Effects of Virtual Reality (VR) Video as Asynchronous e-Learning Supplement on Student Learning Outcomes

Ismail Ismail

Abstract


The purpose of this study is to explore the impact of virtual reality (VR) videos as asynchronous e-learning supplements on improving student learning outcomes. This study is an experimental study, using two sample groups (experimental and control). The experimental group was taught by presenting virtual reality (VR) videos connected to e-learning in the LMS, and the control group by traditional (face-to-face) or expository learning (without VR). Research participants in each sample group were 24 early semester students who programmed a basic natural science course at the Universitas Pendidikan Mandalika (UNDIKMA). The groups were given the initial task as a pretest, learning treatment, and the final task as a posttest. Learning assignments and descriptions of learning materials are related to the theme of 'climate change.' Test instruments (essays) were employed to measure students' cognitive learning outcomes. The test instrument used fulfills the validity aspect as a psychometric property of the instrument. Data were analyzed descriptively (n-gain parameter), and statistically (analysis of mean differences using independent sample t-test) at a significance level of 0.05. The results of the descriptive and statistical tests showed that there was a significant impact from the application of virtual reality (VR) videos as asynchronous e-learning supplements to the improvement of student learning outcomes. Our findings confirm that virtual reality (VR) videos as asynchronous e-learning supplements are better at improving student learning outcomes when compared to traditional face-to-face (expository) learning. More detailed results are presented in this article.

Keywords


virtual reality (VR) video, asynchronous e-learning, learning outcome

Full Text:

PDF

References


Achuthan, K., Nedungadi, P., Kolil, V., Diwakar, S., & Raman, R. (2020). Innovation Adoption and Diffusion of Virtual Laboratories. International Journal of Online and Biomedical Engineering (IJOE), 16(09), 4. https://doi.org/10.3991/ijoe.v16i09.11685

Amenduni, F., & Ligorio, M. B. (2022). Blended Learning and Teaching in Higher Education: An International Perspective. Education Sciences, 12(2), 129. https://doi.org/10.3390/educsci12020129

Barnidge, M., Sherrill, L. A., Kim, B., Cooks, E., Deavours, D., Viehouser, M., Broussard, R., & Zhang, J. (2022). The Effects of Virtual Reality News on Learning about Climate Change. Mass Communication and Society, 25(1), 1–24. https://doi.org/10.1080/15205436.2021.1925300

Bernard, R. M., Borokhovski, E., Schmid, R. F., Tamim, R. M., & Abrami, P. C. (2014). A meta-analysis of blended learning and technology use in higher education: From the general to the applied. Journal of Computing in Higher Education, 26(1), 87–122. https://doi.org/10.1007/s12528-013-9077-3

Bloom, B. H. (1956). Taxonomy of Educational Objectives, Handbook 1: Cognitive Domain. David Mackay Co.

Chang, C.-Y., Panjaburee, P., Lin, H.-C., Lai, C.-L., & Hwang, G.-H. (2022). Effects of online strategies on students’ learning performance, self-efficacy, self-regulation and critical thinking in university online courses. Educational Technology Research and Development. https://doi.org/10.1007/s11423-021-10071-y

Edmunds, R., Thorpe, M., & Conole, G. (2012). Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach: Exploring student perceptions of ICT in three contexts. British Journal of Educational Technology, 43(1), 71–84. https://doi.org/10.1111/j.1467-8535.2010.01142.x

Guillén-Gámez, F. D., Romero Martínez, S. J., & Ordóñez Camacho, X. G. (2020). Diagnosis of the attitudes towards ICT of education students according to gender and educational modality. Apertura, 12(1). https://doi.org/10.32870/Ap.v12n1.1786

Hake, R., R. (1999). Analyzing change/gain scores. Indiana University: Woodland Hills, CA - USA.

Hernandez-de-Menendez, M., Escobar Díaz, C., & Morales-Menendez, R. (2020). Technologies for the future of learning: State of the art. International Journal on Interactive Design and Manufacturing (IJIDeM), 14(2), 683–695. https://doi.org/10.1007/s12008-019-00640-0

Hoesni, W. E. W., Hassan, F. N. A., Ajmain, M. T., & Rosli, N. A. M. (2020). The Effects of ICT Towards Students’ Attitude. Khazanah Pendidikan Islam, 2(2), 90–99. https://doi.org/10.15575/kp.v2i2.9270

Hõrak, H. (2019). Computer Vision-Based Unobtrusive Physical Activity Monitoring in School by Room-Level Physical Activity Estimation: A Method Proposition. Information, 10(9), 269. https://doi.org/10.3390/info10090269

Kamińska, D., Sapiński, T., Aitken, N., Rocca, A. D., Barańska, M., & Wietsma, R. (2017). Virtual reality as a new trend in mechanical and electrical engineering education. Open Physics, 15(1), 936–941. https://doi.org/10.1515/phys-2017-0114

Kamińska, D., Sapiński, T., Wiak, S., Tikk, T., Haamer, R. E., Avots, E., Helmi, A., Ozcinar, C., & Anbarjafari, G. (2019). Virtual Reality and Its Applications in Education: Survey. Information, 10(10), 318. https://doi.org/10.3390/info10100318

Lazar, I. (2018). Understanding the role of modern technologies in education: A scoping review protocol. https://doi.org/10.5281/ZENODO.1788345

Marks, B., & Thomas, J. (2022). Adoption of virtual reality technology in higher education: An evaluation of five teaching semesters in a purpose-designed laboratory. Education and Information Technologies, 27(1), 1287–1305. https://doi.org/10.1007/s10639-021-10653-6

Safadel, P., & White, D. (2020). Effectiveness of Computer-Generated Virtual Reality (VR) in Learning and Teaching Environments with Spatial Frameworks. Applied Sciences, 10(16), 5438. https://doi.org/10.3390/app10165438

Sireci, S., & Faulkner-Bond, M. (2014). Validity evidence based on test content. Psicothema, 26(1), 100–107. https://doi.org/10.7334/psicothema2013.256

Smutny, P. (2022). Learning with virtual reality: A market analysis of educational and training applications. Interactive Learning Environments, 0(0), 1–14. https://doi.org/10.1080/10494820.2022.2028856

Souza, A. C. de, Alexandre, N. M. C., Guirardello, E. de B., Souza, A. C. de, Alexandre, N. M. C., & Guirardello, E. de B. (2017). Psychometric properties in instruments evaluation of reliability and validity. Epidemiologia e Serviços de Saúde, 26(3), 649–659. https://doi.org/10.5123/S1679-49742017000300022

Vo, H. M., Zhu, C., & Diep, N. A. (2017). The effect of blended learning on student performance at course-level in higher education: A meta-analysis. Studies in Educational Evaluation, 53, 17–28. https://doi.org/10.1016/j.stueduc.2017.01.002

Wittich, C. M., Agrawal, A., Cook, D. A., Halvorsen, A. J., Mandrekar, J. N., Chaudhry, S., Dupras, D. M., Oxentenko, A. S., & Beckman, T. J. (2017). E-learning in graduate medical education: Survey of residency program directors. BMC Medical Education, 17(1), 114. https://doi.org/10.1186/s12909-017-0953-9

Yager, R. E. (2000). A Vision for What Science Education Should Be Like for the First 25 Years of a New Millennium. School Science and Mathematics, 100(6), 327–341. https://doi.org/10.1111/j.1949-8594.2000.tb17327.x

Yu, Z. (2021). A meta-analysis of the effect of virtual reality technology use in education. Interactive Learning Environments, 0(0), 1–21. https://doi.org/10.1080/10494820.2021.1989466




DOI: https://doi.org/10.33394/j-ps.v10i3.5214

Refbacks

  • There are currently no refbacks.




Copyright (c) 2022 Ismail Ismail

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License
J-PS (Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram) p-ISSN (print) 2338-4530, e-ISSN (online) 2540-7899 is licensed under a Creative Commons Attribution 4.0 International License.

View My Stats