Claims

Educational apps produce effects about 0.17 SD higher on constrained than unconstrained skills

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3 · i1 small
Currency · newest study 2021 · 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 i1 Controlling for grade and assessment type, apps showed larger effects on constrained skills (predicted g = 0.31) than unconstrained skills (g = 0.14). → James Kim 2021

Evidence

James Kim 2021

James Kim, Joshua Gilbert, Qun Yu, Charles Gale. (2021). Measures Matter: A Meta-Analysis of the Effects of Educational Apps on Preschool to Grade 3 Children's Literacy and Math Skills. AERA Open. https://doi.org/10.1177/23328584211004183

q3 · i1 · quant-synthesis · r2

Final RVE meta-regression model (Model 5, Table 6) after removing nonsignificant moderators; constrained outcome coefficient 0.173, p < .01. Figure 2 predicted means: constrained g = 0.31 vs. unconstrained g = 0.14.

"educational apps produced mean effects that were approximately 0.17 SDs higher on constrained skills than on unconstrained skills (within or between studies), controlling for participant grade and the type of outcome assessment"

Discussion

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