The Computer Science VR Revolution (2000-2025): Virtual ‎Reality Is Rewriting The Rules of Computer Science ‎Education

  • Authors

    • Aasik Abulcassim Department of Information Technology, Sri Lanka Institute of Advanced Technological ‎Education, Colombo, Sri Lanka
    • Md Gapar Md Johar Post Graduate Centre, Management and Science University, Shah Alam, Selangor, Malaysia
    • Ali Khatibi Post Graduate Centre, Management and Science University, Shah Alam, Selangor, Malaysia
    https://doi.org/10.14419/89eysc40

    Received date: July 25, 2025

    Accepted date: August 27, 2025

    Published date: September 13, 2025

  • Virtual Reality; Computer Science Education; Bibliometric Analysis; Educational Technology; ‎Immersive Learning

  • Abstract

    This study examined the development of virtual reality (VR) technology in computer science ‎education over the past 25 years. As educational institutions increasingly adopt VR tools to teach ‎programming concepts, understanding practical approaches and establishing future research ‎directions are essential for educators and policymakers. This study analysed 341 peer-reviewed ‎publications from the Scopus database (2000-2025) using specialised software to examine ‎publication trends, citation patterns, and research themes. This approach maps the evolution of ‎VR educational research and identifies the most influential studies. The results show dramatic ‎growth in VR research beginning in 2018, with annual publications increasing from 09 to 96 ‎studies by 2024. Five primary research areas have emerged: immersive educational technologies, ‎teaching methods, digital learning frameworks, technology integration strategies, and subject-specific applications. The most cited works were review studies rather than individual ‎experiments, suggesting that researchers build foundational knowledge. This study has ‎limitations, including its focus on English-language publications and reliance on one database, ‎potentially missing international perspectives. Future research should investigate long-term ‎learning outcomes and include diverse geographical perspectives. This comprehensive analysis ‎provides evidence-based guidance for educators and data-driven insights into technology ‎investment decisions in computer science education‎.

  • References

    1. G. Yakubova, R. O. Kellems, B. B. Chen, and Z. Cusworth, “Practitioners’ ‎Attitudes and Perceptions Toward the Use of Augmented and Virtual Reality ‎Technologies in the Education of Students With Disabilities,” Journal of Special ‎Education Technology, vol. 37, no. 2, pp. 286-296, 2021, https://doi.org/10.1177/01626434211004445.
    2. ‎S. Rashid, A. Khattak, M. Ashiq, S. Ur Rehman, and M. Rashid Rasool, “Educational ‎Landscape of Virtual Reality in Higher Education: Biblio-metric Evidences of Publishing ‎Patterns and Emerging Trends,” Publications, vol. 9, no. 2, 2021, https://doi.org/10.3390/publications9020017.
    3. ‎S. H. Urueta, “Challenges Facing the Adoption of VR for Language Education: ‎Evaluating Dual-Frame System Design as a Possible Solution,” In-ternational Journal of ‎Information and Education Technology, vol. 13, no. 6, pp. 1001-1008, 2023, https://doi.org/10.18178/ijiet.2023.13.6.1898.
    4. ‎N. K. Shah et al., “Comparison of virtual reality platforms to enhance medical education ‎for procedures,” Frontiers in Virtual Reality, vol. 3, 2022, https://doi.org/10.3389/frvir.2022.1000035.
    5. ‎S. K. Marshall et al., “Nuclear Medicine Radiological Hot Laboratory Simulation: A ‎Mixed-Method Intervention Study on Immersive Virtual Real-ity for Sustainable ‎Education,” Applied Sciences, vol. 14, no. 12, 2024, https://doi.org/10.3390/app14125041.
    6. ‎M. Muskhir, A. Luthfi, R. Watrianthos, U. Usmeldi, A. Fortuna, and A. Dwinggo ‎Samala, “Emerging Research on Virtual Reality Applications in Vocational Education: A ‎Bibliometric Analysis,” Journal of Information Technology Education: Innovations in ‎Practice, vol. 23, 2024, https://doi.org/10.28945/5284.
    7. ‎R. Walker et al., “Welcome, How Can I Help You? Design Considerations for a Virtual ‎Reality Environment to Support the Orientation of Online Initial Teacher Education ‎Students,” Education Sciences, vol. 13, no. 5, 2023, https://doi.org/10.3390/educsci13050485.
    8. ‎M. Choshi, “Addressing Challenges in Undergraduate Community Health Nursing ‎Clinical: Kolb’s Experiential Learning Theory,” J Nurs Educ, vol. 64, no. 6, pp. e31-e34, ‎Jun 2025, https://doi.org/10.3928/01484834-20240513-02.
    9. ‎F. Abakah and A. Antwi, “Using experiential learning in solving 3-dimensional problems ‎in trigonometry,” Gulf Journal of Mathematics, vol. 16, no. 2, pp. 364-379, 2024, https://doi.org/10.56947/gjom.v16i2.1817.
    10. ‎S. Valenti, B. Lund, and T. Wang, “Virtual Reality as a Tool for Student Orientation in ‎Distance Education Programs,” Information Technology and Libraries, vol. 39, no. 2, ‎‎2020, https://doi.org/10.6017/ital.v39i2.11937.
    11. ‎C. Kustandi, D. N. Fadhillah, R. Situmorang, D. S. Prawiladilaga, and S. Hartati, “VR ‎Use in Online Learning for Higher Education in Indonesia,” International Journal of ‎Interactive Mobile Technologies (iJIM)، vol. 14, no. 01, 2020, https://doi.org/10.3991/ijim.v14i01.11337.
    12. A. J. Hartstein, M. Verkuyl, K. Zimney, J. Yockey, and P. Berg-Poppe, “Virtual Reality ‎Instructional Design in Orthopedic Physical Therapy Edu-cation: A Mixed-Methods ‎Usability Test,” Simulation & Gaming, vol. 53, no. 2, pp. 111-134, 2022, https://doi.org/10.1177/10468781211073646.
    13. L. J. Hsin et al., “Mild simulator sickness can alter heart rate variability, mental workload, ‎and learning outcomes in a 360 degrees virtual reality ap-plication for medical education: a ‎post hoc analysis of a randomised controlled trial,” Virtual Real, pp. 1-17, Sep 14 2022, ‎ https://doi.org/10.1007/s10055-022-00688-6.
    14. D. Hamilton, J. McKechnie, E. Edgerton, and C. Wilson, “Immersive virtual reality as a ‎pedagogical tool in education: a systematic literature re-view of quantitative learning ‎outcomes and experimental design,” Journal of Computers in Education, vol. 8, no. 1, pp. ‎‎1-32, 2020, https://doi.org/10.1007/s40692-020-00169-2.
    15. H. Anifowose, K. Alhazzaa, and M. Dixit, “ENERGYSIM: techniques for advancing ‎building energy education through immersive virtual reality (VR) simulation,” Journal of ‎Information Technology in Construction, vol. 28, pp. 539-554, 2023, https://doi.org/10.36680/j.itcon.2023.028.
    16. Sunardi, Meyliana, S. W. H. L. Hendric, and Y. Rosmansyah, “Exploring Immersive ‎Virtual Reality in Higher Education: Research Gap and Future Direction—A Scoping ‎Review,” IEEE Access, vol. 13, pp. 76308-76321, 2025, https://doi.org/10.1109/ACCESS.2025.3565385.
    17. ‎B. Amarathunga, A. Khatibi, and Z. M. Talib, “Work readiness and trending avenues for ‎future studies: a systematic literature review and biblio-metric analysis,” Higher ‎Education, Skills and Work-Based Learning, vol. 14, no. 5, pp. 1087-1105, 2024, https://doi.org/10.1108/HESWBL-10-2023-0280.
    18. M. Visser, N. J. van Eck, and L. Waltman, “Large-scale comparison of bibliographic data ‎sources: Scopus, Web of ‎ Science, Dimensions, Crossref, and Microsoft Academic,” Quantitative Science Studies, vol. 2, ‎no. 1, pp. 20-41, 2021, https://doi.org/10.1162/qss_a_00112.
    19. ‎M. Aghel, S. M. F. Azam, and M. K. Aza Azlina, “Visualisation of global research trends ‎and future research directions of financial performance in higher education sector using ‎bibliometric analysis,” Journal of Applied Research in Higher Education, 2024, https://doi.org/10.1108/JARHE-02-2024-0088.
    20. ‎M. L. Groff, M. Offringa, A. Emdin, Q. Mahood, P. C. Parkin, and E. Cohen, ‎‎“Publication Trends of Pediatric and Adult Randomized Controlled Trials in General ‎Medical Journals, 2005-2018: A Citation Analysis,” Children (Basel), vol. 7, no. 12, Dec ‎‎15 2020, https://doi.org/10.3390/children7120293.
    21. ‎K. Dissanayake, M. G. M. Johar, and N. H. Ubeysekara, “Data Mining Techniques in ‎Disease Classification: Descriptive Bibliometric Analysis and Visualisation of Global ‎Publications,” International Journal of Computing and Digital Systems, vol. 13, no. 1, pp. ‎‎289-301, 2023 https://doi.org/10.12785/ijcds/130124.
    22. B. Amarathunga, “Work integrated learning and trending areas for future studies: ‎a systematic literature review and bibliometric analysis,” Asian Education and ‎Development Studies, vol. 13, no. 2, pp. 97-116, 2024, https://doi.org/10.1108/AEDS-12-2023-0175.
    23. ‎R. Zakaria et al., “Visualising and mapping a decade of literature on honey research: a ‎bibliometric analysis from 2011 to 2020,” Journal of Apicul-tural Research, vol. 60, no. 3, ‎pp. 359-368, 2021, https://doi.org/10.1080/00218839.2021.1898789.
    24. ‎J. Jagtap, S. Kolhar, and S. Patil, “Deep Learning in Plant Stress Phenomics Studies - A ‎Review,” International Journal of Computing and Digital Systems, vol. 17, no. 1, pp. 1-‎‎13, 2025, https://doi.org/10.12785/ijcds/1571029493.
    25. ‎A. S. Meelad, A. Khatibi, J. Tham, and S. M. F. Azam, “Meticulously Study Using ‎Bibliometric Analysis on Factors That Affecting the Perfor-mance of Small and Medium ‎Enterprises,” International Review of Management and Marketing, vol. 15, no. 2, pp. 395-‎‎405, 2025, https://doi.org/10.32479/irmm.17769.
    26. B. Amarathunga, A. Khatibi, and Z. M. Talib, “University–industry linkages and agendas ‎for future studies: a systematic literature review and bib-liometric analysis,” Asian ‎Education and Development Studies, vol. 13, no. 1, pp. 14-30, 2023, https://doi.org/10.1108/AEDS-08-2023-0104.
    27. M. G. M. J. Aasik Abulcassim, Ali Khatibi “Adoption of Virtual Learning Environments: ‎A Bibliometric Analysis of Trends and Future Research Directions,” International ‎scientific journal Science and Innovation, vol. 4, no. 3, pp. 53-72, 2025,
    28. M. Aria and C. Cuccurullo, “bibliometrix : An R-tool for comprehensive science mapping ‎analysis,” Journal of Informetrics, vol. 11, no. 4, pp. 959-975, 2017, https://doi.org/10.1016/j.joi.2017.08.007.
    29. B. Amarathunga, A. Khatibi, Z. M. Talib, S. M. F. Azam, and J. Tham, “Graduate ‎employability skills, trending avenues and research gaps: a sys-tematic literature review ‎and bibliometric analysis,” Asian Education and Development Studies, vol. 13, no. 4, pp. ‎‎320-339, 2024, https://doi.org/10.1108/AEDS-04-2024-0085.
    30. ‎A. A. Khatibi, F. Azam, and A. K. Alghamati, “A Bibliometric Analysis and Mapping ‎Study of Risk Management in Islamic Financial Institutions,” Journal of Islamic ‎Monetary Economics and Finance, vol. 10, no. 4, 2024, https://doi.org/10.21098/jimf.v10i4.2270.
    31. A. Ahmi. “bibliomagika.” https://aidi-ahmi.com/index.php/bibliomagika (accessed 21.04, ‎‎2025).‎
    32. ‎K. Abdulrahman Albinali, N. A. Iahad, and A. Fadhil Yusof, “Examining the Expansion ‎and Collaborative Patterns of Artificial Intelligence in Education: A Bibliometric Study,” ‎International Journal of Computing and Digital Systems, vol. 15, no. 1, pp. 1823-1837, ‎‎2024, https://doi.org/10.12785/ijcds/1501128.
    33. J. Radianti, T. A. Majchrzak, J. Fromm, and I. Wohlgenannt, “A systematic review of ‎immersive virtual reality applications for higher education: Design elements, lessons ‎learned, and research agenda,” Computers & Education, vol. 147, 2020, https://doi.org/10.1016/j.compedu.2019.103778.
    34. ‎Z. Merchant, E. T. Goetz, L. Cifuentes, W. Keeney-Kennicutt, and T. J. Davis, ‎‎“Effectiveness of virtual reality-based instruction on students’ learning outcomes in K-12 ‎and higher education: A meta-analysis,” Computers & Education, vol. 70, pp. 29-40, ‎‎2014, https://doi.org/10.1016/j.compedu.2013.07.033.
    35. ‎“Editorial,” Production Planning & Control, vol. 12, no. 4, pp. 315-315, 2010, https://doi.org/10.1080/713842140.

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  • How to Cite

    Abulcassim , A. ., Md Johar , M. G. ., & Khatibi, A. . (2025). The Computer Science VR Revolution (2000-2025): Virtual ‎Reality Is Rewriting The Rules of Computer Science ‎Education. International Journal of Basic and Applied Sciences, 14(5), 417-426. https://doi.org/10.14419/89eysc40