Massive Open Online Course (MOOC) in science: Bibliometric analysis of higher education innovations (2014-2024)
Abstract
Massive Open Online Courses (MOOCs) have become a popular educational method in recent years, especially after the outbreak of the COVID-19 pandemic in late 2019, which triggered a significant surge in related research. This study presents a bibliometric review of several types of MOOC documents reviewed during the period 2014 to 2024 from the Scopus database. The results of this study using a quantitative descriptive method of 896 metadata documents from the Scopus database were processed, used, and analysed with the Biblioshiny application and mapped using VOSviewer. In general, some countries that have the most scientific publications include the USA with 3310 articles, China with 756 articles, and Australia with 719 articles. Then, ASEE Annual Conference and Exposition, Conference Proceedings are the most relevant publication places. Regarding the authors who contributed the most to the research, Anbar. A stands out in the MOOC literature. Relevant keywords or trends that frequently appear are ‘students’, ‘e-learning’, ‘teaching’, ‘education’, and ‘curriculum’. In other words, they describe the concepts or subject matter that are most frequently discussed or have strong linkages with other elements in the same context. This study provides researchers with a comprehensive and in-depth understanding of global MOOC trends and identifies potential research topics useful for innovation in science education in higher education.
Downloads
References
Albelbisi, N. A., & Yusop, F. D. (2020). Systematic review of a nationwide mooc initiative in malaysian higher education system. Electronic Journal of E-Learning, 18(4), 288–299. https://doi.org/10.34190/EJEL.20.18.4.002
Alonso-Mencía, M. E., Alario-Hoyos, C., Maldonado-Mahauad, J., Estévez-Ayres, I., Pérez-Sanagustín, M., & Delgado Kloos, C. (2020). Self-regulated learning in MOOCs: lessons learned from a literature review. In Educational Review (Vol. 72, Issue 3, pp. 319–345). Routledge. https://doi.org/10.1080/00131911.2019.1566208
AlQaidoom, H., & Shah, A. (2020). International Journal of English and Education The Role of MOOC in Higher Education during Coronavirus Pandemic: A Systematic Review. 4, 9. www.ijee.org
Al-Rahmi, W., Aldraiweesh, A., Yahaya, N., Bin Kamin, Y., & Zeki, A. M. (2019). Massive Open Online Courses (MOOCs): Data on higher education. Data in Brief, 22, 118–125. https://doi.org/10.1016/j.dib.2018.11.139
Badali, M., Hatami, J., Banihashem, S. K., Rahimi, E., Noroozi, O., & Eslami, Z. (2022). The role of motivation in MOOCs’ retention rates: a systematic literature review. Research and Practice in Technology Enhanced Learning, 17(1). https://doi.org/10.1186/s41039-022-00181-3
Chong, S. W., Khan, M. A., & Reinders, H. (2024). A critical review of design features of LMOOCs. Computer Assisted Language Learning, 37(3), 389–409. https://doi.org/10.1080/09588221.2022.2038632
Fang, J. W., Hwang, G. J., & Chang, C. Y. (2022). Advancement and the foci of investigation of MOOCs and open online courses for language learning: a review of journal publications from 2009 to 2018. Interactive Learning Environments, 30(7), 1351–1369. https://doi.org/10.1080/10494820.2019.1703011
G, G., Singh, A. K., & Singh, S. K. (2023). Massive Open Online Courses (MOOCs): A Bibliometric Analysis. Delhi Business Review, 24(1), 35–47. https://doi.org/10.51768/dbr.v24i1.241202304
Hikmah Susanti, N. (2023). Dari segi konten melalui massive open online course (MOOC). Jurnal Perspektif, 16(2), 212.
Huang, H., Jew, L., & Qi, D. (2023). Take a MOOC and then drop: A systematic review of MOOC engagement pattern and dropout factor. In Heliyon (Vol. 9, Issue 4). Elsevier Ltd. https://doi.org/10.1016/j.heliyon.2023.e15220
Irwanto, I., Wahyudiati, D., Saputro, A. D., & Lukman, I. R. (2023). 42.1. Massive Open Online Courses (moocs) in Higher Education. IJIET: International Journal of Information and Education Technology, 13, 1–9.
Jansen, R. S., van Leeuwen, A., Janssen, J., Conijn, R., & Kester, L. (2020). Supporting learners’ self-regulated learning in Massive Open Online Courses. Computers and Education, 146. https://doi.org/10.1016/j.compedu.2019.103771
Jung, Y., & Lee, J. (2018). Learning Engagement and Persistence in Massive Open Online Courses (MOOCS). Computers and Education, 122, 9–22. https://doi.org/10.1016/j.compedu.2018.02.013
Lee, D., Watson, S. L., & Watson, W. R. (2019). Systematic literature review on self-regulated learning in massive open online courses. In Australasian Journal of Educational Technology (Issue 1).
Liu, C., Zou, D., Chen, X., Xie, H., & Chan, W. H. (2021). A bibliometric review on latent topics and trends of the empirical MOOC literature (2008–2019). Asia Pacific Education Review, 22(3), 515–534. https://doi.org/10.1007/s12564-021-09692-y
Meet, R. K., & Kala, D. (2021). Trends and future prospects in MOOC researches: A systematic literature review 2013–2020. Contemporary Educational Technology, 13(3). https://doi.org/10.30935/cedtech/10986
Moore, R. L., & Blackmon, S. J. (2022). From the learner’s perspective: A systematic review of MOOC learner experiences (2008–2021). Computers and Education, 190. https://doi.org/10.1016/j.compedu.2022.104596
Palacios Hidalgo, F. J., Huertas Abril, C. A., & Gómez Parra, M. a. E. (2020). MOOCs: Origins, Concept and Didactic Applications: A Systematic Review of the Literature (2012–2019). Technology, Knowledge and Learning, 25(4), 853–879. https://doi.org/10.1007/s10758-019-09433-6
Pampouri, A., Kostelidou, S., Sionta, E., Souitsme, M., & Mavropoulos, A. (2021). Massive open online courses (MOOCS): a review. INTED2021 Proceedings, 1, 7349–7356. https://doi.org/10.21125/inted.2021.1468
Rulinawaty, R., Priyanto, A., Kuncoro, S., Rahmawaty, D., & Wijaya, A. (2023). Massive Open Online Courses (MOOCs) as Catalysts of Change in Education During Unprecedented Times: A Narrative Review. Jurnal Penelitian Pendidikan IPA, 9(SpecialIssue), 53–63. https://doi.org/10.29303/jppipa.v9ispecialissue.6697
Sallam, M. H., Martín-Monje, E., & Li, Y. (2022). Research trends in language MOOC studies: a systematic review of the published literature (2012-2018). Computer Assisted Language Learning, 35(4), 764–791. https://doi.org/10.1080/09588221.2020.1744668
Tao, D., Fu, P., Wang, Y., Zhang, T., & Qu, X. (2022). Key characteristics in designing massive open online courses (MOOCs) for user acceptance: an application of the extended technology acceptance model. Interactive Learning Environments, 30(5), 882–895. https://doi.org/10.1080/10494820.2019.1695214
Tian, Y., Sun, Y., Zhang, L., & Qi, W. (2022). Research on MOOC Teaching Mode in Higher Education Based on Deep Learning. Computational Intelligence and Neuroscience, 2022. https://doi.org/10.1155/2022/8031602
Voudoukis, N., & Pagiatakis, G. (2022). Massive Open Online Courses (MOOCs): Practices, Trends, and Challenges for the Higher Education. European Journal of Education and Pedagogy, 3(3), 288–295. https://doi.org/10.24018/ejedu.2022.3.3.365
Wahid, R., Ahmi, A., & Alam, A. S. A. F. (2020). Growth and Collaboration in Massive Open Online Courses: A Bibliometric Analysis. International Review of Research in Open and Distributed Learning, 21(4), 292–322. https://doi.org/10.19173/IRRODL.V21I4.4693
Wong, J., Baars, M., Davis, D., Van Der Zee, T., Houben, G. J., & Paas, F. (2019). Supporting Self-Regulated Learning in Online Learning Environments and MOOCs: A Systematic Review. International Journal of Human-Computer Interaction, 35(4–5), 356–373. https://doi.org/10.1080/10447318.2018.1543084
Yang, R., & Wei, W. (2023). A Systematic Review of Language MOOCs: Research Design, Evidence, and Implications. Journal of Educational Technology and Innovation.
Zhu, M., Sari, A. R., & Lee, M. M. (2020). A comprehensive systematic review of MOOC research. Technology Research and Development, 68(4), 1685–1710. https://doi.org/10.2307/48727503
Zhu, M., Sari, A. R., & Lee, M. M. (2022). Trends and Issues in MOOC Learning Analytics Empirical Research: A Systematic Literature Review (2011–2021). Education and Information Technologies, 27(7), 10135–10160. https://doi.org/10.1007/s10639-022-11031-6
