Virtual education during the Covid-19 pandemic. A bibliometric review.
Main Article Content
Keywords
Virtual education, Covid-19, Learning, Bibliometrics
Abstract
The purpose of this review article, from the perspective of bibliometric analysis, is to know and understand the evolution of virtual education in the different areas of knowledge, from the appearance of the SARS-CoV-2 coronavirus virus, which has been declared as a pandemic by the World Health Organization (WHO). In the bibliometric analysis carried out, a systematic approach is applied, using the SCOPUS databases and to represent the data, the visualization software VOSViewer and Power BI. An exploratory analysis of the co-authors is carried out, journals that publish the most articles referring to virtual education since the appearance of covid-19, analysis of institutions, analysis of co-citation, countries with the most published documents and co-occurrence of keywords. The results provide an overview of virtual education during the covid-19 pandemic, show a growing interest from the scientific community and reveal complete bibliometric data on the main authors, affiliations and areas of knowledge in which more documents are published on the theme.
References
Brito Carrillo, C. J., Pinto Aragón, E. E., & Muñoz Rojas, D. (2021). Aislamiento social por covid-19 en la afectación de la salud mental: caso Universidad de la Guajira. Revista Boletín Redipe, 10(7), 272–289. https://doi.org/10.36260/rbr.v10i7.1364
Cancino, C., Merigó, J. M., Coronado, F., Dessouky, Y., & Dessouky, M. (2017). Forty years of Computers & Industrial Engineering: A bibliometric analysis. Computers & Industrial Engineering, 113, 614–629. https://doi.org/10.1016/j. cie.2017.08.033
David, D., Ebratt, A., Armando, N., Olivera, G., & Norte, U. (2021). En tiempos de coronavirus : ¿Cuáles son los factores que aumentaron los niveles de estrés en los docentes? Revista Boletín Redipe, 10(8), 422–429. https://doi.org/10.36260/rbr. v10i8.1416
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
García-Villar, C., & García-Santos, J. M. (2021). Indicadores bibliométricos para evaluar la actividad científica. Radiología, 63(3), 228–235. https://doi.org/10.1016/j. rx.2021.01.002
Hodges, C., Moore, S., Lockee, B., Trust, T., & Bond, A. (2021). The difference between emergency remote teaching and online learning. Educause Review. https:// er.educause.edu/articles/2020/3/thedifference-between-emergency-remoteteaching-and-online-learning
Iglesias-Pradas, S., Hernández-García, Á., Chaparro-Peláez, J., & Prieto, J. L. (2021). Emergency remote teaching and students’ academic performance in higher education during the COVID-19 pandemic: A case study. Computers in Human Behavior, 119, 106713. https://doi.org/10.1016/j. chb.2021.106713
Motta Totena, E. P., & Rivera Franco, J. E. (2021). Análisis bibliométrico de la producción científica: Educación inclusiva y necesidades educativas especiales como aristas investigativas. Revista Boletín Redipe, 10(6), 126–151. https://doi. org/10.36260/rbr.v10i6.1316
Ojeda-Beltrán, A., Ortega-Alvarez, D. D., & Boom-Cárcamo, E. A. (2020). Análisis de la percepción de estudiantes presenciales acerca de clases virtuales como respuesta a la crisis del covid-19. Espacios, 41(42), 81–92. https://doi.org/10.48082/espaciosa20v41n42p07
Pérez, C., Suárez, R., & Rosillo, N. (2018). La educación virtual interactiva, el paradigma del futuro. Atenas, 4(44), 9. https://www.redalyc.org/articulo. oa?id=478055154009%0Ahttp://atenas. mes
Smalley, A. (2020). Higher education responses to coronavirus (COVID-19) (2020). National Conference of State Legislatures. https:// www.ncsl.org/research/education/highereducation-responses-to-coronaviruscovid-19.aspx
Su, M., Peng, H., & Li, S. (2021). A visualized bibliometric analysis of mapping research trends of machine learning in engineering (MLE). Expert Systems with Applications, 186, 115728. https://doi.org/10.1016/j. eswa.2021.115728
Tao, J., Qiu, D., Yang, F., & Duan, Z. (2020). A bibliometric analysis of human reliability research. Journal of Cleaner Production, 260, 121041. https://doi.org/10.1016/j. jclepro.2020.121041
Vallaster, C., Kraus, S., Merigó Lindahl, J. M., & Nielsen, A. (2019). Ethics and entrepreneurship: A bibliometric study and literature review. Journal of Business Research, 99, 226–237. https://doi. org/10.1016/j.jbusres.2019.02.050
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
Xu, Z., Ge, Z., Wang, X., & Skare, M. (2021). Bibliometric analysis of technology adoption literature published from 1997 to 2020. Technological Forecasting and Social Change, 170, 120896. https://doi. org/10.1016/j.techfore.2021.120896