Metacognitive efficiency at Grade 1 predicts children's performance improvement 10 months later in both a linguistic and a non-linguistic task¶

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2022 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q3 i? Time-1 metacognitive efficiency also significantly predicted improvement in the non-linguistic emotion recognition task (OLS p=0.035; robust regression p=0.018; BF inclusion=1.386). → Ioanna Taouki 2022

Evidence¶

Ioanna Taouki 2022¶

Ioanna Taouki, Marie Lallier, David Soto. (2022). The role of metacognition in monitoring performance and regulating learning in early readers. Metacognition and Learning. https://doi.org/10.1007/s11409-022-09292-0

q3 · i? · associational · r2

The same regression models applied to the emotion recognition task showed metacognitive efficiency at time 1 predicted improvement across domains; with age and IQ as nuisance predictors, BF inclusion remained 3.003 (lexical decision) and 2.639 (emotion recognition).

"emotion recognition: Ordinary least squares: p=0.035, Hubert robust regression: p= 0.018, Bayesian regression: BFinclusion=1.386"

Discussion¶

Related Claims¶

• Metacognitive confidence judgments and control predict English vocabulary performance from the beginning to the end of the school year in primary school children — related
• The ability to identify basic emotions from non-linguistic vocal bursts improves significantly with age from 5 to 17 years — related
• Over six months, English vocabulary, relative monitoring accuracy and metacognitive control improved, and boredom increased, while enjoyment and anxiety showed no significant change — related
• Metacognitive efficiency shows partial domain-general structure: strong shared metacognition between lexical decision and emotion recognition tasks — related