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Executive Functions in the Prediction of Academic Performance in Elementary Education

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NIAID Data Ecosystem2026-03-13 收录
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https://figshare.com/articles/dataset/Executive_Functions_in_the_Prediction_of_Academic_Performance_in_Elementary_Education/19969750
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Abstract The study investigated predictive models of reading and arithmetic based on performance and functional measures of executive functions (EF’s). Ninety-four children (mean age = 6.14y) were evaluated through EF performance tests. Parents and teachers responded to a functional measure of EF. Two years later, children’s reading and arithmetic were evaluated. There were low correlations between EF and later academic performance. For the reading model, inhibition was a relevant variable, with no gain in the prediction with the joint consideration of different EF measures. For arithmetic, attention and delay aversion presented a relevant contribution. When functional measure was considered, the model’s prediction increased. The study indicated skills of interest in identifying children at risk of poor academic performance.
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2022-06-01
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