Presence, Cognitive Load, and Learning in Extended Reality: A Thematic Analytical Review
DOI:
https://doi.org/10.65166/ss92y378Keywords:
extended reality, presence, cognitive load theory; , immersive learning, instructional design, learning outcomesAbstract
Extended reality (XR) is increasingly used in education and training, yet claims that greater immersion necessarily improves learning remain theoretically and empirically unsettled. This thematic analytical review examines how presence, cognitive load, and learning outcomes are conceptualized, measured, and related across virtual, augmented, and mixed reality research. English-language literature published from 1990 to 2026 was identified through Scopus, Web of Science, IEEE Xplore, PsycINFO, and the ACM Digital Library, supplemented by backward and forward citation tracking. The literature was synthesized across five themes: presence conceptualization and measurement; cognitive load in XR; empirical relationships among presence, load, and learning; the immersion assumption; and moderating effects of task, learner, and instructional design characteristics. The evidence does not support a uniform relationship between technological immersion, presence, and learning. Presence appears most educationally useful when it is task-congruent, particularly in spatial, procedural, and experiential learning, and when usability, guidance, cueing, and segmentation limit extraneous processing. Conversely, complex interfaces, irrelevant realism, unguided exploration, and poor alignment between XR affordances and learning objectives may increase cognitive burden and weaken learning outcomes. Measurement inconsistency and the frequent conflation of immersion with presence continue to limit cumulative inference. The review proposes a contingent framework in which XR effectiveness depends on task–affordance alignment, learner characteristics, and instructional design rather than immersion alone. These findings support more selective, evidence-based XR adoption and more rigorous, multidimensional evaluation of presence, cognitive load, retention, and transfer.
Downloads
References
Ahmed, N., Wu, P., Huang, K., Jung, S., Rheem, H., Tan, G., Imani, M., & Islam, R. (2025). Human task performance and associated internal states in extended reality: A systematic review of cognitive, psychophysiological, and physiological dimensions. Frontiers in Virtual Reality, 6, Article 1589256. https://doi.org/10.3389/frvir.2025.1589256
Albus, P., & Seufert, T. (2022). Signaling in 360° desktop virtual reality influences learning outcome and cognitive load. Frontiers in Education, 7, Article 916105. https://doi.org/10.3389/feduc.2022.916105
Andersen, M. S., & Makransky, G. (2021). The validation and further development of the Multidimensional Cognitive Load Scale for physical and online lectures (MCLS-POL). Frontiers in Psychology, 12, Article 642084. https://doi.org/10.3389/fpsyg.2021.642084
Baceviciute, S., Lucas, G., Terkildsen, T., & Makransky, G. (2021). Investigating the redundancy principle in immersive virtual reality environments: An eye-tracking and EEG study. Journal of Computer Assisted Learning, 38(1), https://doi.org/10.1111/jcal.12595
Bailey, S.K.T., Johnson, C.I., Sims, V.K. (2019). Using Natural Gesture Interactions Leads to Higher Usability and Presence in a Computer Lesson. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 826. Springer, Cham. https://doi.org/10.1007/978-3-319-96065-4_70
Berkman, M. İ., & Çatak, G. (2021). Igroup Presence Questionnaire: Psychometrically revised English version. Muğla Journal of Science and Technology, 7. https://doi.org/10.22531/muglajsci.882271
Brachten, F., Brünker, F., Frick, N., Roß, B., & Stieglitz, S. (2020). On the ability of virtual agents to decrease cognitive load: An experimental study. Information Systems and E-Business Management, 18(2). https://doi.org/10.1007/s10257-020-00471-7
Breves, P., & Stein, J. (2022). Cognitive load in immersive media settings: The role of spatial presence and cybersickness. Virtual Reality, 27(2). https://doi.org/10.1007/s10055-022-00697-5
Brucker, B., Pardi, G., Uehlin, F., Moosmann, L., Lachmair, M., Halfmann, M., & Gerjets, P. (2024). How learners’ visuospatial ability and different ways of changing the perspective influence learning about movements in desktop and immersive virtual reality environments. Educational Psychology Review, 36(3). https://doi.org/10.1007/s10648-024-09895-w
Chandio, Y., Bashir, N., Interrante, V., & Anwar, F. M. (2023). Investigating the correlation between presence and reaction time in mixed reality. IEEE Transactions on Visualization and Computer Graphics, 30(9). https://doi.org/10.1109/TVCG.2023.3319563
Chandio, Y., Interrante, V., & Anwar, F. M. (2024). Tap into reality: Understanding the impact of interactions on presence and reaction time in mixed reality. arXiv. https://doi.org/10.48550/arXiv.2411.05272
Conrad, M., Kablitz, D., & Schumann, S. (2024). Learning effectiveness of immersive virtual reality in education and training: A systematic review of findings. Computers & Education: X Reality, 4, Article 100053. https://doi.org/10.1016/j.cexr.2024.100053
Crogman, H. T., Cano, V. D., Pacheco, E., Sonawane, R., & Boroon, R. (2025). Virtual reality, augmented reality, and mixed reality in experiential learning: Transforming educational paradigms. Education Sciences, 15(3), Article 303. https://doi.org/10.3390/educsci15030303
Ferguson, C., & van Oostendorp, H. (2020). Lost in learning: Hypertext navigational efficiency measures are valid for predicting learning in virtual reality educational games. Frontiers in Psychology, 11, Article 578154. https://doi.org/10.3389/fpsyg.2020.578154
Grassini, S., & Laumann, K. (2020). Questionnaire measures and physiological correlates of presence: A systematic review. Frontiers in Psychology, 11, Article 349. https://doi.org/10.3389/fpsyg.2020.00349
Hamilton, D. E., McKechnie, J., Edgerton, E., & Wilson, C. (2020). Immersive virtual reality as a pedagogical tool in education: A systematic literature review of quantitative learning outcomes and experimental design. Journal of Computers in Education, 8(1). https://doi.org/10.1007/s40692-020-00169-2
Han, J., Liu, G., & Zheng, Q. (2023). Prior knowledge as a moderator between signaling and learning performance in immersive virtual reality laboratories. Frontiers in Psychology, 14, Article 1118174. https://doi.org/10.3389/fpsyg.2023.1118174
Johnsdorf, M., Pham, K. A., Schmidt, T., Truong, V. L., Wohnig, A., Kisker, J., Gruber, T., & Schöne, B. (2023). New is not always better: Virtual reality does not necessarily enhance mnemonic processing. Frontiers in Psychology, 14, Article 1089725. https://doi.org/10.3389/fpsyg.2023.1089725
Johnson, C. I., Bailey, S. K. T., Schroeder, B. L., & Marraffino, M. D. (2022). Procedural learning in virtual reality: The role of immersion, interactivity, and spatial ability. Technology, Mind, and Behavior, 3(4). https://doi.org/10.1037/tmb0000087
Johnson-Glenberg, M. C. (2018). Immersive VR and education: Embodied design principles that include gesture and hand controls. Frontiers in Robotics and AI, 5, Article 81. https://doi.org/10.3389/frobt.2018.00081
Kelly, N. J., Hallam, J., & Bignell, S. (2022). Using interpretative phenomenological analysis to gain a qualitative understanding of presence in virtual reality. Virtual Reality, 27(2). https://doi.org/10.1007/s10055-022-00719-2
Kenneally, C. D., Bentley, B., & Willison, J. (2026). Cognitive load, extended reality, and visuospatial abilities in physical science education: A systematic review. Frontiers in Psychology, 17, Article 1767304. https://doi.org/10.3389/fpsyg.2026.1767304
Kerrebroeck, B. V., Caruso, G., & Maes, P. (2021). A methodological framework for assessing social presence in music interactions in virtual reality. Frontiers in Psychology, 12, Article 663725. https://doi.org/10.3389/fpsyg.2021.663725
Khenak, N., Vézien, J.-M., Théry, D., & Bourdot, P. (2018). Spatial presence in real and remote immersive environments and the effect of multisensory stimulation. Presence: Virtual and Augmented Reality, 27(3). https://doi.org/10.1162/pres_a_00332
Khenak, N., Vézien, J.-M., & Bourdot, P. (2020). Spatial presence, performance, and behavior between real, remote, and virtual immersive environments. IEEE Transactions on Visualization and Computer Graphics, 26(12). https://doi.org/10.1109/TVCG.2020.3023574
Kosel, C., Michel, S., Seidel, T., & Foerster, M. (2024). Exploring the dynamic interplay of cognitive load and emotional arousal by using multimodal measurements: Correlation of pupil diameter and emotional arousal in emotionally engaging tasks. arXiv. https://doi.org/10.48550/arXiv.2403.00366
Krieglstein, F., Beege, M., Rey, G. D., Sanchez-Stockhammer, C., & Schneider, S. (2023). Development and validation of a theory-based questionnaire to measure different types of cognitive load. Educational Psychology Review, 35(1). https://doi.org/10.1007/s10648-023-09738-0
Lawson, A. P., Martella, A. M., LaBonte, K., Delgado, C. Y., Zhao, F., Gluck, J. A., Munns, M. E., Leroy, A., & Mayer, R. E. (2024). Confounded or controlled? A systematic review of media comparison studies involving immersive virtual reality for STEM education. Educational Psychology Review, 36(3). https://doi.org/10.1007/s10648-024-09908-8
Lin, Y., & Suh, A. (2021). The role of spatial ability in learning with virtual reality: A literature review. Proceedings of the Annual Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2021.011
Makransky, G., & Mayer, R. E. (2022). Benefits of taking a virtual field trip in immersive virtual reality: Evidence for the immersion principle in multimedia learning. Educational Psychology Review, 34(3). https://doi.org/10.1007/s10648-022-09675-4
Makransky, G., & Petersen, G. B. (2021). The Cognitive Affective Model of Immersive Learning (CAMIL): A theoretical research-based model of learning in immersive virtual reality. Educational Psychology Review, 33(3). https://doi.org/10.1007/s10648-020-09586-2
Maneuvrier, A., Decker, L. M., Ceyte, H., Fleury, P., & Renaud, P. (2020). Presence promotes performance on a virtual spatial cognition task: Impact of human factors on virtual reality assessment. Frontiers in Virtual Reality, 1, Article 571713. https://doi.org/10.3389/frvir.2020.571713
Martinez, M., Arbelaez Garces, G., Dupont, L., Hily, A., Camargo, M., Jacob, C., & Dinet, J. (2020, April). Physiological assessment of user experience supported by immersive environments: First input from a literature review. In ConVRgence (VRIC) Virtual Reality International Conference (pp. 89–108). Laval Virtual. https://hal.science/hal-02551341
Mayer, R. E., & Bailenson, J. N. (2024). Advances in research on learning in immersive virtual reality. Technology, Mind, and Behavior, 5(4). https://doi.org/10.1037/tmb0000146
Mulders, M. (2023). Confounding in educational research: An overview of research approaches investigating virtual and augmented reality. Digital Psychology, 4. https://doi.org/10.24989/dp.v4i1s.2227
Mulders, M., Buchner, J., & Kerres, M. (2020). A framework for the use of immersive virtual reality in learning environments. International Journal of Emerging Technologies in Learning, 15(24). https://doi.org/10.3991/ijet.v15i24.16615
Ochs, C., & Sonderegger, A. (2022). The interplay between presence and learning. Frontiers in Virtual Reality, 3, Article 742509. https://doi.org/10.3389/frvir.2022.742509
Pedram, S., Kennedy, G., & Sanzone, S. (2024). Assessing the validity of VR as a training tool for medical students. Virtual Reality, 28(1). https://doi.org/10.1007/s10055-023-00912-x
Pietschmann, L., Zuercher, P.-D., Bubík, E., Chen, Z., Pfister, H., & Bohné, T. (2023). Quantifying the impact of XR visual guidance on user performance using a large-scale virtual assembly experiment. arXiv. https://doi.org/10.48550/arXiv.2308.03390
Poupard, M., Larrue, F., Sauzeon, H., & Tricot, A. (2024). A systematic review of immersive technologies for education: Learning performance, cognitive load, and intrinsic motivation. British Journal of Educational Technology, 56(1). https://doi.org/10.1111/bjet.13503
Schuemie, M. J., van der Straaten, P., Krijn, M., & van der Mast, C. A. P. G. (2001). Research on presence in virtual reality: A survey. CyberPsychology & Behavior, 4(2). https://doi.org/10.1089/109493101300117884
Schwarze, A., Kampling, H., Heger, O., & Niehaves, B. (2019). Is virtual reality the future of learning? A critical reflection. Proceedings of the Annual Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.214
Skulmowski, A., & Xu, K. M. (2021). Understanding cognitive load in digital and online learning: A new perspective on extraneous cognitive load. Educational Psychology Review, 34(1). https://doi.org/10.1007/s10648-021-09624-7
Slater, M. (1999). Measuring presence: A response to the Witmer and Singer Presence Questionnaire. Presence: Teleoperators and Virtual Environments, 8(5). https://doi.org/10.1162/105474699566477
Srivastava, P., Rimzhim, A., Vijay, P., Singh, S., & Chandra, S. (2019). Desktop VR is better than non-ambulatory HMD VR for spatial learning. Frontiers in Robotics and AI, 6, Article 50. https://doi.org/10.3389/frobt.2019.00050
Thorp, S., Rimol, L. M., Lervik, S., Evensmoen, H. R., & Grassini, S. (2024). Comparative analysis of spatial ability in immersive and non-immersive virtual reality: The role of sense of presence, simulation sickness, and cognitive load. Frontiers in Virtual Reality, 5, Article 1343872. https://doi.org/10.3389/frvir.2024.1343872
Tusher, H. M., Mallam, S., & Nazir, S. (2024). A systematic review of virtual reality features for skill training. Technology, Knowledge and Learning, 29(2). https://doi.org/10.1007/s10758-023-09713-2
Vidal-Balea, A., Fraga-Lamas, P., & Fernández-Caramés, T. M. (2024). Advancing NASA-TLX: Automatic user interaction analysis for workload evaluation in XR scenarios. In 2024 IEEE Conference on Games. https://doi.org/10.1109/GEM61861.2024.10585425
Weech, S., Kenny, S., & Barnett-Cowan, M. (2019). Presence and cybersickness in virtual reality are negatively related: A review. Frontiers in Psychology, 10, Article 158. https://doi.org/10.3389/fpsyg.2019.00158
Weerasinghe, M., Quigley, A., Pucihar, K. Č., Toniolo, A., Miguel, A., & Kljun, M. (2022). Arigatō: Effects of adaptive guidance on engagement and performance in augmented reality learning environments. IEEE Transactions on Visualization and Computer Graphics, 28(11). https://doi.org/10.1109/TVCG.2022.3203088
Yu, N., Shi, W., Dong, W., & Kang, R. (2025). The impact of virtual reality immersion on learning outcomes: A comparative study of declarative and procedural knowledge acquisition. Behavioral Sciences, 15(10), Article 1322. https://doi.org/10.3390/bs15101322
Zou, L., Zhang, Z., Mavilidi, M. F., Chen, Y., Herold, F., Ouwehand, K., & Paas, F. (2025). The synergy of embodied cognition and cognitive load theory for optimized learning. Nature Human Behaviour, 9(5). https://doi.org/10.1038/s41562-025-02152-2
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Dr. Ramon George Atento, Dr. Leah F. Quinto, Andrea Gwyneth Atento, Victor Jolo Maranan, Charmaine O. Castaneda, MS Biology (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors retain copyright of their articles but grant the International Journal of Health & Business Analytics (IJHBA) the right of first publication.