Analisis Penerimaan Roblox Sebagai Media Pembelajaran Berbasis Metaverse Dengan Model UTAUT2
Abstract
Keywords
Full Text:
PDFReferences
Agnia Hardianty, D., & Yustiana, I. (2022). Rancang Bangun Aplikasi E-learning Berbasis Progressive Web Apps Untuk Menunjang Pembelajaran Online dengan Metode Prototyping. Jurnal Sains Komputer & Informatika (J-SAKTI, 6(2), 754–765.
Zhang, X., Chen, Y., Hu, L., Wang, Y. 2022. The metaverse in education: Definition, framework, features, potential applications, challenges, and future research topics. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1016300
Pradana, M., Elisa, H. P. 2023. Metaverse in education: A systematic literature review. Cogent Social Sciences, 9(2). https://doi.org/10.1080/23311886.2023.2252656
Kaddoura, S., Al Husseiny, F. 2023. The rising trend of Metaverse in education: Challenges, opportunities, and ethical considerations. PeerJ Computer Science, 9. https://doi.org/10.7717/peerj-cs.1252
Al-kfairy, M., Ahmed, S., Khalil, A. 2024. Factors impacting users’ willingness to adopt and utilize the metaverse in education: A systematic review. Computers in Human Behavior Reports, 15. https://doi.org/10.1016/j.chbr.2024.100459
Sinar, T. S., Budiman, M. A., Ganie, R., Rosa, R. N. 2023. Students’ perceptions of using Roblox in multimodal literacy practices in teaching and learning English. World Journal of English Language, 13(7), 146–153. https://doi.org/10.5430/wjel.v13n7p146
Rahman, H., Wahid, S. A., Ahmad, F., Ali, N. 2024. Game-based learning in metaverse: Virtual chemistry classroom for chemical bonding for remote education. Education and Information Technologies, 29(15), 19595–19619. https://doi.org/10.1007/s10639-024-12575-5
Wenzel, A., Geiger, J. M., Liening, A. 2025. Beyond the screen: Investigating the added value of realism enabled by the metaverse in digital game-based entrepreneurial learning. Computers in Human Behavior Reports, 19. https://doi.org/10.1016/j.chbr.2025.100738
Kalınkara, Y., Özdemir, O. 2024. Anatomy in the metaverse: Exploring student technology acceptance through the UTAUT2 model. Anatomical Sciences Education, 17(2), 319–336. https://doi.org/10.1002/ase.2353
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
Pan, Y., Shao, X., Shakibaei, G. 2025. Influence of digital game-based learning on social collaboration, problem-solving skills, and motivation: An integrative approach of expectancy-value theory and flow theory. Learning and Motivation, 90. https://doi.org/10.1016/j.lmot.2025.102123
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
Bahadur, S. G. C., Bhandari, P., Gurung, S. K., Srivastava, E., Ojha, D., Dhungana, B. R. 2024. Examining the role of social influence, learning value and habit on students’ intention to use ChatGPT: The moderating effect of information accuracy in the UTAUT2 model. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2024.2403287
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M. 2022. A Primer on Partial Least Squares
Structural Equation Modeling (PLS-SEM). https://www.researchgate.net/publication/354331182
Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., Ringle, C. M. 2022. Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology, Marketing, 39(5), 1035–1064. https://doi.org/10.1002/mar.21640
Kusmaryono, I., Wijayanti, D., Maharani, H. R. 2022. Number of response options, reliability, validity, and potential bias in the use of the Likert scale in education and social science research: A literature review. International Journal of Educational Methodology, 8(4), 625–637. https://doi.org/10.12973/ijem.8.4.625
Kante, M., Michel, B. 2023. Use of partial least squares structural equation modelling (PLS-SEM) in privacy and disclosure research on social network sites: A systematic review. Computers in Human Behavior Reports, 10. https://doi.org/10.1016/j.chbr.2023.100291
Shela, V., Ramayah, T., Aravindan, K. L., Ahmad, N. H., Alzahrani, A. I. 2023. Run! This road has no ending! A systematic review of PLS-SEM application in strategic management research among developing nations. Heliyon, 9(12). https://doi.org/10.1016/j.heliyon.2023.e22476
Guenther, P., Guenther, M., Ringle, C. M., Zaefarian, G., Cartwright, S. 2025. PLS-SEM and reflective constructs: A response to recent criticism and a constructive path forward. Industrial Marketing
Management, 128, 1–9. https://doi.org/10.1016/j.indmarman.2025.05.003
Acosta-Enriquez, B. G., Ramos Farroñan, E. V., Villena Zapata, L. I., Mogollon Garcia, F. S., RabanalLeón, H. C., Morales Angaspilco, J. E., Bocanegra, J. C. S. 2024. Acceptance of artificial intelligence in university contexts: A conceptual analysis based on UTAUT2 theory. Heliyon, 10(19). https://doi.org/10.1016/j.heliyon.2024.e38315
Refbacks
- There are currently no refbacks.

