Claims

AI-powered PBL/CBL significantly improves students' knowledge acquisition compared with PBL/CBL without AI or traditional lectures

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
Currency · newest study 2025 · 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 i? Meta-analysis of four RCTs found AI intervention significantly improved knowledge acquisition versus control (95% CIs [0.18-0.73], P = .001) with low heterogeneity (I² = 20%); no pooled point estimate was printed. → Wei H 2025

Evidence

Wei H 2025

Wei H, Dai Y, Yuan K, Li KY, Hung KF, Hu EM, Lee AHC, Chang JWW, Zhang C, Li X. (2025). AI-Powered Problem- and Case-based Learning in Medical and Dental Education: A Systematic Review and Meta-analysis. International Dental Journal. https://doi.org/10.1016/j.identj.2025.100858

q3 · i? · quant-synthesis · r2

Meta-analysis (RevMan 5.4) of four RCTs using objective examinations, with 110 AI-assisted and 102 control students; fixed-effect model after low heterogeneity (P = .29, "I² = 20%"). The article prints no pooled SMD point estimate, only the 95% CI.

"The overall result showed that AI intervention significantly improved students’ knowledge acquisition by 46% when compared to the control group (95% Cls [0.18-0.73], P = .001)."

Discussion

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