The Role of Emerging Technologies in Transforming Physics Education
DOI:
https://doi.org/10.55544/sjmars.5.1.4Keywords:
Physics education, emerging technologies, virtual reality, augmented reality, interactive coding, adaptive learningAbstract
Emerging technologies, including virtual reality (VR) simulations, interactive coding environments, augmented reality (AR) visualizations, and adaptive learning platforms, hold immense potential to transform physics education. This study examines the impact of these cutting-edge technologies on teaching and learning in physics, drawing on research from various studies. VR simulations can enhance students' spatial reasoning and conceptual understanding, while interactive coding environments encourage computational thinking and hands-on learning. AR visualizations can improve spatial awareness and engagement, and adaptive platforms can personalize the educational experience to meet individual needs. The findings indicate that the use of VR, interactive coding, AR, and adaptive learning platforms leads to the creation of more dynamic, engaging, and personalized learning experiences. By embracing these advancements, educators can foster the next generation of physicists and STEM leaders, equipping them with the skills and knowledge required to thrive in an increasingly technology-driven world. The integration of these innovative technologies is crucial for preparing students for the challenges and opportunities of the future. This study highlights the transformative potential of emerging technologies in revolutionizing physics education and shaping the future of STEM learning.
References
[1] Akçayır, M., & Akçayır, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1-11. https://doi.org/10.1016/j.edurev.2016.11.002
[2] Belova, N., & Eilks, I. (2015). Participatory action research in science education at secondary and university level as a strategy to promote education for sustainable development. CEPS Journal, 5(1), 167-184.
[3] Bonde, M. T., Makransky, G., Wandall, J., Larsen, M. V., Morsing, M., Jarmer, H., & Sommer, M. O. (2014). Improving biotech education through gamified laboratory simulations. Nature Biotechnology, 32(7), 694-697. https://doi.org/10.1038/nbt.2955
[4] Caballero, M. D., Kohlmyer, M. A., & Schatz, M. F. (2012). Implementing and assessing computational modeling in introductory mechanics. Physical Review Special Topics-Physics Education Research, 8(2), 020106. https://doi.org/10.1103/PhysRevSTPER.8.020106
[5] Choi, B., & Baek, Y. (2011). Exploring factors of media characteristic influencing flow in learning through virtual worlds. Computers & Education, 57(4), 2382-2394. https://doi.org/10.1016/j.compedu.2011.06.019
[6] Ibáñez, M. B., & Delgado-Kloos, C. (2018). Augmented reality for STEM learning: A systematic review. Computers & Education, 123, 109-123. https://doi.org/10.1016/j.compedu.2018.05.002
[7] Johnson-Glenberg, M. C. (2018). Immersive VR and education: Embodied design principles that include gesture and hand controls. Frontiers in Robotics and AI, 5, 81. https://doi.org/10.3389/frobt.2018.00081
[8] Karnam, D. K., Muvva, J. B., Akula, A. K., & Gunukula, S. (2019). Integrating computational thinking and programming with physics education using Jupyter Notebooks. European Journal of Physics, 40(4), 045702. https://doi.org/10.1088/1361-6404/ab1f6f
[9] Maftunzada, S. A. L. (2024). THE TRANSFORMATIVE POTENTIAL OF EMERGING TECHNOLOGIES IN PHYSICS EDUCATION. Academic research in educational sciences, 5(7-8), 71-79.
[10] Fazli, M., & Maftunzada, S. A. L. (2024). THE ROLE OF ELECTROMAGNETIC WAVES IN MODERN COMMUNICATIONS. Academic research in educational sciences, 5(7-8), 80-89.
[11] Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2014). Effectiveness of virtual reality-based instruction on students' learning outcomes in K-12 and higher education: A meta-analysis. Computers & Education, 70, 29-40. https://doi.org/10.1016/j.compedu.2013.07.033
[12] Moore, E. B., Herzog, T. A., & Perkins, K. K. (2013). Interactive simulations as implicit support for guided-inquiry. Chemistry Education Research and Practice, 14(3), 257-268. https://doi.org/10.1039/C3RP00010K
[13] Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2015). Continued Progress: Promising Evidence on Personalized Learning. Research Report. RR-1365-BMGF. RAND Corporation.
[14] Radu, I. (2014). Augmented reality in education: A meta-review and cross-media analysis. Personal and Ubiquitous Computing, 18(6), 1533-1543. https://doi.org/10.1007/s00779-013-0747-y
[15] Salmi, H., Kaasinen, A., & Kallunki, V. (2012). Towards an open learning environment via augmented reality (AR): Visualising the invisible in science centres and schools for teacher education. Procedia-Social and Behavioral Sciences, 45, 284-295. https://doi.org/10.1016/j.sbspro.2012.06.565
[16] Triona, L. M., & Klahr, D. (2003). Point and click or grab and heft: Comparing the influence of physical and virtual instructional materials on elementary school students' ability to design experiments. Cognition and Instruction, 21(2), 149-173. https://doi.org/10.1207/S1532690XCI2102_02
[17] Wieman, C. E. (2014). Large-scale comparison of science teaching methods sends clear message. Proceedings of the National Academy of Sciences, 111(23), 8319-8320. https://doi.org/10.1073/pnas.1407304111
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Stallion Journal for Multidisciplinary Associated Research Studies
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
10.55544/sjmars
editor@sjmars.com | 
+91-8874396939
