Open Access Peer-reviewed Research Article

Mobile Virtual Reality in Mathematics Education: Enhancing Self-Efficacy and Creative Thinking

Main Article Content

Khaled Ahmad Aqeel Alzoubi corresponding author

Abstract

Mobile Virtual Reality (VR) is increasingly recognized for its potential to make abstract and complex concepts accessible through immersive, portable experiences. In Jordan, students often struggle with mathematics, particularly in topics requiring spatial visualization and the understanding of dynamic processes. This study investigates the role of mobile VR in fostering creative thinking and self-efficacy in mathematics education. A quasi-experimental design was employed with forty-four first year Applied Mathematics students in Amman during the 2024/2025 academic year. Participants were randomly assigned to a control group (n = 21) taught via traditional slide presentations and an experimental group (n = 23) using a mobile VR-based learning module. Statistical analyses, including independent samples t-tests and Mann-Whitney U tests, showed statistically significant differences between the groups (p < 0.05). The results show that mobile VR instruction significantly enhances creative thinking compared to slide presentations. Additionally, learners in the VR condition showed higher mathematical self-efficacy. Effect sizes for creative thinking and self-efficacy were 1.55 and 1.02, respectively, showing a large to very large effect. Thus, mobile VR-based learning is a powerful tool for improving creative thinking and self-efficacy among mathematics students.

Keywords
creative thinking skills, mobile virtual reality, mathematics education, mobile learning

Article Details

How to Cite
Aqeel Alzoubi, K. A. (2025). Mobile Virtual Reality in Mathematics Education: Enhancing Self-Efficacy and Creative Thinking. Advances in Mobile Learning Educational Research, 6(1), 1710-1718. https://doi.org/10.25082/AMLER.2026.01.005

References

  1. Alfarsi, G., Tawafak, R. M., ElDow, A., Malik, S. I., Jabbar, J., Sideiri, A. A., & Mathew, R. (2020). General View about an Artificial Intelligence Technology in Education Domain. Proceedings of the International Conference on Culture Heritage, Education, Sustainable Tourism, and Innovation Technologies. https://doi.org/10.5220/0010304501200127
  2. Alhalabi, W. (2016). Virtual reality systems enhance students’ achievements in engineering education. Behaviour & Information Technology, 35(11), 919-925. https://doi.org/10.1080/0144929x.2016.1212931
  3. Ali, W. (2020). Online and Remote Learning in Higher Education Institutes: A Necessity in light of COVID-19 Pandemic. Higher Education Studies, 10(3), 16. https://doi.org/10.5539/hes.v10n3p16
  4. Bacca, J., Baldiris, S., Fabregat, R., & Graf, S. (2014). Augmented reality trends in education: A systematic review of research and applications. Journal of Educational Technology & Society, 17(4), 133-149.
  5. Bandura, A. (1993). Perceived Self-Efficacy in Cognitive Development and Functioning. Educational Psychologist, 28(2), 117-148. https://doi.org/10.1207/s15326985ep2802_3
  6. Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman.
  7. Bandura, A. (2006). Guide for constructing self-efficacy scales. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 307–337). Information Age Publishing.
  8. Burdea, G., & Coiffet, P. (2003). Virtual Reality Technology. Presence: Teleoperators and Virtual Environments, 12(6), 663-664. https://doi.org/10.1162/105474603322955950
  9. Capatina, A., Schin, G. C., & Rusu, D. (2017). Increasing academic brand awareness through virtual reality. Revista De Management Comparat International, 18(2), 171-179.
  10. Cheng, K.-H., & Tsai, C.-C. (2012). Affordances of Augmented Reality in Science Learning: Suggestions for Future Research. Journal of Science Education and Technology, 22(4), 449-462. https://doi.org/10.1007/s10956-012-9405-9
  11. Choi, D. H., Dailey-Hebert, A., & Simmons Estes, J. (Eds.). (2016). Emerging Tools and Applications of Virtual Reality in Education. Advances in Educational Technologies and Instructional Design. https://doi.org/10.4018/978-1-4666-9837-6
  12. Clark, R. E. (1983). Reconsidering Research on Learning from Media. Review of Educational Research, 53(4), 445-459. https://doi.org/10.3102/00346543053004445
  13. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
  14. Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53-64. https://doi.org/10.1016/j.compedu.2018.04.007
  15. Dajani, D., & Abu Hegleh, A. S. (2019). Behavior intention of animation usage among university students. Heliyon, 5(10), e02536. https://doi.org/10.1016/j.heliyon.2019.e02536
  16. Dalgarno, B., & Lee, M. J. W. (2009). What are the learning affordances of 3‐D virtual environments? British Journal of Educational Technology, 41(1), 10-32. Portico. https://doi.org/10.1111/j.1467-8535.2009.01038.x
  17. Di Natale, A. F., Repetto, C., Riva, G., & Villani, D. (2020). Immersive virtual reality in K‐12 and higher education: A 10‐year systematic review of empirical research. British Journal of Educational Technology, 51(6), 2006-2033. Portico. https://doi.org/10.1111/bjet.13030
  18. Freina, L., & Ott, M. (2015). A LITERATURE REVIEW ON IMMERSIVE VIRTUAL REALITY IN EDUCATION: STATE OF THE ART AND PERSPECTIVES. 11th International Conference ELearning and Software for Education, 1, 133-141. https://doi.org/10.12753/2066-026x-15-020
  19. Goff, E. E., Mulvey, K. L., Irvin, M. J., & Hartstone-Rose, A. (2018). Applications of Augmented Reality in Informal Science Learning Sites: a Review. Journal of Science Education and Technology, 27(5), 433-447. https://doi.org/10.1007/s10956-018-9734-4
  20. Hew, K. F., & Cheung, W. S. (2009). Use of three-dimensional (3-D) immersive virtual worlds in K-12 and higher education settings: A review of the research. British Journal of Educational Technology, 41(1), 33-55. https://doi.org/10.1111/j.1467-8535.2008.00900.x
  21. Hu-Au, E., & Lee, J. J. (2017). Virtual reality in education: a tool for learning in the experience age. International Journal of Innovation in Education, 4(4), 215-226. https://doi.org/10.1504/ijiie.2017.091481
  22. Ibáñez, M.-B., & Delgado-Kloos, C. (2018). Augmented reality for STEM learning: A systematic review. Computers & Education, 123, 109-123. https://doi.org/10.1016/j.compedu.2018.05.002
  23. Jensen, C. G. (2017). Collaboration and dialogue in virtual reality. Journal of Problem Based Learning in Higher Education, 5(1), 1-12.
  24. Jonassen, D. H. (1999). Designing constructivist learning environments. In C. M. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory (Vol. II, pp. 215–239). Lawrence Erlbaum Associates.
  25. Karakose, T., Tülübaş, T., & Papadakis, S. (2022). Revealing the Intellectual Structure and Evolution of Digital Addiction Research: An Integrated Bibliometric and Science Mapping Approach. International Journal of Environmental Research and Public Health, 19(22), 14883. https://doi.org/10.3390/ijerph192214883
  26. Kaufmann, H., & Schmalstieg, D. (2003). Mathematics and geometry education with collaborative augmented reality. Computers & Graphics, 27(3), 339-345. https://doi.org/10.1016/s0097-8493(03)00028-1
  27. Kaufmann, H., Steinbügl, K., Dünser, A., & Glück, J. (2005). General training of spatial abilities by geometry education in augmented reality. Annual Review of Cybertherapy and Telemedicine, 3, 65-76.
  28. Kozma, R. B. (1994). Will media influence learning? Reframing the debate. Educational Technology Research and Development, 42(2), 7-19. https://doi.org/10.1007/bf02299087
  29. Lampropoulos, G., & Papadakis, S. (2025). The Educational Value of Artificial Intelligence and Social Robots. Social Robots in Education, 3-15. https://doi.org/10.1007/978-3-031-82915-4_1
  30. Lavidas, K., Papadakis, S., Manesis, D., Grigoriadou, A. S., & Gialamas, V. (2022). The Effects of Social Desirability on Students’ Self-Reports in Two Social Contexts: Lectures vs. Lectures and Lab Classes. Information, 13(10), 491. https://doi.org/10.3390/info13100491
  31. Lavidas, K., Petropoulou, A., Papadakis, S., Apostolou, Z., Komis, V., Jimoyiannis, A., & Gialamas, V. (2022). Factors Affecting Response Rates of the Web Survey with Teachers. Computers, 11(9), 127. https://doi.org/10.3390/computers11090127
  32. Lee, E. A. L., Wong, K. W., & Fung, C. C. (2010). How does desktop virtual reality enhance learning outcomes? A structural equation modeling approach. Computers & Education, 55(4), 1424-1442. https://doi.org/10.1016/j.compedu.2010.06.006
  33. Leikin, R. (2009). Exploring Mathematical Creativity Using Multiple Solution Tasks. Creativity in Mathematics and the Education of Gifted Students, 129-145. https://doi.org/10.1163/9789087909352_010
  34. Maas, M. J., & Hughes, J. M. (2020). Virtual, augmented and mixed reality in K–12 education: a review of the literature. Technology, Pedagogy and Education, 29(2), 231-249. https://doi.org/10.1080/1475939x.2020.1737210
  35. Makransky, G., & Lilleholt, L. (2018). A structural equation modeling investigation of the emotional value of immersive virtual reality in education. Educational Technology Research and Development, 66(5), 1141-1164. https://doi.org/10.1007/s11423-018-9581-2
  36. Mora, C. E., Martín-Gutiérrez, J., Añorbe-Díaz, B., & González-Marrero, A. (2017). Virtual Technologies Trends in Education. EURASIA Journal of Mathematics, Science and Technology Education, 13(2). https://doi.org/10.12973/eurasia.2017.00626a
  37. Mayer, R. E. (Ed.). (2014). The Cambridge Handbook of Multimedia Learning. Cambridge University Press. https://doi.org/10.1017/cbo9781139547369
  38. Mikropoulos, T. A., & Natsis, A. (2011). Educational virtual environments: A ten-year review of empirical research (1999–2009). Computers & Education, 56(3), 769-780. https://doi.org/10.1016/j.compedu.2010.10.020
  39. Pajares, F., & Miller, M. D. (1994). Role of self-efficacy and self-concept beliefs in mathematical problem solving: A path analysis. Journal of Educational Psychology, 86(2), 193-203. https://doi.org/10.1037/0022-0663.86.2.193
  40. Papadakis, S., Lytvynova, S. H., Ivanova, S. M., & Selyshcheva, I. A. (2024, October). Advancing lifelong learning with AI-enhanced ICT: A review of 3L-Person 2024. CEUR Workshop Proceedings.
  41. Papadakis, S., Striuk, A. M., Kravtsov, H. M., Shyshkina, M. P., Marienko, M. V., & Danylchuk, H. B. (2024). Embracing digital innovation and cloud technologies for transformative learning experiences.
  42. Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books.
  43. Passig, D., Tzuriel, D., & Eshel-Kedmi, G. (2016). Improving children’s cognitive modifiability by dynamic assessment in 3D Immersive Virtual Reality environments. Computers & Education, 95, 296-308. https://doi.org/10.1016/j.compedu.2016.01.009
  44. Pellas, N., Fotaris, P., Kazanidis, I., & Wells, D. (2018). Augmenting the learning experience in primary and secondary school education: a systematic review of recent trends in augmented reality game-based learning. Virtual Reality, 23(4), 329-346. https://doi.org/10.1007/s10055-018-0347-2
  45. Plass, J. L., Homer, B. D., & Kinzer, C. K. (2015). Foundations of Game-Based Learning. Educational Psychologist, 50(4), 258-283. https://doi.org/10.1080/00461520.2015.1122533
  46. Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778. https://doi.org/10.1016/j.compedu.2019.103778
  47. Runco, M. A., & Acar, S. (2012). Divergent Thinking as an Indicator of Creative Potential. Creativity Research Journal, 24(1), 66-75. https://doi.org/10.1080/10400419.2012.652929
  48. Schunk, D. H., & Pajares, F. (2009). Self-efficacy theory. In K. R. Wentzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 35-53). Routledge.
  49. Sherman, W. R., & Craig, A. B. (2018). Virtual Reality. Understanding Virtual Reality, 780-821. https://doi.org/10.1016/b978-0-12-800965-9.00010-6
  50. Silver, E. A. (1997). Fostering creativity through instruction rich in mathematical problem solving and problem posing. Zentralblatt Für Didaktik Der Mathematik, 29(3), 75-80. https://doi.org/10.1007/s11858-997-0003-x
  51. Sırakaya, M., & Alsancak Sırakaya, D. (2020). Augmented reality in STEM education: a systematic review. Interactive Learning Environments, 30(8), 1556-1569. https://doi.org/10.1080/10494820.2020.1722713
  52. Slater, M., & Wilbur, S. (1997). A Framework for Immersive Virtual Environments (FIVE): Speculations on the Role of Presence in Virtual Environments. Presence: Teleoperators and Virtual Environments, 6(6), 603-616. https://doi.org/10.1162/pres.1997.6.6.603
  53. Sriraman, B. (2005). Are Giftedness and Creativity Synonyms in Mathematics? Journal of Secondary Gifted Education, 17(1), 20-36. https://doi.org/10.4219/jsge-2005-389
  54. Sutcliffe, A., & Gault, B. (2004). Heuristic evaluation of virtual reality applications. Interacting with Computers, 16(4), 831-849. https://doi.org/10.1016/j.intcom.2004.05.001
  55. Tülübaş, T., Karakose, T., & Papadakis, S. (2023). A Holistic Investigation of the Relationship between Digital Addiction and Academic Achievement among Students. European Journal of Investigation in Health, Psychology and Education, 13(10), 2006-2034. https://doi.org/10.3390/ejihpe13100143
  56. Usher, E. L., & Pajares, F. (2008). Sources of Self-Efficacy in School: Critical Review of the Literature and Future Directions. Review of Educational Research, 78(4), 751-796. https://doi.org/10.3102/0034654308321456
  57. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
  58. Zimmerman, B. J. (2000). Self-Efficacy: An Essential Motive to Learn. Contemporary Educational Psychology, 25(1), 82-91. https://doi.org/10.1006/ceps.1999.1016
  59. Zimmerman, B. J., & Cleary, T. J. (2009). Motives to self-regulate learning: A social cognitive account. In K. R. Wentzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 247-264). Routledge.