School level significantly moderates effects: AI-enabled personalized STEM education is more effective in junior and senior high school than in kindergarten¶
Claim · All claims
Evidence · 1 study · quant-synthesisr2·q4·i2medium
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 i2 Mean effect sizes differed significantly among school levels (QB = 16.116, p = 0.001), with senior high school showing the largest effect (g = 0.534) and kindergarten the smallest (g = 0.118). → 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 · i2 · quant-synthesis · r2
Subgroup analysis across school levels within the meta-analysis of 99 effect sizes. Elementary (g = 0.423), junior high (g = 0.471), and senior high (g = 0.534) all showed significant effects, while kindergarten yielded "a significant but relatively small effect size (g = 0.118, p = 0.033)".
"QB statistic (QB = 16.116, p = 0.001) indicates the mean effect sizes differed significantly among varying school levels."
Discussion¶
Related Claims¶
- 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
- The effect of ChatGPT on learning performance is moderated by type of course, learning model, and duration, with problem-based learning and 4–8-week interventions showing the largest effects — related
- Subject significantly moderates effects, with AI-enabled personalized STEM education most effective in comprehensive courses (g = 2.161) — related
- AR/VR tools show the largest effect among AI application types (g = 1.765), while ITS and personalized educational games show small effects — related
- GAI-related and GAI-unrelated AI tools show no significant difference in their moderating effects on K-12 STEM learning outcomes — related
- Personalized learning models combining classroom use with student-centered pedagogies (Model C) exert larger effects than fully automated platforms (Model A) — related
- Coaching effects do not differ significantly across school levels, and in-person versus virtual delivery shows no significant difference — related
- ITS produce significant positive effects at all grade levels and in almost all subject domains evaluated, with exceptions such as chemistry — related
- The effect of SRL interventions does not differ significantly by course type, SRL strategy type, school level, or learning context — reports the opposite
- Neither grade level nor outcome type significantly moderates the effects of Spanish reading programs — reports the opposite
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
school-level-moderates-ai-stem-effects |
title |
School level significantly moderates effects: AI-enabled personalized STEM education is more effective in junior and senior high school than in kindergarten |
description |
School level significantly moderates effects: AI-enabled personalized STEM education is more effective in junior and senior high school than in kindergarten |
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 |
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