Student Perceptions of an AI-Enhanced Virtual Reality University Office Environment: An Observation-Based Empirical Study

  • Amra Abazi Feta International Balkan University, Faculty of Engineering, Department of Computer Engineering, Skopje, North Macedonia
  • Hiqmet Kamberaj International Balkan University, Faculty of Engineering, Department of Computer Engineering, Skopje, North Macedonia
Keywords: Virtual Reality, Artificial Intelligence, University Office, Metaverse Education, Student Perceptions, Technology Acceptance, AI-VR Integration, Presence, Adoption Intent

Abstract

There is a growing trend of merging artificial intelligence (AI) with virtual reality (VR) in higher education, and there is a lack of research on students' perceptions of an AI-enhanced VR office environment. This study employed a mixed-methods approach. Here, 58 students participated in a pre-session questionnaire concerning their exposure to technologies. Furthermore, 29 students observed a live demonstration of an AI-integrated VR university office and completed a post-session questionnaire. The post-session survey was designed to measure five constructs (observation quality, presence and realism, AI feature perception, usability and adoption intent, and future readiness). We used items adapted from well-established technology-acceptance and presence scales (the Technology Acceptance Model and its VR-specific extensions, and the Witmer & Singer presence questionnaire), which exhibit good internal consistency with Cronbach’s alpha values ranging from 0.86 to 0.97 for each cluster. There was a significant difference between the level of technology familiarity with the participants, in that they were more likely to be using AI tools extensively (M = 4.26/5) than they were to use VR (M = 1.88/5). High accuracy of perceived AI (M = 4.48/5) and clarity of observation (M = 4.39/5), but more moderate ratings of comfort in relying on AI (M = 3.83/5) and privacy concerns (M = 3.24/5) were noted after the session, indicating a competence-trust gap. AI was seen as a helpful administrative tool, and there were some concerns about data privacy and dependency, with a general trend of conditional implementation of AI. These results are preliminary, as they are observation-based, single-institution, and come from a relatively small sample size after the sessions, but they do provide some early, concrete insights regarding the design of VR spaces that incorporate AI technology in higher education.

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References

Ali, I., Warraich, N. F., & Butt, K. (2025). Acceptance and use of artificial intelligence and AI-based applications in education: A meta-analysis and future direction. Information Development, 41(3), 859–874. https://doi.org/10.1177/02666669241257206 DOI: https://doi.org/10.1177/02666669241257206

Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa DOI: https://doi.org/10.1191/1478088706qp063oa

Chen, Y., Chen, Z., Zhang, K., Chen, J., Lin, K., & Chen, Z. (2026). Toward sustainable education: exploring Chinese college students’ acceptance of AI- and VR-integrated smart classroom. Education and Information Technologies. https://doi.org/10.1007/s10639-026-13984-4 DOI: https://doi.org/10.1007/s10639-026-13984-4

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008

Deeks, H. M., Walters, R. K., Hare, S. R., O’Connor, M. B., Mulholland, A. J., & Glowacki, D. R. (2020). Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking. PLOS ONE, 15(3), e0228461. https://doi.org/10.1371/journal.pone.0228461 DOI: https://doi.org/10.1371/journal.pone.0228461

Feta, A. A., & Kamberaj, H. (2025). Impact of Metaverse Technologies Integration on Biotechnological Innovation: A Literature Review. European Scientific Journal, ESJ, 21(21), 1. https://doi.org/10.19044/esj.2025.v21n21p1 DOI: https://doi.org/10.19044/esj.2025.v21n21p1

Kaddoura, S., & Al Husseiny, F. (2023). The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations. PeerJ Computer Science, 9, e1252. https://doi.org/10.7717/peerj-cs.1252 DOI: https://doi.org/10.7717/peerj-cs.1252

Kostick-Quenet, K., & Rahimzadeh, V. (2023). Ethical hazards of health data governance in the metaverse. Nature Machine Intelligence, 5(5), 480–482. https://doi.org/10.1038/s42256-023-00658-w DOI: https://doi.org/10.1038/s42256-023-00658-w

Lee, L.-H., Braud, T., Zhou, P., Wang, L., Xu, D., Lin, Z., Kumar, A., Bermejo, C., & Hui, P. (2021). All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda.

McKinney, W. (2010). Data Structures for Statistical Computing in Python. 56–61. https://doi.org/10.25080/Majora-92bf1922-00a DOI: https://doi.org/10.25080/Majora-92bf1922-00a

Mosharraf, M. (2025). Data governance in metaverse: Addressing security threats and countermeasures across the data lifecycle. Technology in Society, 82, 102910. https://doi.org/10.1016/j.techsoc.2025.102910 DOI: https://doi.org/10.1016/j.techsoc.2025.102910

Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486–497. https://doi.org/10.3390/encyclopedia2010031 DOI: https://doi.org/10.3390/encyclopedia2010031

Petrigna, L., & Musumeci, G. (2022). The Metaverse: A New Challenge for the Healthcare System: A Scoping Review. Journal of Functional Morphology and Kinesiology, 7(3), 63. https://doi.org/10.3390/jfmk7030063 DOI: https://doi.org/10.3390/jfmk7030063

Riva, G., & Wiederhold, B. K. (2022). What the Metaverse Is (Really) and Why We Need to Know About It. Cyberpsychology, Behavior, and Social Networking, 25(6), 355–359. https://doi.org/10.1089/cyber.2022.0124 DOI: https://doi.org/10.1089/cyber.2022.0124

Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., & Vallery, G. (2020). User acceptance of virtual reality: An extended technology acceptance model. International Journal of Human-Computer Interaction, 36(11), 993–1007. https://doi.org/10.1080/10447318.2019.1708612 DOI: https://doi.org/10.1080/10447318.2019.1708612

Slater, M. (2009). Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535), 3549–3557. https://doi.org/10.1098/rstb.2009.0138 DOI: https://doi.org/10.1098/rstb.2009.0138

Sparrow, R., & Flenady, G. (2025). Bullshit universities: the future of automated education. AI & SOCIETY, 40(7), 5285–5296. https://doi.org/10.1007/s00146-025-02340-8 DOI: https://doi.org/10.1007/s00146-025-02340-8

Syed Abdul, S., Upadhyay, U., Salcedo, D., & Lin, C.-W. (2022). Virtual reality enhancing medical education and practice: Brief communication. DIGITAL HEALTH, 8. https://doi.org/10.1177/20552076221143948 DOI: https://doi.org/10.1177/20552076221143948

Taylor, S., & Soneji, S. (2022). Bioinformatics and the Metaverse: Are We Ready? Frontiers in Bioinformatics, 2. https://doi.org/10.3389/fbinf.2022.863676 DOI: https://doi.org/10.3389/fbinf.2022.863676

Witmer, B. G., & Singer, M. J. (1998). Measuring Presence in Virtual Environments: A Presence Questionnaire. Presence: Teleoperators and Virtual Environments, 7(3), 225–240. https://doi.org/10.1162/105474698565686 DOI: https://doi.org/10.1162/105474698565686

Alblooshi, A. S., et al. (2026). The use of the extended reality technologies in simulation-based health professions education: a bibliometric analysis. Frontiers in Medicine, 13, 1787542. https://doi.org/10.3389/fmed.2026.1787542 DOI: https://doi.org/10.3389/fmed.2026.1787542

Bitloft Office. (2026, April 4). Workshop approval for VR university office demonstration study. International Balkan University.

Saren, F., Ghosh, C., Shit, S., & Paul, A. (2026). Metaverse in education: Opportunities, challenges, and future prospects. International Journal of Creative and Open Research in Engineering and Management, 2(4). https://doi.org/10.55041/ijcope.v2i4.168 DOI: https://doi.org/10.55041/ijcope.v2i4.168

Violanti, R. J. (2026, April 22). Humanizing generative AI: Three ways to keep students at the center of your classroom. Faculty Focus.

Wei, Y., Li, Y., Hu, W., Kang, J., Han, Z., Zhen, M., & Wang, C. (2026). Artificial intelligence and immersive digital technologies in periodontal education: a systematic review. Frontiers in Oral Health, 7, 1741033. https://doi.org/10.3389/froh.2026.1741033 DOI: https://doi.org/10.3389/froh.2026.1741033

Published
2026-08-31
How to Cite
Abazi Feta, A., & Kamberaj, H. (2026). Student Perceptions of an AI-Enhanced Virtual Reality University Office Environment: An Observation-Based Empirical Study. European Scientific Journal, ESJ, 22(24), 16. https://doi.org/10.19044/esj.2026.v22n24p16
Section
ESJ Natural/Life/Medical Sciences