PERSEPSI MAHASISWA CALON GURU TERHADAP PEMANFAATAN SPATIAL.IO SEBAGAI VIRTUAL LEARNING EXPERIENCE BERBASIS METAVERSE
DOI:
https://doi.org/10.23969/jp.v11i01.44132Keywords:
spatial.io, metaverse, virtual learning experience, pre-service teachers, UTAUTAbstract
This study aims to explore pre-service teachers’ perceptions of the use of Spatial.io as a metaverse-based virtual learning experience in higher education. The study is grounded in the growing demand for learning experiences that are more immersive, interactive, and contextual, particularly in response to the limitations of conventional online learning in fostering engagement and social presence. A descriptive quantitative approach with a survey design was employed. Data were collected through an online questionnaire using a five-point Likert scale developed based on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, encompassing five dimensions: performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioral intention. The respondents consisted of 300 active students enrolled in teacher education programs in Indonesia, selected through convenience sampling. The findings indicate that all UTAUT dimensions fell within the high category, with the highest mean found in facilitating conditions (4.04), followed by social influence (4.02), performance expectancy (4.00), behavioral intention (3.98), and effort expectancy (3.90). These findings suggest that pre-service teachers demonstrate a positive acceptance of Spatial.io, particularly due to the availability of supporting facilities and the influence of the academic environment. However, the ease-of-use dimension still requires further attention. This study highlights the potential of Spatial.io to be developed as an innovative pedagogical space in teacher education, provided that its integration is supported by technical training, well-structured instructional design, and sustained institutional support.
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References
Abbad, M. M. (2021). Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. Education and information technologies, 26(6), 7205-7224.
Alfaisal, R., Hashim, H., & Azizan, U. H. (2024). Metaverse system adoption in education: a systematic literature review. Journal of Computers in Education, 11(1), 259-303.
Altınışık, Y., Karabulut, H., & Kariper, İ. A. (2025). Exploring students’ perception of cancerous and normal cell division through the metaverse. The Journal of Educational Research, 1-12.
Backfisch, I., Sibley, L., Lachner, A., Kirchner, K. T., Hische, C., & Scheiter, K. (2024). Enhancing pre-service teachers’ technological pedagogical content knowledge (TPACK): Utility-value interventions support knowledge integration. Teaching and Teacher Education, 142, 104532.
Badiozaman, I. F. A., & Segar, A. R. (2026). Reimagining Education in the Digital Age. In Pedagogical Innovation Through Technology-Enhanced Learning Design (pp. 1-20). Routledge.
Barreda-Ángeles, M., Horneber, S., & Hartmann, T. (2023). Easily applicable social virtual reality and social presence in online higher education during the covid-19 pandemic: A qualitative study. Computers & Education: X Reality, 2, 100024.
Baxter, G., & Hainey, T. (2024). Using immersive technologies to enhance the student learning experience. Interactive Technology and Smart Education, 21(3), 403-425.
Bowen, J. A. (2012). Teaching naked: How moving technology out of your college classroom will improve student learning. John Wiley & Sons.
De Witte, B., Reynaert, V., Kieken, D., Jabbour, J., Demarey, C., Dumoulin, A., & Possik, J. (2025). Immersive virtual reality learning and cognitive load: A multiple-day field study. Computers in Human Behavior, 108853.
Dwivedi, Y. K., Hughes, L., Wang, Y., Alalwan, A. A., Ahn, S. J., Balakrishnan, J., ... & Wirtz, J. (2023). Metaverse marketing: How the metaverse will shape the future of consumer research and practice. Psychology & Marketing, 40(4), 750-776.
Garcia, M. B. (2026). The illusion of presence and the reality of engagement: how avatar dynamics define social interaction in an educational metaverse?. Interactive Learning Environments, 1-15.
Hwang, G. J., & Chien, S. Y. (2022). Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective. Computers and Education: Artificial Intelligence, 3, 100082.
Hwang, Y., & Lee, J. Y. (2024). Exploring pre-service English teachers’ perceptions and technological acceptance of metaverse language classroom design. Sage Open, 14(4), 21582440241300543.
Hwang, Y., Shin, D., & Lee, H. (2023). Students’ perception on immersive learning through 2D and 3D metaverse platforms. Educational technology research and development, 71(4), 1687-1708.
Lee, H., & Hwang, Y. (2023). Training with, about, for Metaverse: A mixed methods research on training pre-service teachers as metaverse-certified practitioners. Journal of English Teaching through Movies and Media, 24(4), 73-93.
Li, C., Jiang, Y., Ng, P. H., Dai, Y., Cheung, F., Chan, H. C., & Li, P. (2024). Collaborative learning in the edu-metaverse era: An empirical study on the enabling technologies. IEEE Transactions on Learning Technologies, 17, 1107-1119.
Makransky, G., & Petersen, G. B. (2021). The cognitive affective model of immersive learning (CAMIL): A theoretical research-based model of learning in immersive virtual reality. Educational psychology review, 33(3), 937-958.
Mitra, S. (2023). Metaverse: A potential virtual-physical ecosystem for innovative blended education and training. Journal of Metaverse, 3(1), 66-72.
Mitra, S. (2023). Metaverse: A potential virtual-physical ecosystem for innovative blended education and training. Journal of Metaverse, 3(1), 66-72.
Momdjian, L., Manegre, M., & Gutiérrez-Colón, M. (2025). A study of preservice teachers’ digital competence development: Exploring the role of direct instruction, integrated practice, and modeling. Evaluation and Program Planning, 109, 102538.
Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486-497.
Narin, N. G. (2021). A content analysis of the metaverse articles. Journal of metaverse, 1(1), 17-24.
Oh, H. J., Kim, J., Chang, J. J., Park, N., & Lee, S. (2023). Social benefits of living in the metaverse: The relationships among social presence, supportive interaction, social self-efficacy, and feelings of loneliness. Computers in Human Behavior, 139, 107498.
Pandey, P. K., Pandey, P. K., Mahajan, S., Behera, J., & Tausif, M. R. (2024). Mitigating negative externalities in the metaverse: Challenges and strategies. In Green metaverse for greener economies (pp. 247-269). CRC Press.
Pradana, M., & Elisa, H. P. (2023). Metaverse in education: A systematic literature review. Cogent Social Sciences, 9(2), 2252656.
Qiu, Y., Isusi-Fagoaga, R., & García-Aracil, A. (2023). Perceptions and use of metaverse in higher education: A descriptive study in China and Spain. Computers and Education: Artificial Intelligence, 5, 100185.
Rahi, S., Othman Mansour, M. M., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411-435.
Rahman, M. M., & Hossain, M. E. (2025). Digital dynamics in technology adoption: Exploring socio-economic development through technology and education. Technology in Society, 82, 102906.
Rullyana, G., & Triandari, R. (2025). Extended Reality in Special Education: A Bibliometric Analysis of Global Research (2015–2024). Journal of Education and Learning Environments, 1(2), 47-61.
Shin, D. H., Biocca, F., & Choo, H. (2013). Exploring the user experience of three-dimensional virtual learning environments. Behaviour & Information Technology, 32(2), 203-214.
Skulmowski, A., & Xu, K. M. (2022). Understanding cognitive load in digital and online learning: A new perspective on extraneous cognitive load. Educational psychology review, 34(1), 171-196.
Suh, A., & Prophet, J. (2018). The state of immersive technology research: A literature analysis. Computers in Human behavior, 86, 77-90.
Susilana, R., Dewi, L., & Rullyana, G. (2024). Exploring student perceptions of virtual learning experiences: A study of the use of the spatial. io 3D metaverse platform. Journal of Education Technology, 8(4), 673-683.
Susilana, R., Riyana, C., Rullyana, G., Mulyadi, D., Sutisna, M. R., & Amelia, D. (2025, September). Natural Language Processing for Pedagogical Insight: A Study of User Reviews in Teacher Training Simulators. In 2025 11th International Conference on Education and Technology (ICET) (pp. 274-280). IEEE.
Susilana, R., Rusmana, N., Rullyana, G., Nur, L., & Ardiansah, A. (2022). Hybrid learning based training for elementary school teachers in improving pedagogical competence. PEDAGOGIA, 20(3), 233-242.
Tlili, A., Huang, R., Shehata, B., Liu, D., Zhao, J., Metwally, A. H. S., ... & Burgos, D. (2022). Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis. Smart Learning Environments, 9(1), 24.
Vannoy, S. A., & Palvia, P. (2010). The social influence model of technology adoption. Communications of the ACM, 53(6), 149-153.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view1. MIS quarterly, 27(3), 425-478.
Wang, H., Ning, H., Lin, Y., Wang, W., Dhelim, S., Farha, F., ... & Daneshmand, M. (2023). A survey on the metaverse: The state-of-the-art, technologies, applications, and challenges. IEEE Internet of Things Journal, 10(16), 14671-14688.
Yeganeh, L. N., Fenty, N. S., Chen, Y., Simpson, A., & Hatami, M. (2025). The future of education: A multi-layered metaverse classroom model for immersive and inclusive learning. Future Internet, 17(2), 63.
Zhou, B. (2022). Building a smart education ecosystem from a metaverse perspective. Mobile Information Systems, 2022(1), 1938329.
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