doi: 10.18178/ijiet.2024.14.2.2055
The Virtual Teaching in Statistics Course in Higher Education: A Bibliometric Analysis and Systematic Literature Research
Karina L. Gaytan-Reyna1
,
Carlos A. Alvarado-Silva1,* ,
Sassy E. Gaytan-Reyna2 ,
Victor O. Gamarra-Rosado3 ,
Fernando de Azevedo Silva3
- 1Research Group EVIGUI “Educación Virtual en Ingeniería utilizando GUIs”, Universidad César Vallejo (UCV), Trujillo, Perú
- 2Education Department, Universidad Nacional de Trujillo (UNT), Trujillo, Perú
- 3Mechanical Engineering Department, Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP), Sao Paulo, Brazil
- Manuscript receivedJune 28, 2023
- revisedJuly 31, 2023
- acceptedOctober 10, 2023
- publishedFebruary 23, 2024
Abstract
The research presents a bibliometric review aimed at understanding the most effective educational practices for teaching statistics in a virtual setting. It identifies the primary scopes, achievements, and challenges associated with this recent approach. To achieve this, the study explores articles published in journals indexed in databases like Scopus and Web of Science between 2017 and 2023. These articles offer recommendations based on evidence-backed pedagogical practices. Out of the scrutinized articles, 50 studies aligning with inclusion criteria were analyzed. These studies were subjected to a bibliometric approach and systematic literature research supported by the R bibliometrix software. This software was utilized to identify various research trends. Based on the study results, the analysis grouped teaching methods that exhibit greater efficacy in the virtual learning of the statistics.
Keywords
- virtual learning environments
- virtual teaching
- digital platforms
- statistical methods
How to Cite
Karina L. Gaytan-Reyna, Carlos A. Alvarado-Silva, Sassy E. Gaytan-Reyna, Victor O. Gamarra-Rosado, and Fernando de Azevedo Silva, "The Virtual Teaching in Statistics Course in Higher Education: A Bibliometric Analysis and Systematic Literature Research," International Journal of Information and Education Technology, vol. 14, no. 2, pp. 333-344, 2024. https://doi.org/10.18178/ijiet.2024.14.2.2055
Copyright & License
Copyright © 2024 by the authors. 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 (CC BY 4.0).