Effect of Internet-Based Learning in Public Health Training: An Exploratory Meta-Analysis
International Association for Development of the Information Society (IADIS) International Conference on E-Learning,
Internet-based learning is increasingly applied in medical education, but its effect in the field of public health training is still unclear. This meta-analysis was undertaken to explore the impact of Internet-based learning on students'/professionals' knowledge of public health compared with no intervention and with traditional face-to-face (FTF) formats. Two reviewers independently searched Medline, Web of Science, ProQuest, Google scholar, ERIC and Elsevier databases for relevant studies between 1st January, 1990 and 30th December, 2016. Studies in English language providing information on educational outcomes after Internet-based training in public health courses compared with no-intervention or a pre-intervention assessment, or with FTF control group were retrieved, reviewed, and assessed according to the established inclusion/exclusion criteria in the current study. There were 16 eligible studies with 1183 participants in total. Heterogeneity in results was detected across studies. A random effects model was used to pool effect sizes for knowledge outcomes. The pooled effect size (standardized mean difference, SMD) in comparison to no intervention was 1.92 (95% CI: 1.05 to 2.78; P<0.0001), favoring Internet-based interventions. Compared with FTF formats, the pooled effect size was 0.39 (95% CI: -0.06 to 0.83; P = 0.09). The study suggested that Internet-based learning was superior to no-intervention in improving students'/professionals' public health knowledge. Compared with traditional FTF formats, Internet-based learning showed a similar effect. [For the complete proceedings, see ED579335.]
Peng, Y. & Yan, W. (2017). Effect of Internet-Based Learning in Public Health Training: An Exploratory Meta-Analysis. Presented at International Association for Development of the Information Society (IADIS) International Conference on E-Learning 2017.