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Thaís Cecília Fiamoncini

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#explainable ai Sep 2026

Oral reading fluency assessment assisted by AI: associations with executive functions and intelligence in schoolchildren.

OBJECTIVE Oral reading fluency is central to reading proficiency, yet its relationships with distinct cognitive domains remain unclear. This study investigated the associations between oral reading fluency, executive functions, and intelligence in schoolchildren. METHODS Students from the 2nd to the 5th grades (n = 106) were assessed through a standardized neuropsychological protocol. Reading fluency was measured using an artificial intelligence-based automated speech recognition system. Executive functions were assessed with phonemic verbal fluency (FAS), Go/No-Go, the Trail Making Test, and visuospatial working memory (Odd One Out). Intelligence was estimated through the Vocabulary and Matrix Reasoning subtests of the WASI. RESULTS Oral reading correlated with spontaneous flexibility (FAS; ρ = 0.317), inhibitory control errors (ρ = -0.396), reactive flexibility (TMT-B; ρ = -0.356), and working memory (ρ = 0.347; all p < .001). In an integrated regression adjusted for age and sex, inhibitory control (β = 0.327, p = .004) and working memory (β = 0.289, p = .005) were independent predictors, explaining 37.0% of the variance in words correct per minute. No associations emerged with intelligence. CONCLUSIONS Oral reading fluency depends not only on linguistic automaticity but also on executive mechanisms, particularly inhibitory control and working memory, involved in monitoring and regulating reading.

Rosana Vieira de Souza, Maiara da Silva Martins, Thaís Cecília Fiamoncini et al. · 0 citations

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