The Potential of E-Learning in Understanding Concepts in Science and Physics Education: A Bibliometric Analysis
DOI:
https://doi.org/10.26740/jdpe.v2i1.52130Keywords:
Bibliometrics, Conceptual Understanding, E-Learning, Physics Education, Science EducationAbstract
Objective: The objective of this study is to describe trends, contributions, developments, and research opportunities in e-learning for conceptual understanding in physics and science education. Method: The research method employed was bibliometric analysis using the Scopus database. Data were obtained from the Scopus database using the search terms “E-Learning” AND “Physics Education” OR “Science Education” AND “Conceptual Understanding,” yielding 2,735 documents. The Scopus database was filtered by year, document type, and language, resulting in 2,363 documents for analysis. Results: The results indicate that research on e-learning’s impact on conceptual understanding in physics or science education has been a trend over the past ten years. The top contributing authors are H, Gwo-Jen; S, Niwat; K, Heru; and S, Andi, while the top affiliations are Indonesia University of Education, Padang State University, and Malang State University. Current developments in e-learning have been categorized as artificial intelligence, so the opportunity for data-driven research lies in developing artificial intelligence for learning. Novelty: Technological transformation has impacted the world of education, particularly in strategies to improve students’ conceptual understanding. This study presents a bibliometric mapping of e-learning research related to conceptual understanding in physics and science education. This study differs from previous research, which has not presented a thematic evolution to guide future research.
References
Aksit, O., & Wiebe, E. N. (2020). Exploring force and motion concepts in middle grades using computational modeling: A classroom intervention study. Journal of Science Education and Technology, 29(1), 65-82. https://doi.org/10.1007/s10956-019-09800-z
Alenezi, M., Wardat, S., & Akour, M. (2023). The need of integrating digital education in higher education: Challenges and opportunities. Sustainability, 15(6), 4782. https://doi.org/10.3390/su15064782
Arsyad, M., & Syakhrani, A. W. (2024). The efficiency of using visual learning media in improving the understanding of science concepts in elementary school students. Indonesian Journal of Education (INJOE), 4(1), 775-787. https://felifa.net/index.php/INJOE/article/view/234
Asl, S. G. Z., Sotouneh, S., Aliakbari, H., & Amani, M. (2023). Survey of the statues of Iranian medical science journals indexed in databases of Web of science, Scopus and PubMed. International Journal of Information Science & Management, 21(1). https://doi.org/10.22034/ijism.2022.1977572.0
Asubiaro, T. V. (2023). Sub-Saharan Africa's biomedical journal coverage in scholarly databases: a comparison of Web of Science, Scopus, EMBASE, MEDLINE, African Index Medicus, and African Journals Online. Journal of the Medical Library Association: JMLA, 111(3), 696. https://doi.org/10.5195/jmla.2023.1448
Banda, H. J., & Nzabahimana, J. (2021). Effect of integrating physics education technology simulations on students’ conceptual understanding in physics: A review of literature. Physical review physics education research, 17(2), 023108. https://doi.org/10.1103/PhysRevPhysEducRes.17.023108
Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020). Mapping research in student engagement and educational technology in higher education: A systematic evidence map. International journal of educational technology in higher education, 17(1), 1-30.. https://doi.org/10.1186/s41239-019-0176-8
Cheah, C. W. (2021). Developing a gamified AI-enabled online learning application to improve students’ perception of university physics. Computers and Education: Artificial Intelligence, 2, 100032. https://doi.org/10.1016/j.caeai.2021.100032
Cozzolino, I., & Ferraro, M. B. (2022). Document clustering. Wiley Interdisciplinary Reviews: Computational Statistics, 14(6), e1588. https://doi.org/10.1002/wics.1588
Damarsha, A. B., Irani, D. W., Ariana, I. M., Pertiwi, P. M., Suprapto, N., & Hariyono, E. (2025). Identification of misconceptions of moment of force and moment of inertia in senior high school using CRI method. In Journal of Physics: Conference Series (Vol. 3132, No. 1, p. 012009). IOP Publishing. https://10.1088/1742-6596/3132/1/012009
Dhawan, S. (2022). Online learning: A panacea in the time of COVID-19 crisis and beyond. Journal of Educational Technology Systems, 51(1), 5–22. https://doi.org/10.1177/0047239520934018
Djeki, E., Dégila, J., Bondiombouy, C., & Alhassan, M. H. (2022). E-learning bibliometric analysis from 2015 to 2020. Journal of Computers in Education, 9(4), 727-754. https://doi.org/10.1007/s40692-021-00218-4
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. (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
Fauzi, M. A. (2022). E-learning in higher education institutions during COVID-19 pandemic: current and future trends through bibliometric analysis. Heliyon, 8(5). https://doi.org/10.1016/j.heliyon.2022.e09433
Hansen, E. J. (2023). Idea-based learning: A course design process to promote conceptual understanding. Routledge. https://doi.org/10.4324/9781003445203
Hassan, W., & Duarte, A. E. (2024). Bibliometric analysis: a few suggestions. Current problems in cardiology, 49(8), 102640. https://doi.org/10.1016/j.cpcardiol.2024.102640
Josué, A., Bedoya-Flores, M. C., Mosquera-Quiñonez, E. F., Mesías-Simisterra, Á. E., & Bautista-Sánchez, J. V. (2023). Educational platforms: Digital tools for the teaching-learning process in Education. Ibero-American Journal of Education & Society Research, 3(1), 259-263. https://doi.org/10.56183/iberoeds.v3i1.626
Krisanti, G. D., Yuliatin, E. D., Damarsha, A. B., Suprapto, N., Hidaayatullaah, H. N., & Saphira, H. V. (2025). Gamification's contribution to creativity enhancement: a bibliometric analysis of empirical and theoretical studies in the last decade. Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education), 13(2):393 407. https://doi.org/10.24815/jpsi.v13i2.43886
Laili, F., & Nisa’, K. (2025). Innovative digital approaches to physics teaching through STEAM integration. Journal of Digitalization in Physics Education, 1(1), 000004. https://doi.org/10.26740/jdpe.v1i1.38999
Le, H. T., Nguyen-Dinh, C. H., Van, H. T., & Nguyen, M. D. (2025). The evolution of online physics education: Insights from a bibliometric study. International Journal of Learning, Teaching and Educational Research, 24(4), 221-249. https://doi.org/10.26803/ijlter.24.4.11
Liu, H., Jiang, Y., Fan, H., Wang, X., & Zhao, K. (2021). Visualization analysis of knowledge network research based on mapping knowledge. Journal of Signal Processing Systems, 93(2), 333-344. https://doi.org/10.1007/s11265-020-01595-2
Logan, R. M., Johnson, C. E., & Worsham, J. W. (2021). Development of an e-learning module to facilitate student learning and outcomes. Teaching and Learning in Nursing, 16(2), 139-142. https://doi.org/10.1016/j.teln.2020.10.007
Mahligawati, F., Allanas, E., Butarbutar, M. H., & Nordin, N. A. N. (2023). Artificial intelligence in physics education: A comprehensive literature review. In Journal of Physics: Conference Series (Vol. 2596, No. 1, p. 012080). IOP Publishing. https://10.1088/1742-6596/2596/1/012080
Meirbekov, A., Nyshanova, S., Meiirbekov, A., Kazykhankyzy, L., Burayeva, Z., & Abzhekenova, B. (2024). Digitisation of English language education: Instagram and TikTok online educational blogs and courses vs. traditional academic education. How to increase student motivation?. Education and Information technologies, 29(11), 13635-13662. https://doi.org/10.1007/s10639-023-12396-y
Naufal, M. G., Ariana, I. M., Ibrahim, M. S., Soetra, V. F., Damarsha, A. B., Satriawan, M., & Rizki, I. A. (2025). Exploration of Emi (Electrical Monster Invaders) through gamification models to enhance creative thinking skills. Berkala Ilmiah Pendidikan Fisika, 13(2), 217-229. https://dx.doi.org/10.20527/bipf.v13i2.22023
Negahban, M. B., & Zarifsanaiey, N. (2020). Network analysis and scientific mapping of the e-learning literature from 1995 to 2018. Knowledge Management & E-Learning, 12(3), 268-279. https://doi.org/10.34105/j.kmel.2020.12.014
Nilimaa, J. (2023). New examination approach for real-world creativity and problem-solving skills in mathematics. Trends in Higher Education, 2(3), 477-495. https://doi.org/10.3390/higheredu2030028
Olszewski, B., & Crompton, H. (2020). Educational technology conditions to support the development of digital age skills. Computers & Education, 150, 103849. https://doi.org/10.1016/j.compedu.2020.103849
Panigrahi, R., Srivastava, P. R., & Panigrahi, P. K. (2021). Effectiveness of e-learning: the mediating role of student engagement on perceived learning effectiveness. Information Technology & People, 34(7), 1840-1862. https://doi.org/10.1108/ITP-07-2019-0380
Rahmah, S., & Lubis, A. H. (2024). Problem posing as a learning model to improve primary school students' mathematics learning outcomes in gayo lues. Journal of Indonesian Primary School, 1(4), 93-104. https://doi.org/10.62945/jips.v1i4.409
Santiago, C. J., Ulanday, M. L., Centeno, Z. J., Bayla, M. C., & Callanta, J. (2021). Flexible learning adaptabilities in the new normal: E-Learning resources, digital meeting platforms, online learning systems and learning engagement. Asian Journal of Distance Education, 16(2). Retrieved from https://asianjde.com/ojs/index.php/AsianJDE/article/view/580
Sari, W. W., Dwikoranto, D., & Bergsma, L. N. (2025). A futuristic steam-integrated PBL model enhanced by digital technology to foster high school students’ creative thinking in physics learning. Journal of Digitalization in Physics Education, 1(1), 000005. https://doi.org/10.26740/jdpe.v1i1.39000
Srivastava, R., & Srivastava, S. (2022). Bibliometric analysis of Indian journal of palliative care from 1995 to 2022 using the VOSviewer and Bibliometrix software. Indian Journal of Palliative Care, 28(4), 338. https://doi.org/10.25259/IJPC_30_2022
Wani, J. A., & Ganaie, S. A. (2024). The scientific outcome in the domain of grey literature: bibliometric mapping and visualisation using the R-bibliometrix package and the VOSviewer. Library Hi Tech, 42(1), 309-330. https://doi.org/10.1108/LHT-01-2022-0012
Yeung, A. W. K. (2021). Document type assignment by web of science, scopus, pubmed, and publishers to “top 100” papers. Malaysian Journal of Library and Information Science, 26(3), 97–103. https://doi.org/10.22452/mjlis.vol26no3.5
Yu, Z., Liang, Z., & Xue, L. (2022). A data-driven global innovation system approach and the rise of China’s artificial intelligence industry. Regional Studies, 56(4), 619-629. https://doi.org/10.1080/00343404.2021.1954610
Zhu, M. M., Lu, X. Y., Chen F. Y., Yang, L. Y., Shen, Z. S. (2024). An explorative study on document type assignment of review articles in Web of Science, Scopus and journals’ websites. Journal of Data and Information Science, 9(1), 11–36. https://doi.org/10.2478/jdis-2024-0003
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