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Когнитивные предикторы академической успешности: как общие закономерности «работают» на ранних этапах образования?
Психологическая наука и образование. 2022. Т. 27. № 2. С. 42–52.
Двойнин А.М, Троцкая Е. С.
The article provides an overview of modern works devoted to the study of cognitive predictors of academic success. The general patterns of forecasting are revealed: the most powerful and universal predictor of academic success at different stages of school education is psychometric intelligence; creativity is less significant and rather unstable. It is argued that these patterns are poorly traced at the level of preschool education. Particular cognitive functions are significant for predicting the future educational achievements of preschoolers: information processing speed, visual perception (in combination with motor functions), short-term memory, and attention. Spatial abilities have a certain prognostic potential, though reasoning in preschoolers is not a strong predictor of academic success; executive functions have the greatest predictive power. It is noted that the general patterns in predicting the academic success of students can be traced in elementary school: the predictive potentials of psychometric intelligence are revealed, the power of individual cognitive abilities (in particular, spatial abilities) increases, the contribution of executive functions to the prediction decreases. The general tendency for non-cognitive factors (educational motivation, some personality traits) to increase with age also begins to appear in elementary school.
Keywords: дошкольное образованиекреативностьcreativityintelligenceинтеллектacademic performanceакадемическая успешностьacademic achievementакадемическая успеваемостьучебные достиженияначальная школаpre-school educationacademic successexecutive functionselementary schoolкогнитивные предикторыCognitive predictorsspatial abilitiesearly stages of education
Medushevsky A. N., Liberal.ru 2026
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Vlasenko D., Saranskaia I., Zakharov D., European Physical Journal: Special Topics 2026 P. 1–16
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Diachkova M., Lelik V., Dorofeeva S. et al., Language Resources and Evaluation 2026 Vol. 60 Article 68
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Abstract
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