Claims

Learning outcome focus significantly moderates effects: knowledge outcomes benefit more than skills, attitudes, or ethics

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
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 i? Learning outcome is a significant moderator (F(4, 167) = 5.728, p < .001); knowledge and understanding of AI (g = 0.965) showed larger effects than attitudes (g = 0.676), skills (g = 0.672), and ethics (g = 0.635). → 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 · i? · quant-synthesis · r2

Moderator analysis across five learning-outcome categories in the meta-analysis. Knowledge outcomes showed the largest subgroup mean effect, with smaller but still statistically significant effects for attitudes, skills, and ethics (all p < .001).

"Learning outcome emerged as a significant moderator (F (4, 167) = 5.728, p < .001). The largest effects were observed for knowledge and understanding of AI (g = 0.965) and mixed learning outcomes (g = 0.858)"

Discussion

Page metadata
Field Value
type claim
id knowledge-outcomes-benefit-more-than-skills-ethics-attitudes
title Learning outcome focus significantly moderates effects: knowledge outcomes benefit more than skills, attitudes, or ethics
description Learning outcome focus significantly moderates effects: knowledge outcomes benefit more than skills, attitudes, or ethics
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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