Metaverse Learning Design in Increasing Student Understanding in Distance Education Programs
Abstract
Distance education has become an innovative solution in providing access to education without being constrained by geographical boundaries. However, the challenges that arise in understanding the concepts of learning and social interaction remain the focus of attention. This research discusses the application of the metaverse as a learning design strategy to increase student understanding in distance education programs. Metaverse, as a 3D virtual environment that simulates the real world, provides opportunities to create more immersive and interactive learning experiences. In this research, we developed a metaverse-based learning design that is integrated with the distance education program curriculum. This method includes the use of simulations, avatars, and real-time interactions to create immersive learning experiences. This research involved a group of students from a distance education program who were selected as research subjects. Data was collected through surveys, observations, and concept understanding tests before and after implementing the metaverse learning design. The results of data analysis show a significant increase in student understanding after participating in metaverse-based learning.
Apart from increasing conceptual understanding, the findings of this research also reveal that metaverse-based learning can stimulate social interaction between students, even though they are in different locations. This has a positive impact on student motivation and involvement in the learning process. In conclusion, metaverse learning design can be an innovative solution in increasing the effectiveness of distance education programs. Combining metaverse technology with the curriculum can create a more interesting learning experience and contribute to the development of student understanding of concepts and social interactions. The pedagogical implications of this research can open the door to further developments in designing relevant and effective learning strategies in distance education contexts
References
Alam, A. (2022). Employing adaptive learning and intelligent tutoring robots for virtual classrooms and smart campuses: reforming education in the age of artificial intelligence. In Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2022 (pp. 395–406). Springer.
Beck, D., Morgado, L., & O’Shea, P. (2023). Educational Practices and Strategies with Immersive Learning Environments: Mapping of Reviews for using the Metaverse. IEEE Transactions on Learning Technologies.
Bergene, A. C., Wollscheid, S., & Gjerustad, C. (2023). Digital distance learning: A question of flexibility in time and space? Nordic Journal of Digital Literacy, 2, 128–139.
De Back, T. T., Tinga, A. M., & Louwerse, M. M. (2021). Learning in immersed collaborative virtual environments: design and implementation. Interactive Learning Environments, 1–19.
Dincelli, E., & Yayla, A. (2022). Immersive virtual reality in the age of the Metaverse: A hybrid-narrative review based on the technology affordance perspective. The Journal of Strategic Information Systems, 31(2), 101717.
Gamage, K. A. A., Silva, E. K. de, & Gunawardhana, N. (2020). Online delivery and assessment during COVID-19: Safeguarding academic integrity. Education Sciences, 10(11), 301.
Güvercin, D., Kesici, A., & AKBAŞLI, S. (2022). Distance education experiences of teacher-parents during the COVID-19. Athens Journal of Education, 9(4).
Hadi Mogavi, R., Hoffman, J., Deng, C., Du, Y., Haq, E.-U., & Hui, P. (2023). Envisioning an Inclusive Metaverse: Student Perspectives on Accessible and Empowering Metaverse-Enabled Learning. Proceedings of the Tenth ACM Conference on Learning@ Scale, 346–353.
Hutson, J. (2022). Social virtual reality: Neurodivergence and inclusivity in the metaverse. Societies, 12(4), 102.
Linnes, C., Ronzoni, G., Agrusa, J., & Lema, J. (2022). Emergency Remote Education and Its Impact on Higher Education: A Temporary or Permanent Shift in Instruction? Education Sciences, 12(10), 721.
Narin, N. G. (2021). A content analysis of the metaverse articles. Journal of Metaverse, 1(1), 17–24.
Pregowska, A., Masztalerz, K., Garlińska, M., & Osial, M. (2021). A worldwide journey through distance education—from the post office to virtual, augmented and mixed realities, and education during the covid-19 pandemic. In Education Sciences (Vol. 11, Issue 3). MDPI AG. https://doi.org/10.3390/educsci11030118
Shu, X., & Gu, X. (2023). An empirical study of A smart education model enabled by the edu-metaverse to enhance better learning outcomes for students. Systems, 11(2), 75.
Sopher, H., & Lescop, L. (2023). Learning in metaverse: the immersive atelier model of the architecture studio. Archnet-IJAR: International Journal of Architectural Research.
Sumbawati, M. S., Basuki, I., Ismayati, E., & Rijanto, T. (2020). Student Learning Independence in Online Learning Depends on Motivation. International Joint Conference on Science and Engineering (IJCSE 2020), 342–347.
Tlili, A., Huang, R., Shehata, B., Liu, D., Zhao, J., Metwally, A. H. S., Wang, H., Denden, M., Bozkurt, A., & Lee, L.-H. (2022). Is Metaverse in education a blessing or a curse: a combined content and bibliometric analysis. Smart Learning Environments, 9(1), 1–31.
Tuma, F. (2021). The use of educational technology for interactive teaching in lectures. Annals of Medicine and Surgery, 62, 231–235.
Zimmerman, D. W., & Zumbo, B. D. (2014). The relative power of parametric and nonparametric statistical methods. In A Handbook for Data Analysis in the Behaviorial Sciences (pp. 481–517). Psychology Press.
Аbrosimova, G. A. (2020). Digital literacy and digital skills in university study. International Journal of Higher Education, 9(8), 52–58.
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