journal article·2025-10-23Open access

Virtual Classrooms, Real Impact: A Framework for Introducing Virtual Reality to K–12 STEM Learning Based on Best Practices

Tyler Ward, Kouroush Jenab, Jorge Ortega-Moody, Ghazal Barari, Lizeth Del Carmen Molina Acosta

Applied Sciences· Volume 15· Issue 21

Abstract

Virtual reality (VR) has emerged as a promising tool for transforming science, technology, engineering, and mathematics (STEM) education, yet its adoption in K–12 classrooms remains uneven and often limited to short-term pilots. While prior studies highlight VR’s potential to increase engagement and support conceptual understanding, questions persist about scalability, sustainability, and equity in implementation. This paper addresses these gaps by synthesizing recent scholarship and proposing a structured framework of best practices for integrating VR into K–12 STEM education. Drawing on academic literature, U.S. policy reports, and case studies, we identify persistent challenges that include high costs, lack of teacher preparation, infrastructure disparities, and overlooked accessibility concerns. We use these findings to inform a phased implementation roadmap. Our framework emphasizes assessment and planning, technical integration, teacher preparation, student implementation, and iterative evaluation, providing actionable strategies for schools and districts. Results of this synthesis indicate that successful VR adoption requires coordinated attention to pedagogy, funding, professional development, and equity. We conclude that moving VR from isolated novelty projects to sustainable and equitable tools in STEM classrooms depends on aligning technology with curricular goals, investing in teacher pipelines, and embedding VR within long-term evaluation and improvement cycles.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Educational Games and Gamification · Virtual Reality Applications and Impacts · Visual and Cognitive Learning Processes

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Computer Science, University of Kentucky Lexington, Lexington, KY 40506, USA

Department of Engineering Sciences, Morehead State University, Morehead, KY 40351, USA

School of Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA

Universidad del Valle, Cartago 76202, VAC, Colombia

References (66)

Show source-provided references
1. Arora, M. (2024). Virtual reality in education: Analyzing the literature and bibliometric state of knowledge. Transforming Education with Virtual Reality, Scrivener Publishing LLC.10.1002/9781394200498.ch22 ↗
2. Zhu, C., Sam, C.H., Wu, Y., and Tang, Y. (2025). Wip: Enhancing game-based learning with AI-driven peer agents. arXiv.
3. Virtual reality and augmented reality-supported K–12 STEM learning: Trends, advantages and challenges10.1007/s10639-024-13210-z ↗
4. Soltani, N., and Rostami, A. (2025, January 3–6). Immersive learning at scale: Exploring the feasibility of VR in education. Proceedings of the 2025 ACM International Conference on Interactive Media Experiences, Rio de Janeiro, Brazil.10.1145/3706370.3727859 ↗
5. The practicality of virtual reality applications in education: Limitations and recommendations
6. Kaur, S., Rajvanshi, S., and Kaur, G. (2024). Privacy and security concerns with augmented reality/virtual reality: A systematic review. Augmented Reality and Virtual Reality in Special Education, Wiley Online Library.10.1002/9781394167586.ch10 ↗
7. Marougkas, A., Troussas, C., Krouska, A., and Sgouropoulou, C. (2023). Virtual reality in education: A review of learning theories, approaches and methodologies for the last decade. Electronics, 12.10.3390/electronics12132832 ↗
8. Silva-Díaz, F., Marfil-Carmona, R., Narváez, R., Silva Fuentes, A., and Carrillo-Rosúa, J. (2023). Introducing virtual reality and emerging technologies in a teacher training STEM course. Educ. Sci., 13.10.3390/educsci13101044 ↗
9. Darvishinia, N., and Goodson, T. (2025, January 17–21). Enhancing educator engagement and practical impact through VR training in K–12 STEM education. Proceedings of the Society for Information Technology & Teacher Education International Conference, Orlando, FL, USA.
10. Virtual reality platforms for K–12 STEM education10.5267/j.msl.2024.9.001 ↗
11. Learn math through motion: A technology-enhanced embodied approach with augmented reality for geometry learning in K–12 classrooms10.1080/10494820.2025.2450663 ↗
12. Enhancing geoscience education through immersive virtual field trips: Student perspectives and implications for broadening participation10.1080/10899995.2025.2537995 ↗
13. Designing for real-world scientific inquiry in virtual environments10.1080/00131881.2010.482741 ↗
14. Influence of specific AR capabilities on the learning effectiveness and efficiency10.24846/v21i3y201201 ↗
15. Integrating augmented reality technology to enhance children’s learning in marine education10.1080/13504622.2014.911247 ↗
16. Teaching based on augmented reality for a technical creative design course10.1016/j.compedu.2014.10.017 ↗
17. Trends and research issues of mobile learning studies in nursing education: A review of academic publications from 1971 to 201610.1016/j.compedu.2017.09.001 ↗
18. Enhancing students’ botanical learning by using augmented reality10.1007/s10209-017-0590-4 ↗
19. Probability learning in mathematics using augmented reality: Impact on student’s learning gains and attitudes10.1080/10494820.2019.1696839 ↗
20. The effects of spherical video-based virtual reality implementation on students’ natural science learning effectiveness10.1080/10494820.2018.1548490 ↗
21. The effect of augmented reality technology on middle school students’ achievements and attitudes towards science education10.1016/j.compedu.2019.103710 ↗
22. Tsai, C.Y., Ho, Y.C., and Nisar, H. (2021). Design and validation of a virtual chemical laboratory—An example of natural science in elementary education. Appl. Sci., 11.10.3390/app112110070 ↗
23. Integrating spherical video-based virtual reality into elementary school students’ scientific inquiry instruction: Effects on their problem-solving performance10.1080/10494820.2019.1587469 ↗
24. Research trends in technology-enhanced chemistry learning: A review of comparative research from 2010 to 201910.1007/s10956-020-09894-w ↗
25. Impact of a virtual environment on the learning effectiveness, motivation, cognitive load, and group self-efficacy of elementary school students in collaborative learning10.1007/s11423-022-10159-z ↗
26. (2025, October 08). Using Virtual Reality to Engage Students in STEM. Available online: https://schoolconstructionnews.com/2025/01/23/using-virtual-reality-to-engage-students-in-stem.
27. Bocos Corredor, M., López García, Á., and Díaz Nieto, A. (2020). Classroom VR: A VR Game to Improve Communication Skills in Secondary-School Teachers. [Master’s Thesis, Universidad Complutense de Madrid].10.21125/edulearn.2020.2148 ↗
28. (2025, October 08). ClassVR—Virtual Reality for Schools. ClassVR. Available online: https://www.classvr.com/us/.
29. Virtual reality (VR) in education: The case in Türkiye
30. Implementing virtual reality in science education at South Korean high schools
31. Romano, M., Frolli, A., Aloisio, A., Russello, C., Rega, A., Cerciello, F., and Bisogni, F. (2023). Exploring the potential of immersive virtual reality in Italian schools: A practical workshop with high school teachers. Multimodal Technol. Interact., 7.10.3390/mti7120111 ↗
32. Tene, T., Marcatoma Tixi, J.A., Palacios Robalino, M.L., Mendoza Salazar, M.J., Vacacela Gomez, C., and Bellucci, S. (2024, January 13–16). Integrating immersive technologies with STEM education: A systematic review. Proceedings of the Frontiers in Education Conference, Washington, DC, USA.10.3389/feduc.2024.1410163 ↗
33. Review of constructivism and social constructivism
34. Experience and education10.1080/00131728609335764 ↗
35. The theory of stages of intellectual development
36. What are the learning affordances of 3-D virtual environments?10.1111/j.1467-8535.2009.01038.x ↗
38. Enhancing high school students’ understanding of molecular geometry with augmented reality10.55056/seq.818 ↗
39. Learning mysteries of solar system by immersive virtual reality: An exploration of elementary school students’ virtual presence and positive emotional engagement
40. Element interactivity and intrinsic, extraneous, and germane cognitive load10.1007/s10648-010-9128-5 ↗
41. An augmented reality-based mobile learning system to improve students’ learning achievements and motivations in natural science inquiry activities
42. An augmented reality-based learning approach to enhancing students’ science reading performances from the perspective of the cognitive load theory10.1111/bjet.12716 ↗
43. Cognitive theory of multimedia learning10.1017/CBO9780511816819.004 ↗
44. Augmented and virtual reality in education: Immersive learning research10.1177/0735633119854035 ↗
45. Employing an activity-theoretical perspective to localize an educational innovation in an elementary school10.2190/EC.44.3.d ↗
46. Experimenting with electromagnetism using augmented reality: Impact on flow student experience and educational effectiveness10.1016/j.compedu.2013.09.004 ↗
47. Guerrero, G., Ayala, A., Mateu, J., Casades, L., and Alaman, X. (2016). Integrating virtual worlds with tangible user interfaces for teaching mathematics: A pilot study. Sensors, 16.10.3390/s16111775 ↗
48. The effects of augmented reality on elementary school students’ spatial ability and academic achievement
49. Research trends in technology-based learning from 2000 to 2009: A content analysis of publications in selected journals
50. Kirkpatrick, J.D., and Kirkpatrick, W.K. (2016). Kirkpatrick’s Four Levels of Training Evaluation, Association for Talent Development.
51. Baird, D.E. (2025, October 08). Student Perspectives on Virtual Reality (VR) in the Classroom. Medium. Available online: https://virtualrealitypop.com/student-perspectives-on-using-virtual-reality-vr-in-the-classroom-76d5839444fe.
52. Measuring cognitive and psychological engagement: Validation of the Student Engagement Instrument10.1016/j.jsp.2006.04.002 ↗
53. A systematic review of immersive virtual reality in STEM education: Advantages and disadvantages on learning and user experience10.1109/ACCESS.2024.3489233 ↗
54. Force concept inventory10.1119/1.2343497 ↗
55. Krause, S., Birk, J., Bauer, R., Jenkins, B., and Pavelich, M.J. (2004, January 20–23). Development, testing, and application of a chemistry concept inventory. Proceedings of the 34th Annual Frontiers in Education Conference (FIE 2004), Savannah, GA, USA.
56. Netere, A.K., Babey, A.-M., Kelly-Laubscher, R., Angelo, T.A., and White, P.J. (2024, January 13–16). Mapping design stages and methodologies for developing STEM concept inventories: A scoping review. Proceedings of the Frontiers in Education, Washington, DC, USA.10.3389/feduc.2024.1442833 ↗
57. Hart, S.G. (2006, January 1). NASA-task load index (NASA-TLX); 20 years later. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Los Angeles, CA, USA.10.1037/e577632012-009 ↗
58. Technological pedagogical content knowledge—A review of the literature10.1111/j.1365-2729.2012.00487.x ↗
59. The development of the STEM career interest survey (STEM-CIS)10.1007/s11165-013-9389-3 ↗
60. Investigating STEM semantics and perceptions of engineer candidates and pre-service teachers: A mixed method study
61. Barari, G., and Sanders, B. (2024, January 9). The effectiveness of virtual environments for increasing engagement in engineering technology courses. Proceedings of the 2024 CIEC, Garden Grove, CA, USA.
62. Barari, G., and Sanders, B. (2025, January 22–25). Application of FLASH to Forecast Student Engagement in Online Engineering Courses. Proceedings of the 2025 ASEE Annual Conference & Exposition, Montreal, QC, Canada.
63. Barari, N., and Kim, E. (December, January 30). Linking sparse coding dictionaries for representation learning. Proceedings of the 2021 International Conference on Rebooting Computing (ICRC), Garden Grove, CA, USA.10.1109/ICRC53822.2021.00022 ↗
64. Barari, N., Lian, X., and MacLellan, C.J. (2024). Incremental concept formation over visual images without catastrophic forgetting. arXiv.
65. Continual learning models in aviation systems
66. Wang, Z., Haarer, E.L., Barari, N., and MacLellan, C.J. (2025). Taxonomic networks: A representation for neuro-symbolic pairing. arXiv.