACK y UTAUT2 en los docentes. RIED-Revista Iberoamericana de Educación a Distancia, 28(1), 37–58. https://doi.org/10.5944/ried.28.1.41498

Arain, A. A., Hussain, Z., & Rizvi, W. H. (2019). Extending UTAUT2 toward acceptance of mobile learning in the context of higher education. Universal Access in the Information Society, 18(3), 659–673. https://doi.org/10.1007/s10209-019-00685-8

Azizi, S. M., Roozbahani, N., & Khatony, A. (2020). Factors affecting the acceptance of blended learning in medical education: Application of the UTAUT2 model. BMC Medical Education, 20(1), 367. https://doi.org/10.1186/s12909-020-02302-2

Cabero-Almenara, J., Barroso-Osuna, J., Llorente-Cejudo, C. & Martínez-Pérez, S. (2025). Posibilidades motivadoras de los objetos de aprendizaje en Realidad Virtual: Valoración por los estudiantes. Revista de Ciencias Sociales, XXXI(3), 146-161.

Cabero-Almenara, J. & Fernández Robles, B. (2018). Las tecnologías digitales emergentes entran en la Universidad: RA y RV. RIED. Revista Iberoamericana de Educación a Distancia, 21(2), 119-138. https://doi.org/10.5944/ried.21.2.20094

Chen, S.-Y., Lai, Y.-H., Lin, P.-H., & Su, Y.-S. (2025). Developing a multi-user virtual reality training system for emergency medical technicians: Determinants of acceptance and adoption. Educational Technology & Society, 28(2), 416–433. https://www.jstor.org/stable/48827995

Daling, L. M., & Schlittmeier, S. J. (2022). Effects of Augmented Reality-, Virtual Reality-, and Mixed Reality–Based Training on Objective Performance Measures and Subjective Evaluations in Manual Assembly Tasks: A Scoping Review. Human Factors, 66(2), 589-626. https://doi.org/10.1177/00187208221105135

De Lorenzis, F., Pratticò, F. G., Repetto, M., Pons, E., & Lamberti, F. (2023). Immersive virtual reality for procedural training: Comparing traditional and learning by teaching approaches. Computers in Industry, 144, 103785. https://doi.org/10.1016/j.compind.2022.103785

Dinh, K. P., Thang, P. C., & My, N. T. T. (2025, enero). Unpacking the adoption and use of mobile education apps: A UTAUT2 perspective from a developing country. Social Sciences & Humanities Open, 12, 101665. https://doi.org/10.1016/j.ssaho.2025.101665

Du, W., & Liang, R. (2024). Teachers’ Continued VR Technology Usage Intention: An Application of the UTAUT2 Model. SAGE Open, 14(1). https://doi.org/10.1177/21582440231220112

Fernández-Robles, B., & Martínez-Pérez, S. (2023). Experiencia formativa sobre el uso de realidad aumentada con estudiantes del grado de Pedagogía. Revista Tecnología, Ciencia Y Educación, 24, 119–140. https://doi.org/10.51302/tce.2023.2804

Foroughi, B., Senali, M. G., Iranmanesh, M., Khanfar, A., Ghobakhloo, M., Annamalai, N., & Naghmeh-Abbaspour, B. (2023). Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA. International Journal of Human–Computer Interaction, 40(17), 4501–4520. https://doi.org/10.1080/10447318.2023.2226495

García de Blanes, M., Sarmiento, J. R., & Antonovica, A. (2022). Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants. Frontiers in Psychology, 13, 993935. https://doi.org/10.3389/fpsyg.2022.993935

Grassini, S., Aasen, M. L., & Møgelvang, A. (2024). Understanding University Students’ Acceptance of ChatGPT: Insights from the UTAUT2 Model. Applied Artificial Intelligence, 38(1). https://doi.org/10.1080/08839514.2024.2371168

Hamilton, D., McKechnie, J., Edgerton, E., & Wilson, C. (2021). Immersive virtual reality as a pedagogical tool in education: A systematic literature review of quantitative learning outcomes and experimental design. Journal of Computers in Education, 8(1), 1–32. https://doi.org/10.1007/s40692-020-00169-2

Kaplan-Rakowski, R., & Thrasher, T. (2025). The impact of high-immersion virtual reality and interactivity on vocabulary learning. British Journal of Educational Technology. https://doi.org/10.1111/bjet.13603

Kshetri, N., Rojas-Torres, D., & Grambo, M. (2022). The Metaverse and Higher Education Institutions. IT Professional, 24(6), 69–73. https://doi.org/10.1109/MITP.2022.3222711

Lee, U.-K., & Kim, H. (2022). UTAUT in Metaverse: An “Ifland” Case. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), 613-635. https://doi.org/10.3390/jtaer17020032

Llorente-Cejudo, C., Barragán-Sánchez, R., Pérez-Rodríguez, N. & Martín-Párraga, L. (2024). Enseñanza e innovación educativa en el ámbito universitario. ESIC.

Marín-Díaz, V., Sampedro-Requena, B. E., & Vega-Gea, E. (2023). Creencias del profesorado de Educación Secundaria en torno al uso de la Realidad Mixta en el aula. Revista Electrónica Interuniversitaria de Formación del Profesorado, 26(1), 85–97. https://doi.org/10.6018/reifop.543331

Martínez-Pérez, S., Fernández-Robles, B. & Lluch-Molins, L. (2019). Formación y estudiantado: el uso de las tecnologías en los procesos de aprendizaje. In Pérez-Aldeguer, S., & Akombo, D. (Eds.). Research, technology and best practices in Education (pp. 74-82). Adaya Press. https://doi.org/10.58909/ad19759460

Medeiros, M., Ozturk, A., Hancer, M., Weinland, J. & Okumus, B. (2022). Understanding travel tracking mobile application usage: An integration of self determination theory and UTAUT2. Tourism Management Perspectives, 42. https://doi.org/10.1016/j.tmp.2022.100949

Mojarro, Á., Duarte, A. M., & Guzmán, M. D. (2019). Mobile learning in university contexts based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Journal of New Approaches in Educational Research, 8(1), 7–17. https://doi.org/10.7821/naer.2019.1.317

Mosbeh, R. (2025). Factors influencing success of virtual reality in Tunisia’s cultural heritage tourism sites: A UTAUT2 approach extension. Virtual Reality, 29(1), 26. https://doi.org/10.1007/s10055-025-01101-8

Muslem, G. (2023). The Efficiency of UTAUT2 Model in Predicting Student’s Acceptance of Using Virtual Reality Technology. International Journal of Interactive Mobile Technologies (iJIM), 17(12),17-27. https://doi.org/10.3991/ijim.v17i12.36951

Nurlaela, N., Irfan, A. M., Rahman, M. H., Putra, K. P., Mahmud, A., & Setialaksana, W. (2025). Understanding AR/VR adoption through heutagogy and cybergogy: Insights from the UTAUT2 model in vocational education. Education and Information Technologies, 30(12), 17111–17132. https://doi.org/10.1007/s10639-025-13465-0

Oh, H., Ahn, H., & Park, E. (2025). Understanding user intention in metaverse education: a synthesis of diffusion of innovation and UTAUT2. Behaviour & Information Technology, 1–17. https://doi.org/10.1080/0144929X.2025.2486583

Ortí, J. (2024). La realidad aumentada y realidad virtual en la enseñanza matemática: educación inclusiva y rendimiento académico. Edutec, Revista Electrónica de Tecnología Educativa, (88), 62–76. https://doi.org/10.21556/edutec.2024.88.3133

Parong, J., & Mayer, R. E. (2018). Learning science in immersive virtual reality. Journal of Educational Psychology, 110(6), 785-797.

Poupard, M., Larrue, F., Sauzéon, H., & Tricot, A. (2024). A systematic review of immersive technologies for education: Learning performance, cognitive load and intrinsic motivation. British Journal of Educational Technology, 56(1), 5–41. https://doi.org/10.1111/bjet.13503

Qin, F., Li, K. & Yan, J. (2020). Understanding user trust in artificial intelligence‐based educational systems: Evidence from China. British Journal of Educational Technology, 51(5), 1693-1710. https://doi.org/10.1111/bjet.12994

Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education. Computers & Education, 147, 103778. https://doi.org/10.1016/j.compedu.2019.103778

Ramírez-Montoya, M. S. (2022). Estrategias de innovación para ambientes de aprendizaje. Innovación e investigación educativa. Síntesis.

Ramos, Á., & Palacios-Rodríguez, A. (2025). Análisis bibliométrico del uso de la realidad extendida en la Educación Superior: tendencias y retos en la enseñanza 2000-2024. Hachetetepé. Revista científica de Educación y Comunicación, (30), 1102. https://doi.org/10.25267/Hachetetepe.2025.i30.1102

Rodríguez-Gil, M. E. (2024). Factors influencing 360-Degree Video Adoption in e-Learning: A UTAUT2 case study with pre-service Primary Education teachers in Spain. Journal of E-Learning and Knowledge Society, 20(1), 27-36. https://doi.org/10.20368/1971-8829/1135881

Salatino, A., Zavattaro, C., Gammeri, R., Cirillo, E., Piatti, M. L., Pyasik, M., & Ricci, R. (2023). Virtual reality rehabilitation for unilateral spatial neglect: A systematic review of immersive, semi-immersive and non-immersive techniques. Neuroscience & Biobehavioral Reviews, 152, 105248. https://doi.org/10.1016/j.neubiorev.2023.105248

Sharma, S., Virani, S., Saini, J. R., & Rautela, S. (2025). Determinants of adoption of virtual reality as a teaching aid in higher education: The mediating role of hedonic motivation. Journal of Applied Research in Higher Education. Advance online publication. https://doi.org/10.1108/JARHE-07-2024-0327

Stracke, C. M., Bothe, P., Adler, S., Heller, E. S., Deuchler, J., Pomino, J., & Wölfel, M. (2025). Immersive virtual reality in higher education: A systematic review of the scientific literature. Virtual Reality, 29(1), Article 64. https://doi.org/10.1007/s10055-025-01136-x

Strzelecki, A. (2023). To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interactive Learning Environments, 32(9), 5142–5155. https://doi.org/10.1080/10494820.2023.2209881

Truong, V. L., & Pham, L. P. C. (2025). Determinants of adopting 3D technology integrated with artificial intelligence in STEM higher education: A UTAUT2 model approach. Computer Applications in Engineering Education, 33(3), e70019. https://doi.org/10.1002/cae.70019

UNESCO. (2023). Technology in education: A tool on whose terms? UNESCO. https://doi.org/10.54676/UZQV8501

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (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. L., & 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

Victoria, J. J., Fuentes-Cabrera, A., Fernández-Cerero, J., & Sadio-Ramos, F. J. (2024). Influencia de la Realidad Virtual en el rendimiento académico en Educación Secundaria a través de un meta-análisis [Influence of Virtual Reality on Academic Performance in Secondary Education Through a Meta-Analysis]. Pixel-Bit. Revista de Medios y Educación, 71, 107–121. https://doi.org/10.12795/pixelbit.104279

Wang, Y. Y., & Chuang, Y. W. (2023). Investigating the potential adverse effects of virtual reality-based learning system usage: from UTAUT2 and PPVITU perspectives. Interactive Learning Environments, 32(9), 5106–5125. https://doi.org/10.1080/10494820.2023.2209790

Xie, Y., Wan, C., & Kong, K. (2024). Factors influencing Chinese pre-service teachers’ behavioral intention and use behavior to adopt VR training system: Based on the UTAUT2 model. Humanities and Social Sciences Communications, 11, 1300. https://doi.org/10.1057/s41599-024-03832-6

Zaidan, A. S., Alshammary, K. M., Khaw, K. W., Yousif, M., & Chew, X. (2023). Investigating behavior of using metaverse by integrating UTAUT2 and self-efficacy. En M. Al-Emran, J. H. Ali, M. Valeri, A. Alnoor, & Z. A. Hussien (Eds.), Beyond reality: Navigating the power of metaverse and its applications. IMDC-IST 2024 (Lecture Notes in Networks and Systems, Vol. 895, pp. 71–83). Springer. https://doi.org/10.1007/978-3-031-51716-7_6

Publicado
31-12-2025
Cómo citar
Barroso-Osuna, J., Martínez-Pérez, S., Montenegro-Rueda, M., & Buzón García, O. (2025). Aceptación de la Realidad Virtual inmersiva y no inmersiva en la Educación Superior. Un estudio comparativo desde el Modelo UTAUT2 (Unified Theory of Acceptance and Use of Technology 2). Revista Electrónica Interuniversitaria De Formación Del Profesorado, 29(1), 33–47. https://doi.org/10.6018/reifop.691071