Claims

GAI-based teaching outperforms traditional teaching in practical skill development

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3 · i2 medium
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 i2 GAI-based teaching produced significantly higher skill scores than traditional teaching (SMD 0.63, 95% CI 0.10–1.16; p = 0.02), based on only two studies. → Li Juan 2025

Evidence

Li Juan 2025

Li Juan, Yin Kaiyu, Wang Yida, Jiang Xiaoqin, Chen Dongxu. (2025). Effectiveness of generative artificial intelligence-based teaching versus traditional teaching methods in medical education: a meta-analysis of randomized controlled trials. BMC Medical Education. https://doi.org/10.1186/s12909-025-07750-2

q3 · i2 · quant-synthesis · r2

Random-effects meta-analysis of skill scores from two RCTs (52 GAI-based and 51 traditional students). The pooled effect size was SMD = 0.63 (95% CI 0.10–1.16, p = 0.02, I² = 43%). The article flags the small study count as a limitation.

"the meta-analysis, which involved only two studies (52 GAI-based students and 51 traditional teaching students), showed that the GAI-based teaching had significantly higher skill scores compared to the traditional teaching method (SMD 0.63, 95% CI 0.10 to 1.16; p = 0.02; I² = 43%)"

Discussion

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