Manuscript received June 28, 2023; revised July 31, 2023; accepted October 10, 2023; published February 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
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.