Emerging Trends in Virtual Simulation for Education: A Systematic Review of Technology–Pedagogy Alignment
DOI:
https://doi.org/10.46328/ijtes.6779Keywords:
Virtual Simulation, Educational Technologies, Instructional DesignAbstract
Virtual simulation has become a transformative approach in education, particularly in contexts that require practical, skill-oriented learning. This systematic review examines emerging trends in virtual simulation for education by synthesizing evidence on educational technologies and instructional design approaches applied in virtual laboratory environments. Guided by the PRISMA protocol and the PSALSAR framework, 20 peer-reviewed journal articles published between 2020 and 2024 were systematically selected and analyzed. The results indicate a growing emphasis on virtual laboratories and immersive technologies, especially virtual and augmented reality, to support hands-on learning across science, engineering, medical, and vocational education. These technologies are predominantly implemented through learner-centered instructional designs, including experiential, inquiry-based, and constructivist approaches, which facilitate active engagement, repeated practice, and meaningful knowledge construction. While immersive and simulation-based technologies dominate current implementations, the integration of AI-supported and analytics-driven systems remains limited, suggesting an emerging area for future development. This review contributes a synthesized conceptual framework that illustrates how virtual simulation technologies are pedagogically operationalized through instructional design themes to produce meaningful learning outcomes. By integrating technological and pedagogical perspectives, the findings provide a structured foundation to inform evidence-based instructional design, implementation, and future research on virtual simulation–based education.
References
Aldosari, S. S., Ghita, B., & Marocco, D. (2022). A gesture-based educational system that integrates simulation and molecular visualization to teach chemistry. International Journal of Emerging Technologies in Learning (iJET), 17(4), 194–211. https://doi.org/10.3991/ijet.v17i04.26503
Alharbi, A. (2022). Re-imagining computer laboratories for teaching introductory programming concepts using web-based integrated development environments: Opportunities and challenges. In Proceedings of the 4th World Symposium on Software Engineering (pp. 67–74). Association for Computing Machinery. https://doi.org/10.1145/3568364.3568375
Anderson, J. R., & Kim, S. (2023). Virtual simulation effectiveness in higher education: A comparative study. Journal of Educational Technology, 45(3), 178–195.
Aridan, N., Bernstein-Eliav, M., Gamzo, D., Schmeidler, M., Tik, N., & Tavor, I. (2024). Neuroanatomy in virtual reality: Development and pedagogical evaluation of photogrammetry-based 3D brain models. Anatomical Sciences Education, 17, 239–248. https://doi.org/10.1002/ase.2359
Barrow, J., Hurst, W., Edman, J., et al. (2024). Virtual reality for biochemistry education: The cellular factory. Education and Information Technologies, 29, 1647–1672. https://doi.org/10.1007/s10639-023-11826-1
Brown, M., & Johnson, P. (2024). Next-generation virtual simulation technologies: Opportunities and challenges. International Journal of Educational Technology, 12(1), 45–62.
Bunse, C., Kennes, L., & Kuhr, J.-C. (2023). On using distance labs for engineering education. In Proceedings of the 4th International Workshop on Software Engineering Education for the Next Generation (pp. 5–11). Association for Computing Machinery. https://doi.org/10.1145/3528231.3528355
Byukusenge, C., Nsanganwimana, F., & Tarmo, A. P. (2023). Enhancing students’ understanding of nerve cells’ structures and their symbiotic functioning by using technology-enhanced instruction incorporating virtual labs and animations. Journal of Science Education and Technology, 32, 13–25. https://doi.org/10.1007/s10956-022-10002-3
Chen, Y., Wang, L., & Smith, K. (2023). Designing effective virtual learning environments: A framework for success. Educational Design Research, 8(2), 112–131.
Corbi, A., Burgos, D., Vidal, F., Albiol, F., & Albiol, A. (2020). X-ray imaging virtual online laboratory for engineering undergraduates. European Journal of Physics, 41(1), 014001. https://doi.org/10.1088/1361-6404/ab5011
Davidson, R., & Roberts, M. (2024). Advances in virtual reality sensors and wearables for education. Technology, Knowledge and Learning, 29(1), 67–85.
Huang, G., Zhang, H., Yi, X., & Gao, Y. (2024). Research on the development and application of UE4-based “human organ roaming” junior high school biology teaching resources. In Proceedings of the 9th International Conference on Information and Education Innovations (pp. 7–13). Association for Computing Machinery. https://doi.org/10.1145/3664934.3664952
Jeyarajaguru, K. S. (2023). Effective creation and usage of simplified virtual curation lab using Google Sites: Implementation for principles of biochemistry laboratory course. The Journal of Educators Online.
Johnson, M. R., Smith, K. L., & Brown, A. D. (2023). Virtual simulation in education: Current trends and future perspectives. Educational Technology Research and Development, 71(2), 245–267.
Karara, A. H., Nan, A., Goldberg, B., & Shukla, R. (2021). Use of science lab simulation during a two-week virtual biomedical research training summer camp for underserved minority youth: A COVID-19 adjustment. Journal of STEM Outreach, 4(2). https://doi.org/10.15695/jstem/v4i2.06
Kim, S., & Park, J. (2024). Advances in virtual and augmented reality for educational simulations. Journal of Educational Computing Research, 59(1), 78–96.
Kulkarni, R., & Harne, R. (2024). Adoption and usage of augmented reality-based virtual laboratories tool for engineering studies. Journal of Information Technology Education: Innovations in Practice, 23, Article 010.
Lee, J., Park, S., & Kim, H. (2024). Effectiveness of virtual simulation in skills development: A meta-analysis. Educational Research Review, 31, 100411.
Mariscal, G., Jiménez, E., Vivas-Urias, M. D., Redondo-Duarte, S., & Moreno-Pérez, S. (2020). Virtual reality simulation-based learning. Education in the Knowledge Society, 21, Article 15. https://doi.org/10.14201/eks.23004
Martinez, A., Garcia, C., & Lopez, R. (2024). AI-enhanced virtual learning environments: Current developments and future directions. Smart Learning Environments, 11(2), 23–42.
Martinez-Rodriguez, A. (2023). The impact of virtual simulation technologies on learning outcomes: A meta-analysis. Computers & Education, 185, 104529.
Padios, A. C., Jr., & Tobia, M. V., Jr. (2023). Long distance lab affairs: Physics achievement and metacognition effects of distance laboratories in a senior high school in the Philippines. Turkish Online Journal of Distance Education, 24(2), 32–46. https://doi.org/10.17718/tojde.1086870
Papadimitropoulos, N., Dalacosta, K., & Pavlatou, E. A. (2021). Teaching chemistry with Arduino experiments in a mixed virtual–physical learning environment. Journal of Science Education and Technology, 30, 550–566. https://doi.org/10.1007/s10956-020-09899-5
Peterson, T., & Zhang, Y. (2024). Implementation challenges of virtual simulation in education: A systematic review. Journal of Computer Assisted Learning, 40(1), 89–106.
Rodriguez-Martinez, E. (2024). Pedagogical considerations in virtual simulation design. Teaching and Teacher Education, 116, 103683.
Santyadiputra, G. S., Purnomo, W., Kamdi, W., Patmanthara, S., & Nurhadi, D. (2024). Vilanets: An advanced virtual learning environment to improve higher education students’ learning achievement in computer network courses. Cogent Education, 11(1), 2393530. https://doi.org/10.1080/2331186X.2024.2393530
Serrano-Ausejo, E., & Mårell-Olsson, E. (2024). Opportunities and challenges of using immersive technologies to support students’ spatial ability and 21st-century skills in K–12 education. Education and Information Technologies, 29, 5571–5597. https://doi.org/10.1007/s10639-023-11981-5
Thompson, R., Davis, K., & Miller, J. (2023). The evolution of virtual simulation in education: A historical perspective. Educational Technology Research and Development, 71(4), 567–589.
Villanueva, A., Zhu, Z., Liu, Z., Wang, F., Chidambaram, S., & Ramani, K. (2022). ColabAR: A toolkit for remote collaboration in tangible augmented reality laboratories. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), Article 81, 1–22. https://doi.org/10.1145/3512928
Wang, X., & Liu, Y. (2024). Real-time processing and AI integration in educational simulations. Computers & Education, 182, 104512.
Wilson, M., Taylor, J., & Brown, K. (2023). Addressing diversity in virtual learning environment design. International Journal of Inclusive Education, 27(3), 234–251.
Yildirim, F. S. (2021). The effect of virtual laboratory applications on 8th grade students’ achievement in science lesson. Journal of Education in Science, Environment and Health (JESEH), 7(2), 171–181. https://doi.org/10.21891/jeseh.837243
Yu, Y., Ge, Z., Zhang, H., Chen, F., Qi, H., Li, R., & Ren, S. (2024). A white wine fermentation experiment based on VR virtual simulation. In Proceedings of the 4th International Conference on Machine Learning and Computer Application (pp. 986–990). Association for Computing Machinery. https://doi.org/10.1145/3650215.3650390
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Journal of Technology in Education and Science

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

