E-ISSN: 3125-0130

Articles

A Bibliometric Analysis of STEM-Based Interactive Modules in Physics Education: Research Trends, Thematic Structures, and Emerging Directions (2010–2026)

Keywords

  • Bibliometric analysis
  • Interactive modules
  • Physics education
  • STEM education
  • Technology-enhanced learning

How to Cite

A Bibliometric Analysis of STEM-Based Interactive Modules in Physics Education: Research Trends, Thematic Structures, and Emerging Directions (2010–2026). (2026). Journal of Education for Sustainability and Transformation, 1(4), 49-64. https://journal.serral.org/jestra/article/view/39

Abstract

STEM education and interactive learning technologies are increasingly converging in physics education through e-modules, simulations, e-learning, virtual laboratories, augmented reality, virtual reality, and related digital environments. This study maps research trends, thematic structures, and emerging directions in STEM-based interactive modules in physics education from 2010 to 2026. A bibliometric analysis of 127 Scopus-indexed documents was conducted using Bibliometrix/Biblioshiny in RStudio, covering annual production, citations, publication sources, term frequency, trend topics, co-occurrence networks, density mapping, and thematic mapping. Publication output accelerated after 2019. The field was dominated by students, physics education, STEM, engineering education, STEM education, e-learning, virtual reality, and learning systems. The thematic map identified STEM education, virtual reality, curricula and students, STEM engineering education as motor themes, while physics education, teaching, e- learning formed a basic theme. Computational thinking, mixed reality, gamification, and science technologies remained less consolidated but showed emerging potential. The findings suggest that future research should move beyond technology adoption by strengthening pedagogical coherence, meaningful interactivity, and explicit cross-disciplinary STEM integration.

References

  1. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
  2. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146–166. https://doi.org/10.1016/j.joi.2010.10.002
  3. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  4. English, L. D. (2016). STEM education K–12: Perspectives on integration. International Journal of STEM Education, 3, Article 3. https://doi.org/10.1186/s40594-016-0036-1
  5. Kelley, T. R., & Knowles, J. G. (2016). A conceptual framework for integrated STEM education. International Journal of STEM Education, 3, Article 11. https://doi.org/10.1186/s40594-016-0046-z
  6. Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan—a web and mobile app for systematic reviews. Systematic Reviews, 5, Article 210. https://doi.org/10.1186/s13643-016-0384-4
  7. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
  8. Peters, M. D. J., Marnie, C., Tricco, A. C., Pollock, D., Munn, Z., Alexander, L., McInerney, P., Godfrey, C. M., & Khalil, H. (2020). Updated methodological guidance for the conduct of scoping reviews. JBI Evidence Synthesis, 18(10), 2119–2126. https://doi.org/10.11124/JBIES-20-00167
  9. Putri, R. A., Kuswanto, H., Rahmi, R., I’liyatunnisa’, Saputri, M., Padli, M. S., Tugirin, Masak, Hamdi, M. N., & Aziza, N. (2026). Trends in STEM-based physics education research (2016–2025): A systematic literature review. European Journal of STEM Education, 11(1), Article 28. https://doi.org/10.20897/ejsteme/18497
  10. Rutten, N., van Joolingen, W. R., & van der Veen, J. T. (2012). The learning effects of computer simulations in science education. Computers & Education, 58(1), 136–153. https://doi.org/10.1016/j.compedu.2011.07.017
  11. Thees, M., Kapp, S., Strzys, M. P., Beil, F., Lukowicz, P., & Kuhn, J. (2020). Effects of augmented reality on learning and cognitive load in university physics laboratory courses. Computers in Human Behavior, 108, 106316. https://doi.org/10.1016/j.chb.2020.106316
  12. Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629