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Data catalog & quality metrics

Deep layer of the meta-study with direct references to effect sizes, sample sizes, and quality criteria. Powered by DataTables for quick sorting and exploration.

Years covered

2012–2024

Updated twice per year.

Total sample

268k

Learners across global regions.

Quality rating

84%

Studies with low risk of bias.

Data views

Switch between the full catalog and a quality-focused listing with methodological filters.

Study Region Field n Effect d Year
LEARN-Global Europe Reading 12,450 0.47 2023
STEM-Boost North America Mathematics 18,230 0.52 2022
Future Skills APAC Digital literacy 9,870 0.39 2021
MetaCog-24 Europe Metacognition 6,110 0.58 2024
Inclusion Labs Global Inclusion 22,004 0.31 2020
Study Design Peer review Bias risk Replications
LEARN-Global Randomized Yes Very low 3
STEM-Boost Quasi-experimental Yes Low 2
Future Skills Mixed methods Under review Moderate 1
MetaCog-24 Randomized Yes Very low 2
Inclusion Labs Longitudinal Yes Moderate 2