TY - JOUR
T1 - The Virtual Teaching in Statistics Course in Higher Education
T2 - A Bibliometric Analysis and Systematic Literature Research
AU - Gaytan-Reyna, Karina L.
AU - Alvarado-Silva, Carlos A.
AU - Gaytan-Reyna, Sassy E.
AU - Gamarra-Rosado, Victor O.
AU - Silva, Fernando de Azevedo
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - 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.
AB - 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.
KW - digital platforms
KW - statistical methods
KW - virtual learning environments
KW - virtual teaching
UR - https://www.scopus.com/pages/publications/85188064241
U2 - 10.18178/ijiet.2024.14.2.2055
DO - 10.18178/ijiet.2024.14.2.2055
M3 - Review article
AN - SCOPUS:85188064241
SN - 2010-3689
VL - 14
SP - 333
EP - 344
JO - International Journal of Information and Education Technology
JF - International Journal of Information and Education Technology
IS - 2
M1 - 2055
ER -