Claims

AI literacy interventions show a large, statistically significant overall positive effect on student AI literacy outcomes (g = 0.837)

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3 · i3 large
Currency · newest study 2026 · 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 i3 Educational interventions on AI literacy yield a large and statistically significant average effect of g = 0.837 across 59 studies and 172 effect sizes. → Suya Liu 2026

Evidence

Suya Liu 2026

Suya Liu, Ziyan Lin, Oi Lam Ng, Yijian Yang, Yun Dai. (2026). AI literacy interventions in education: A meta-analysis of effects and moderators. Educational Research Review. https://doi.org/10.1016/j.edurev.2026.100813

q3 · i3 · quant-synthesis · r2

Three-level random-effects meta-analysis of 59 (quasi-)experimental studies with 172 effect sizes from 7211 participants, using Hedges' g and REML estimation. The pooled estimate was "g = 0.837 (SE = 0.073, 95% CI [0.692, 0.982], t = 11.393, p < .001)".

"the three-level random-effects model yielded a large and statistically significant average effect of educational interventions on AI literacy, g = 0.837 (SE = 0.073, 95% CI [0.692, 0.982], t = 11.393, p < .001)"

Studies bearing on this claim

Does explicit instruction raise learners' AI and digital literacy, and for whom? This table gathers the studies behind this claim and the 14 narrower claims that bear on it: 11 distinct studies (8 causal, 1 quant-synthesis, 1 review, 1 qualitative), q2–q3, 5 of 11 with an effect size coded. One row per study, codes as each entry records them; no effect is averaged and no verdict is drawn. Built by scripts/synthesize_claim.py from eval/synthesis/; a row that looks wrong is fixed on the claim it comes from.

Study Design Effect as recorded Bears on this claim through
Suya Liu 2026 q3 · quant-synthesis · r2 i3; i? this claim; Effects of AI literacy interventions vary considerably across contexts, with most variance (qualifies); Instructional approach, AI technology type, assessment instrument, educational level, and (qualifies); Geographical region significantly moderates AI literacy intervention effects, with Europe (qualifies)
Digital Promise 2025 q2 · review · r2 i? The MIT DAILy curriculum significantly improved middle and early high school learners' AI (supports)
Jake Renzella 2026 q3 · causal · r1 i2; i? Both male and female students show statistically significant medium-sized gains in AI know (supports); Both genders improve in recognising AI's role in entertainment platforms after the worksho (supports)
Negar Kamali 2026 q3 · causal · r2 i? A 30-minute generative AI literacy training increased intelligence analysts' overall accur (supports); Training improved accuracy in every digital-forensics experience group and most generative (qualifies)
Demir 2025 q2 · causal · r2 i3 Fourth-graders receiving AI-enhanced media literacy instruction outperformed control-group (supports)
Alshehri OAO 2026 q2 · causal · r2 i3; i? Structured AI-supported writing instruction produced a very large posttest advantage in di (supports)
Reed Orchinik 2026 q3 · causal · r3 i? AI literacy warnings reduce LLM political persuasion by roughly one-half (meta-analytic -4 (supports)
Yu S 2026 q3 · causal · r3 i2 Thinking-based instruction produces higher AI literacy performance than skills-based instr (qualifies); Open-ended tasks produce higher AI literacy performance than structured tasks (qualifies)
Wineburg and McGrew 2019 q2 · qualitative · r? i? One-session checklist (CRAAP) instruction in source evaluation did no better than the alte (qualifies)
Lowe et al. 2021 q2 · causal · r1 i? One-session checklist (CRAAP) instruction in source evaluation did no better than the alte (qualifies)
Ratcliffe 2026 q2 · causal · r? i? One-session checklist (CRAAP) instruction in source evaluation did no better than the alte (qualifies)

Discussion

Page metadata
Field Value
type claim
id ai-literacy-interventions-large-overall-effect
title AI literacy interventions show a large, statistically significant overall positive effect on student AI literacy outcomes (g = 0.837)
description AI literacy interventions show a large, statistically significant overall positive effect on student AI literacy outcomes (g = 0.837)
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — suya-liu-2026

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