GAI-related and GAI-unrelated AI tools show no significant difference in their moderating effects on K-12 STEM learning outcomes¶
Claim · All claims
Evidence · 1 study · quant-synthesisr2·q4
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.
q4 i? GAI usage did not significantly moderate effect sizes (QB = 0.058, p = 0.810); both GAI-related (g = 0.430) and GAI-unrelated (g = 0.460) tools showed significant effects. → Li 2025
Evidence¶
Li 2025¶
Li, S., Zeng, C., Liu, H., Jia, J., Liang, M., Cha, Y., Lim, C. P., & Wu, X. (2025). A meta-analysis of AI-enabled personalized STEM education in schools. International Journal of STEM Education. https://doi.org/10.1186/s40594-025-00566-y
q4 · i? · quant-synthesis · r2
Subgroup analysis comparing GAI-related tools (k = 21) with GAI-unrelated tools (k = 78) in the meta-analysis. Both types showed significant positive effects with "no statistically significant distinction between their impacts"; equivalence was not tested.
"There is no significant difference between GAI-related and GAI-unrelated tools in their effects on students' STEM learning (QB = 0.058, p = 0.810)."
Discussion¶
Related Claims¶
- AR/VR tools show the largest effect among AI application types (g = 1.765), while ITS and personalized educational games show small effects — related
- Structural paths did not differ significantly across AI usage-frequency groups, though exploratory coefficients varied numerically — related
- School level significantly moderates effects: AI-enabled personalized STEM education is more effective in junior and senior high school than in kindergarten — related
- AI-enabled personalized STEM education yields a statistically significant overall effect of g = 0.455, which its authors class as small, compared with traditional non-AI instruction in K-12 schools — related
- Sample size category (21–40 vs. >40 participants) does not significantly moderate GenAI writing effects — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
gai-usage-no-moderating-effect |
title |
GAI-related and GAI-unrelated AI tools show no significant difference in their moderating effects on K-12 STEM learning outcomes |
description |
GAI-related and GAI-unrelated AI tools show no significant difference in their moderating effects on K-12 STEM learning outcomes |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-15 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — li-2025 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.