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Measures Matter: A Meta-Analysis of the Effects of Educational Apps on Preschool to Grade 3 Children’s Literacy and Math Skills
Author(s) -
James S. Kim,
Joshua B. Gilbert,
Qun Yu,
Charles Gale
Publication year - 2021
Publication title -
aera open
Language(s) - English
Resource type - Journals
ISSN - 2332-8584
DOI - 10.1177/23328584211004183
Subject(s) - meta analysis , moderation , psychology , literacy , intervention (counseling) , variance (accounting) , multilevel model , random effects model , meta regression , regression analysis , standardized test , developmental psychology , mathematics education , statistics , mathematics , social psychology , pedagogy , medicine , business , psychiatry , accounting
Thousands of educational apps are available to students, teachers, and parents, yet research on their effectiveness is limited. This meta-analysis synthesized findings from 36 intervention studies and 285 effect sizes evaluating the effectiveness of educational apps for preschool to Grade 3 children and the moderating role of methodological, participant, and intervention characteristics. Using random effects meta-regression with robust variance estimation, we summarized the overall impact of educational apps and examined potential moderator effects. First, results from rigorous experimental and quasi-experimental studies yielded a mean weighted effect size of +0.31 standard deviations on overall achievement and comparable effects in both math and literacy. Second, the positive overall effect masks substantial variability in app effectiveness, as meta-regression analyses revealed three significant moderators of treatment effects. Treatment effects were larger for studies involving preschool rather than K–3 students, for studies using researcher-developed rather than standardized outcomes, and for studies measuring constrained rather than unconstrained skills.

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