Use of machine learning in virtual learning environments: A bibliometric review

Alejandro Valencia-Arias; Ezequiel Martínez Rojas; Sebastián Cardona-Acevedo; Leonel Alcides Castañeda-Peláez

doi:10.29333/ejmste/16806

Alejandro Valencia-Arias ¹ ^* , Ezequiel Martínez Rojas ² , Sebastián Cardona-Acevedo ³ , Leonel Alcides Castañeda-Peláez ⁴

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¹ Escuela de Ingeniería Industrial, Universidad Señor de Sipán, PERU² Vicerrectoría de Investigación e Innovación, Universidad Arturo Prat, Iquique, CHILE³ Facultad de Ciencias Económicas y Administrativas, Instituto Tecnológico Metropolitano, Medellín, COLOMBIA⁴ Administración, Universidad Pontificia Bolivariana, Medellín, COLOMBIA^* Corresponding Author

Abstract

The efficacy of machine learning (ML) in anticipating and enhancing the learning process of students within various educational contexts has been empirically demonstrated. The research focuses on the use of ML in virtual learning environments, with the objective of improving the effectiveness and personalization of online education. In order to achieve this, it is necessary to examine research trends in this field. Some areas demonstrate the need for a complete bibliography, which is the reason for this objective. The methodology employed a bibliometric analysis, conducted in accordance with the PRISMA 2020 guidelines, utilizing data sourced from Scopus and Web of Science. The results indicate an increase in the production of articles, with a particular focus on topics such as student participation and random forest.

Keywords

dynamic adaptability
PRISMA 2020
artificial intelligence
personalization of education
educational technology

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

EURASIA J Math Sci Tech Ed, Volume 21, Issue 9, September 2025, Article No: em2695

https://doi.org/10.29333/ejmste/16806

Publication date: 01 Sep 2025

Online publication date: 22 Aug 2025

Article Views: 25

Article Downloads: 15

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How to cite this article

APA

Valencia-Arias, A., Martínez Rojas, E., Cardona-Acevedo, S., & Castañeda-Peláez, L. A. (2025). Use of machine learning in virtual learning environments: A bibliometric review. Eurasia Journal of Mathematics, Science and Technology Education, 21(9), em2695. https://doi.org/10.29333/ejmste/16806

Vancouver

Valencia-Arias A, Martínez Rojas E, Cardona-Acevedo S, Castañeda-Peláez LA. Use of machine learning in virtual learning environments: A bibliometric review. EURASIA J Math Sci Tech Ed. 2025;21(9):em2695. https://doi.org/10.29333/ejmste/16806

AMA

Valencia-Arias A, Martínez Rojas E, Cardona-Acevedo S, Castañeda-Peláez LA. Use of machine learning in virtual learning environments: A bibliometric review. EURASIA J Math Sci Tech Ed. 2025;21(9), em2695. https://doi.org/10.29333/ejmste/16806

Chicago

Valencia-Arias, Alejandro, Ezequiel Martínez Rojas, Sebastián Cardona-Acevedo, and Leonel Alcides Castañeda-Peláez. "Use of machine learning in virtual learning environments: A bibliometric review". Eurasia Journal of Mathematics, Science and Technology Education 2025 21 no. 9 (2025): em2695. https://doi.org/10.29333/ejmste/16806

Harvard

Valencia-Arias, A., Martínez Rojas, E., Cardona-Acevedo, S., and Castañeda-Peláez, L. A. (2025). Use of machine learning in virtual learning environments: A bibliometric review. Eurasia Journal of Mathematics, Science and Technology Education, 21(9), em2695. https://doi.org/10.29333/ejmste/16806

MLA

Valencia-Arias, Alejandro et al. "Use of machine learning in virtual learning environments: A bibliometric review". Eurasia Journal of Mathematics, Science and Technology Education, vol. 21, no. 9, 2025, em2695. https://doi.org/10.29333/ejmste/16806