Claims

PBL's examination-score advantage holds across student majors, publication years, and class sizes, but heterogeneity remains high in all subgroups

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q3 · i3 large
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i3 Subgroup analyses by student major, publication year, and student number all favor PBL (e.g., medicine SMD = 1.33; pharmacy SMD = 1.54; nursing SMD = 15.91), with high I2 values persisting. → Yang X 2024

Evidence

Yang X 2024

Yang X, Yang Z, Ma S, Yan M, Yang Y. (2024). Evaluation of problem-based learning for pharmacology based on a comprehensive analysis in undergraduate students. Medicine. https://doi.org/10.1097/MD.0000000000039376

q3 · i3 · quant-synthesis · r3

Subgroup analysis of examination scores across 3 variables (student major, publication year, student number) reported in Table 2, with printed standardized effect sizes per subgroup (e.g., "SMD = 1.33" for medicine). All subgroups favored PBL, but "High I2 values were still observed in the subgroup analyses, suggesting that heterogeneity remained".

"Through subgroup analysis, we also found that the PBL teaching method was beneficial for students from different majors, including medicine (SMD = 1.33, 95% CI [0.85, 1.81], P < .00001), pharmacy (SMD = 1.54, 95% CI [0.88, 2.19], P < .00001), and nursing (SMD = 15.91, 95% CI [9.77, 22.05], P < .00001)."

Discussion

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