Claims

ITS effects are similar for low-achieving students and the general student population

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · 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? Effect sizes were similar across studies targeting disadvantaged groups, including low achievers (g=0.270) and the general population (g=0.216). → Walter L. Leite 2025

Evidence

Walter L. Leite 2025

Walter L. Leite, Huibin Zhang, Shibani Rana, Yide Hao, Amber D. Hatch, Lingchen Kong, Huan Kuang. (2025). Do intelligent tutoring systems benefit K-12 students? A meta-analysis and evaluation of heterogeneity of treatment effects in the U.S. https://arxiv.org/abs/2511.04997

q3 · i? · quant-synthesis · r3

Subgroup meta-regression across student disadvantage targeting levels. Low achievers (21 effect sizes) showed a significant effect of g=0.270; the general population (48 effect sizes) showed a smaller but significant g=0.216. The authors report these magnitudes as close.

"Also, the effect sizes were similar across studies targeting disadvantaged groups: English Learner students (g=0.266), students in poverty (g=0.303), and low achievers (g=0.270)."

Discussion

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