ArticleJMIR research protocols2026
Constructivist Learning Theory-Based Teaching Methods in Nursing Education in China: Protocol for a Systematic Review and Meta-Analysis.
Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The cognitive paradigm in medical education is undergoing a transition from traditional knowledge transmission to learner-centered knowledge construction. In China, this shift is aligned with the Outline of the Plan for the Construction of China into an Education Powerhouse (2024-2035), which mandates high-quality, intrinsic development in nursing curricula. While constructivist learning theory (CLT)-based teaching methods (eg, problem-based learning, case-based learning, and situational simulation) have been widely explored across Chinese nursing institutions, the evidentiary base remains geographically fragmented and methodologically heterogeneous. A systematic synthesis is required to inform national, evidence-based educational reforms. Objective: This protocol describes a systematic review and meta-analysis designed to evaluate the effectiveness of CLT-based teaching methods vs traditional lecture-based models on Chinese nursing students' theoretical knowledge, practical skills, self-directed learning ability, and critical thinking disposition. Methods: A comprehensive systematic search will be conducted across 9 electronic databases: PubMed, Web of Science, the Cochrane Library, Embase, CINAHL, China National Knowledge Infrastructure, Wanfang Data, VIP Database (Chinese Scientific and Technological Journal Database), and China Biology Medicine. The search period spans from database inception to September 27, 2025, with a planned update through June 11, 2026, before final synthesis. Randomized controlled trials and quasi-experimental studies involving Chinese nursing students will be included. Two independent reviewers will screen records, perform full-text assessment, extract data using standardized forms, and code composite CLT interventions, digital or technology-enhanced components, and cluster- or class-based designs using prespecified decision rules. Risk of bias will be assessed using the Cochrane Risk of Bias tool 2 (RoB 2) for randomized trials and the Joanna Briggs Institute critical appraisal tools for quasi-experimental studies. Meta-analysis will be performed using RevMan 5.4 and Stata 18.0, with random-effects models and prespecified subgroup and sensitivity analyses. Results: This protocol was finalized in February 2026. A preliminary systematic search conducted on September 27, 2025, identified 990 records before deduplication. As of February 6, 2026, deduplication had been completed and title and abstract screening had been initiated. Data extraction, risk-of-bias assessment, and statistical synthesis had not yet started at the protocol stage and will be conducted only after completion of the updated search, final study selection, and full-text eligibility assessment. The final search update was scheduled through June 11, 2026, before data synthesis. The results manuscript will be submitted after completion of all prespecified review steps, with the timeline depending on the number and complexity of newly identified studies. Conclusions: This review will provide a robust evidentiary foundation for the strategic deployment of constructivist methodologies in Chinese nursing education, specifically addressing the needs of vocational and undergraduate programs in the era of digital transformation.
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