Open AccessCOVID-19 Pandemic and E-Learning Satisfaction in Medical and Non-Medical Student: A Systematic Review and Meta-Analysis
Author(s) -
Kobra Nakhoda,
Soleiman Ahmady,
Mohammad Gholami Fesharaki,
Nasim Gheshlaghi Azar
Publication year - 2021
Publication title -
iranian journal of public health
Language(s) - English
Resource type - Journals
eISSN - 2251-6093
pISSN - 2251-6085
DOI - 10.18502/ijph.v50i12.7933
Subject(s) - scopus , meta analysis , pandemic , covid-19 , medical education , medline , distance education , web of science , e learning , medicine , psychology , the internet , computer science , world wide web , mathematics education , political science , disease , infectious disease (medical specialty) , law
Background: The COVID-19 pandemic has led to a rapid shift in student education style from face-to-face to electronic learning. Since the education satisfaction index is considered as a measure of the quality of educational services, therefore, this study aimed to assess E-Learning Satisfaction (ELS) in medical and non-medical students during COVID-19 pandemic.
Methods: Articles that had been published from 22 Dec 2019 to 4 Jan 2021 were identified through searching databases including PubMed, Scopus, Elsevier, Google Scholar, Web of Science and Iranian Scientific Information Database (SID), Health.barakatkns, IranDoc, Civilica and MagIran using the following keywords: “Distance learning”, “Virtual learning”, “E-Learning”, “Satisfaction”, “COVID 19”. We systematically reviewed all studies that reported ELS. In this study, meta-analysis was used to estimate the pooled ELS.
Results: Overall, 184 records were identified by the electronic search, of which 24 relevant studies were included in meta-analysis. The pooled ELS in medical, non-medical and overall were 58.1% (50.5%-65.7%), 70.1% (66.8%-73.5%) and 63.8% (58.9%-68.8%) respectively.
Conclusion: According to our results and lower ELS in medical students in comparison with non-medical students, designing new E-Learning methods for medical students has been suggested.