Tren, Kesenjangan, dan Prospek Riset Konvergensi Teknologi Imersif dan AI dalam Pembelajaran Fisika: Studi Bibliometrik
DOI:
https://doi.org/10.46918/karst.v9i1.3300Keywords:
analisis bibliometrik; konvergensi teknologi; kecerdasan buatan; pembelajaran fisika; teknologi imersifAbstract
Perkembangan teknologi imersif dan kecerdasan buatan (Artificial Intelligence/AI) mendorong transformasi pembelajaran fisika menjadi lebih interaktif dan adaptif. Namun, perkembangan penelitian mengenai konvergensi kedua teknologi tersebut belum dipetakan secara sistematis. Penelitian ini bertujuan menganalisis tren, kesenjangan, dan prospek riset menggunakan pendekatan bibliometrik. Data diperoleh dari basis data Scopus periode 2020–2026. Setelah proses seleksi, sebanyak 100 artikel dianalisis menggunakan Bibliometrix-Biblioshiny. Analisis meliputi tren publikasi, jaringan kolaborasi, ko-okurensi kata kunci, pemetaan tematik, dan struktur konseptual. Hasil penelitian menunjukkan peningkatan publikasi yang signifikan dengan dominasi topik artificial intelligence, virtual reality, immersive technologies, dan STEM education. Amerika Serikat, Tiongkok, dan Indonesia menjadi kontributor publikasi terbesar. Hasil penelitian juga menunjukkan bahwa integrasi AI dan teknologi imersif dalam pembelajaran fisika masih memiliki peluang riset yang luas, terutama pada pengembangan pembelajaran adaptif dan lingkungan belajar imersif. Temuan ini memberikan pemetaan ilmiah yang dapat menjadi rujukan bagi penelitian selanjutnya.
References
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
Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/https://doi.org/10.1016/j.joi.2017.08.007
Bacca-Acosta, J., Baldiris, S., Fabregat, R., Graf, S., & Kinshuk, D. (2014). Augmented reality trends in education: A systematic review of research and applications. Educational Technology and Society, 17, 133–149.
Craig, C., & Kay, R. (2023). A systematic overview of reviews of the use of immersive virtual reality in higher education. Higher Learning Research Communications, 13, 42–60. https://doi.org/10.18870/hlrc.v13i2.1430
de Jong, T., Linn, M. C., & Zacharia, Z. C. (2013). Physical and virtual laboratories in science and engineering education. Science, 340(6130), 305–308. https://doi.org/10.1126/science.1230579
Dege, D., & Brüggemann, P. (2023). Marketing analytics with RStudio : A software review marketing analytics with RStudio : a software review. Palgrave Macmillan.
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/https://doi.org/10.1016/j.jbusres.2021.04.070
Fukuyama, M. (2018). Society 5.0: Aiming for a new human-centered society. Japan spotlight, 27(5), 47-50.
Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed. An argument for AI in Education, 18(2), 22-43.
Hamilton, D., McKechnie, J., Edgerton, E., & Wilson, C. (2020). Immersive virtual reality as a pedagogical tool in education: a systematic literature review of quantitative learning outcomes and experimental design. Journal of Computers in Education, 8. https://doi.org/10.1007/s40692-020-00169-2
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence In Education Promises and Implications for Teaching and Learning. The Center for Curriculum Redesign.
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/https://doi.org/10.1016/j.lindif.2023.102274
Makransky, G., & Lilleholt, L. (2018). A structural equation modeling investigation of the emotional value of immersive virtual reality in education. Educational Technology Research and Development, 66. https://doi.org/10.1007/s11423-018-9581-2
Moral-Muñoz, J. A., & Herrera-Viedma, E. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de La Información, 29(1). https://doi.org/10.3145/epi.2020.ene.03
Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486-497.
Passas, I. (2024). Bibliometric analysis: The main steps. Encyclopedia, 4, 1014–1025. https://doi.org/10.3390/encyclopedia4020065
Rutten, N., van Joolingen, W., & Veen, J. (2012). The learning effects of computer simulations in science education. Computers & Education, 58, 136–153. https://doi.org/10.1016/j.compedu.2011.07.017
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., & Hickey, D. T. (2023). What if the devil is my guardian angel : ChatGPT as a case study of using chatbots in education. Smart Learning Environments. https://doi.org/10.1186/s40561-023-00237-x
UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization,.
Wu, H.-K., Lee, S. W.-Y., Chang, H.-Y., & Liang, J.-C. (2013). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41–49. https://doi.org/10.1016/j.compedu.2012.10.024
Yang, C., Zhang, J., Hu, Y., Yang, X., Chen, M., Shan, M., & Li, L. (2024). The impact of virtual reality on practical skills for students in science and engineering education: a meta-analysis. International Journal of STEM Education, 11(1), 28. https://doi.org/10.1186/s40594-024-00487-2
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International journal of educational technology in higher education, 16(1), 39.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Vandan Wiliyanti, Siti Sarah, Viyanti Viyanti

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Karst : Jurnal Pendidikan Fisika dan Terapannya, adalah Jurnal Akses Terbuka (Open Access Journal). Penulis yang menerbitkan artikelnya dalam jurnal ini setuju dengan ketentuan berikut:

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.






94.jpg)













