Effectiveness synchronous e-learning in nursing education: A meta-analysis and subgroup analysis

Aim

This study aimed to identify the best available evidence of the effects of synchronous e-learning in nursing education through a meta-analysis and to compare mean effect sizes between study subgroups.

Background

With the rapid development of synchronous e-learning, adequate preparation is essential, as the formulation of effective educational strategies is crucial for learners’ success. However, rather than focusing solely on using technology to implement e-learning, instructors should design education programs that meet learning objectives while considering appropriate technologies and types of interactions.

Design

A meta-analysis and a subgroup analysis were conducted.

Methods

English and Chinese databases including PubMed, Embase, CINAHL, Web of Science, Cochrane Library and China National Knowledge Infrastructure were searched for relevant articles published between the inception of these databases through May 2023. The search included the establishment of these databases up until May 2023. Using a search strategy, we identified 3273 potentially relevant articles. Ten primary studies were included in the final analysis. We used random effect models to synthesize effect size (ES) and accommodate heterogeneity for the main effect. Sub-group analyses were conducted to analyze the variations in effect size to investigate possible causes of heterogeneity.

Results

We found synchronous e-learning to be more effective compared with the control groups, with a pooled random-effects standardized mean difference of 0.51, which is a medium effect size. Regarding learning outcomes, the effect size of reactions to learning (ES = 0.91, confidence interval [CI] = 0.14, 1.67) was higher than that of the psychomotor domain (ES = 0.57, CI = 0.17, 0.98), cognitive domain (ES = 0.63, CI = 0.11, 1.15) and affective domain (ES = 0.40, CI = 0.03, 0.76). In terms of interaction types and study characteristics were more effective if the studies included learner–learner interaction (ES = 0.83, CI = 0.36, 1.29), developed regions (ES = 0.55, CI = 0.17, 0.94), undergraduate nursing students (ES = 0.56, CI = 0.32, 0.80), no randomization (ES = 0.75, CI = 0.40, 1.10) and funding support (ES = 0.78, CI = 0.41, 1.16).

Conclusions

Well-designed synchronous e-learning courses should consider learners’ motivations and self-directed learning abilities by providing diverse learning resources and environments. Nurse educators should develop synchronous e-learning teaching strategies that include peer interaction. The affective domain of learning in synchronous e-learning needs to be developed and considered in future research.