Online Learning Models during the COVID-19 Pandemic: A Bibliometric Analysis

Authors

  • Nugroho Nugroho Universitas Indraprasta PGRI, Indonesia

DOI:

https://doi.org/10.31004/basicedu.v7i2.4966

Keywords:

bibliometric, covid-19, online learning, VOSviewer

Abstract

Online learning as a method of avoiding the spread of COVID-19 adds a new dimension to the fight against this virus. The first publication with online learning as a topic can be traced back to  1986, An Algorithm for Learning Without External Supervision and Its Application to Learning Control Systems (Nikolić & Fu, 1986). Online learning in the education sector has become increasingly prominent in recent years. The study aims to discover and illustrate the direction of trend development of research on online learning during COVID-19. The study used the bibliometric analysis method. It examined 1,594 scientific articles from 159 authors across 110 countries and 160 affiliations. The information gathered between 2019 and 2021 was relevant to the topic. To visualize the result of the study, the researcher used the VOSViewer application. The study shows that research on online learning during the COVID-19 pandemic increased consistently from 2019 to 2021. This study found 1249 documents in that period. Yang H is the most co-authored author. While the most prolific writer is Hong J.C, with 8 articles. This systematic field mapping helps in graphically depicting the evolution of publications as well as identifying areas of current research interest and future research potential. These findings provide a solid basis for future research in this area.

References

Atchison, C., Bowman, L. R., Vrinten, C., Redd, R., Pristerà , P., Eaton, J., & Ward, H. (2021). Early perceptions and behavioural responses during the COVID-19 pandemic: a cross-sectional survey of UK adults. BMJ Open, 11(1), 1–21. https://doi.org/10.1136/bmjopen-2020-043577

Baker, H. K., Kumar, S., & Pandey, N. (2021). Forty years of the Journal of Futures Markets: A bibliometric overview. Journal of Futures Markets, 41(7), 1027–1054. https://doi.org/10.1002/fut.22211

Baker, H. K., Kumar, S., & Pattnaik, D. (2021). Twenty-five years of the Journal of Corporate Finance: A scientometric analysis. Journal of Corporate Finance, 66(January 2020). https://doi.org/10.1016/j.jcorpfin.2020.101572

Bellis, N. De. (2009). Bibliometrics and Citation Analysis; from the Science Citation Index to Cybermetrics. In Learned Publishing. Scarecrow Press, Inc.

Calero-Medina, C., & Noyons, E. C. M. (2008). Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field. Journal of Informetrics, 2(4), 272–279. https://doi.org/10.1016/j.joi.2008.09.005

Charu C. Aggarwal, & Wang, H. (2011). Text Mining in Social Networks. In C. C. Aggarwal (Ed.), Socinalyticsl Network Data Am (pp. 353–374). Springer. https://doi.org/10.1007/978-1-4419-8462-3

Churruca, K., Pomare, C., Ellis, L. A., Long, J. C., & Braithwaite, J. (2019). The influence of complexity: A bibliometric analysis of complexity science in healthcare. BMJ Open, 9(3), 1–10. https://doi.org/10.1136/bmjopen-2018-027308

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

Dabbagh, N., & Bannan-Ritland, B. (2005). Online Learning: Concepts, Strategies, and Application (1st ed.). Pearson.

De Rezende, L. B., Blackwell, P., & Pessanha Gonçalves, M. D. (2018). Research Focuses, Trends, and Major Findings on Project Complexity: A Bibliometric Network Analysis of 50 Years of Project Complexity Research. Project Management Journal, 49(1), 42–56. https://doi.org/10.1177/875697281804900104

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(April), 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Feeley, T. H. (2008). A bibliometric analysis of communication journals from 2002 to 2005. Human Communication Research, 34(3), 505–520. https://doi.org/10.1111/j.1468-2958.2008.00330.x

Hudha, M. N., Hamidah, I., Permanasari, A., Abdullah, A. G., Rachman, I., & Matsumoto, T. (2020). Low carbon education: A review and bibliometric analysis. European Journal of Educational Research, 9(1), 319–329. https://doi.org/10.12973/eu-jer.9.1.319

Jaradat, Y., Alia, M., Masoud, M., Manasrah, A., Jebreil, I., Garaibeh, A., & Al-Arasi, S. (2022). A bibliometric analysis of the International Journal of Advances in Soft Computing and its Applications: Research influence and Contributions. International Journal of Advances in Soft Computing and Its Applications, 14(2), 167–184. https://doi.org/10.15849/IJASCA.220720.12

Jatmiko, B., Prahani, B. K., Suprapto, N., Admoko, S., Deta, U. A., Lestari, N. A., Jauhariyah, M. N. R., Yantidewi, M., & Muliyati, D. (2021). Bibliometric analysis on online physics learning during COVID-19 Pandemic: Contribution to physics education undergraduate program. Journal of Physics: Conference Series, 2110(1). https://doi.org/10.1088/1742-6596/2110/1/012018

Lee, K., Jung, H., & Song, M. (2016). Subject–method topic network analysis in communication studies. Scientometrics, 109(3), 1761–1787. https://doi.org/10.1007/s11192-016-2135-7

Leydesdorff, L., Rafols, I., & Chen, C. (2013). Interactive overlays of journals and the measurement of interdisciplinarity. Proceedings of ISSI 2013 - 14th International Society of Scientometrics and Informetrics Conference, 1, 1037–1052.

Mathankar, A. R. (2018). BIBLIOMETRICS : AN OVERVIEW. Internaiional Journal of Library & Information Science (IJLIS), 7(3), 9–15.

Nandiyanto, A. B. D., Biddinika, M. K., & Triawan, F. (2020). Indonesian Journal of Science & Technology How Bibliographic Dataset Portrays D ecreasing N umber of S cientific P ublication from Indonesia. Indonesian Journal of Science & Technology, 5(1), 154–175.

Nikolić, J., & Fu, K. S. (1986). An Algorithm for Learning Without External Supervision and Its Application to Learning Control Systems. IEEE Transactions on Automatic Control, 11(3), 304–312. https://doi.org/10.1109/TAC.1966.1098345

OECD. (2020). A framework to guide an education response to the COVID-19 Pandemic of 2020. In OECD Policy Responses to Coronavirus (COVID-19). OECD Publishing. https://doi.org/10.1787/6ae21003-en.

Ramos-Rodrígue, A. R., & Ruíz-Navarro, J. (2004). Changes in the intellectual structure of strategic management research: A bibliometric study of the Strategic Management Journal, 1980-2000. Strategic Management Journal, 25(10), 981–1004. https://doi.org/10.1002/smj.397

Ritonga, S., Atnur, W. N., Panjaitan, E. U., Rahmat, D., & Syafriyeti, R. (2021). A Study of Online Platforms Learning During the Covid-19 Pandemic in College. Edukatif : Jurnal Ilmu Pendidikan, 4(1), 101–106. https://doi.org/10.31004/edukatif.v4i1.1743

Rusdiantho, K. S. G., & Elon, Y. (2021). Persepsi Mahasiswa terhadap Pembelajaran Online Fase Pandemic Covid-19. Edukatif : Jurnal Ilmu Pendidikan, 3(5), 2573–2585. https://doi.org/10.31004/edukatif.v3i5.899

Tunger, D., & Eulerich, M. (2018). Bibliometric analysis of corporate governance research in German-speaking countries: applying bibliometrics to business research using a custom-made database. Scientometrics, 117(3), 2041–2059. https://doi.org/10.1007/s11192-018-2919-z

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3

Van, N. T., Abbas, A. F., Abuhassna, H., Awae, F., & Dike, D. (2021). Digital Readiness for Social Educators in Health Care and Online Learning During COVID-19 Pandemic: A Bibliometric Analysis. International Journal of Interactive Mobile Technologies, 15(18), 104–115. https://doi.org/10.3991/ijim.v15i18.25529

Xie, L., Chen, Z., Wang, H., Zheng, C., & Jiang, J. (2020). Bibliometric and Visualized Analysis of Scientific Publications on Atlantoaxial Spine Surgery Based on Web of Science and VOSviewer. World Neurosurgery, 137(February), 435-442.e4. https://doi.org/10.1016/j.wneu.2020.01.171

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Published

2023-05-22

How to Cite

Nugroho, N. (2023). Online Learning Models during the COVID-19 Pandemic: A Bibliometric Analysis. Jurnal Basicedu, 7(2), 1295–1304. https://doi.org/10.31004/basicedu.v7i2.4966

Issue

Vol. 7 No. 2 (2023): April

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Articles

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