Integration of Augmented and Virtual Reality Technologies with Adaptive Learning Systems: Analysis of Conceptual Models
DOI:
https://doi.org/10.28925/2312-5829.2023.44Keywords:
augmented reality, adaptive learning, conceptual models, higher education, learning systems, user profile, user interaction, virtual realityAbstract
Augmented reality (AR) and virtual reality (VR) are increasingly utilized in education to provide interactive and engaging learning experiences. However, most applications do not fully exploit the potential of AR/VR technologies for adaptive and personalized learning. This paper analyzes five recent conceptual models that integrate adaptive techniques into AR/VR educational systems to identify their core components and capabilities.
All reviewed models incorporate a user profile, content repository, interaction data, environment representation, and device components. Detailed user information is collected, including demographics, knowledge levels, cognitive characteristics, sensory-motor abilities, and emotional-motivational factors. This enables adapting AR/VR content to individual learners' needs, styles, and states.
Two key adaptation-influencing components were identified across the models - the environment and the user adaptation mechanism based on the user model. Additional components depend on the service level and specifics of the device. For mobile applications, cloud computing enables optimal processing of objects, location, and human data.
The analysis determined these models provide a strong conceptual basis for adaptive AR/VR learning systems. However, further research is needed to develop a universal framework considering domain specifics. An ontological approach should be employed to allow customization for particular educational contexts. This could significantly enhance the state of adaptive AR/VR learning systems.
Existing conceptual models incorporate promising techniques but lack holistic frameworks tailored to educational domains. Developing such frameworks is essential to advance research and practice in adaptive AR/VR learning. The analysis and findings presented provide a foundation to guide future efforts in designing and evaluating adaptive AR/VR educational systems.
Downloads
References
Salar, R., Arici, F., Caliklar, S., & Yilmaz, R. M. (2020). A model for augmented reality immersion experiences of university students studying in science education. Journal of Science Education and Technology, 29(2), 257–271. https://doi.org/10.1007/s10956-019-09810-x.
Abidin, R. Z., Arshad, H., & Shukri, S. A. A. (2017). Adaptive multimodal interaction in mobile augmented reality: A conceptual framework. У The 2nd international conference on applied science and technology 2017 (icast’17). Author(s). https://doi.org/10.1063/1.5005483.
Hervás R, Bravo J, Fontecha J, Villarreal V (2013) Achieving Adaptive Augmented Reality through Ontological Context-Awareness applied to AAL Scenarios. JUCS - Journal of Universal Computer Science 19(9): 1334-1349. https://doi.org/10.3217/jucs-019-09-1334.
Tenemaza, M., de Antonio, A., Ramírez, J., Vela, A., & Rosero, D. (2016). Adaptive augmented reality in mobile applications for helping people with mild intellectual disability in ecuador. У 12th international conference on web information systems and technologies. SCITEPRESS - Science and and Technology Publications. https://doi.org/10.5220/0005862203170324.
Arulanand, N., Babu, A. R., & Rajesh, P. K. (2020). Enriched learning experience using augmented reality framework in engineering education. Procedia Computer Science, 172, 937–942. https://doi.org/10.1016/j.procs.2020.05.135.
Tang, K. S., Cheng, D. L., Mi, E., & Greenberg, P. B. (2019). Augmented reality in medical education: A systematic review. Canadian Medical Education Journal. https://doi.org/10.36834/cmej.61705.
Syrovatskyi, O. V., Semerikov, S. O., Modlo, Y. O., Yechkalo, Y. V., & Zelinska, S. O. (2018). Augmented reality software design for educational purposes. [b. v.]. https://doi.org/10.31812/123456789/2895.
Bainbridge, W. S., & Roco, M. C. (2016). Science and technology convergence: With emphasis for nanotechnology-inspired convergence. Journal of Nanoparticle Research, 18(7). https://doi.org/10.1007/s11051-016-3520-0.
By Jaco Du Preez and Saurabh Sinha. (2020). Higher education leadership in the era of the fourth industrial revolution. The Thinker, 83(1). https://doi.org/10.36615/thethinker.v83i1.221.
Chauhan, J., Taneja, S., & Goel, A. (2015). Enhancing MOOC with augmented reality, adaptive learning and gamification. U 2015 IEEE 3rd international conference on moocs, innovation and technology in education (MITE). IEEE. https://doi.org/10.1109/mite.2015.7375343.
Chlebusch, J., Köhler, I., & Stechert, C. (2020). Reasonable application of augmented reality in engineering education. Proceedings of the Design Society: DESIGN Conference, 1, 1677–1686. https://doi.org/10.1017/dsd.2020.62.
Osadchyi, V. V., Chemerys, H. Y., Osadcha, K. P., Kruhlyk, V. S., Koniukhov, S. L., & Kiv, A. E. (2020). Conceptual model of learning based on the combined capabilities of augmented and virtual reality technologies with adaptive learning systems. [b. v.]. https://doi.org/10.31812/123456789/4417.
Osadchyi, V. V., Chemerys, H. Y., Osadcha, K. P., Kruhlyk, V. S., Koniukhov, S. L., & Kiv, A. E. (2020). Conceptual model of learning based on the combined capabilities of augmented and virtual reality technologies with adaptive learning systems. [б. в.]. https://doi.org/10.31812/123456789/4417.
Damala, A., & Stojanovic, N. (2012). Tailoring the adaptive augmented reality (a2r) museum visit: Identifying cultural heritage professionals' motivations and needs. U 2012 IEEE international symposium on mixed and augmented reality - arts, media, and humanities (ISMAR-AMH). IEEE. https://doi.org/10.1109/ismar-amh.2012.6483992.
Elmqaddem, N. (2019). Augmented reality and virtual reality in education. myth or reality? International Journal of Emerging Technologies in Learning (Ijet), 14(03), 234. https://doi.org/10.3991/ijet.v14i03.9289.
Markova, O., Semerikov, S., & Popel, M. (2018). Socalc as a learning tool for neural network simulation in the special course “foundations of mathematic informatics”. Information Technologies in Education, 3(36), 58–70. https://doi.org/10.14308/ite000674.
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 (Ijet), 15(24), 208. https://doi.org/10.3991/ijet.v15i24.16615.
Saif, A. F. M. S., Prabuwono, A. S., & Mahayuddin, Z. R. (2014). Moving object detection using dynamic motion modelling from UAV aerial images. The Scientific World Journal, 2014, 1–12. https://doi.org/10.1155/2014/890619.
Saif, A. F. M. S., Prabuwono, A. S., & Mahayuddin, Z. R. (2013). Real time vision based object detection from UAV aerial images: A conceptual framework. U Intelligent robotics systems: Inspiring the NEXT (s. 265–274). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-40409-2_23.
Tenemaza, M., de Antonio, A., & Ramírez, J. (2015). The user model, vocabulary and logical architecture for adaptive augmented reality. U CLIHC '15: Latin american conference on human computer interaction. ACM. https://doi.org/10.1145/2824893.2824901.
Osadcha, K., Osadchyi, V., Semerikov, S., Chemerys, H., & Chorna, A. (2020). The review of the adaptive learning systems for the formation of individual educational trajectory. [b. v.]. https://doi.org/10.31812/123456789/4130.
Chytas, D., Johnson, E. O., Piagkou, M., Mazarakis, A., Babis, G. C., Chronopoulos, E., Nikolaou, V. S., Lazaridis, N., & Natsis, K. (2020). The role of augmented reality in Anatomical education: An overview. Annals of Anatomy - Anatomischer Anzeiger, 229, 151463. https://doi.org/10.1016/j.aanat.2020.151463.
Goff, E. E., Hartstone-Rose, A., Irvin, M. J., & Mulvey, K. L. (2020). Using augmented reality to promote active learning in college science. U Active learning in college science (s. 741–755). Springer International Publishing. https://doi.org/10.1007/978-3-030-33600-4_46.
Symonenko, S. V., Zaitseva, N. V., Osadchyi, V. V., Osadcha, K. P., & Shmeltser, E. O. (2020). Virtual reality in foreign language training at higher educational institutions. [b. v.]. https://doi.org/10.31812/123456789/3759.
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Educological discourse
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Автори зберігають за собою всі авторські права та одночасно надають журналу право першої публікації на умовах лізенції Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License, що дозволяє розповсюджувати даний матеріал із зазначенням авторства та первинної публікації в даному журналі.
