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领域一般性和领域特殊性对新兴数值认知的影响:单向和双向预测模型的对比。

Domain-general and domain-specific influences on emerging numerical cognition: Contrasting uni-and bidirectional prediction models.

机构信息

Department of Experimental Psychology, University of Oxford, United Kingdom.

Institute of Cognitive Science, Carleton University, Canada.

出版信息

Cognition. 2021 Oct;215:104816. doi: 10.1016/j.cognition.2021.104816. Epub 2021 Jul 3.

Abstract

Domain-general skills such as executive functions (EFs), and domain-specific skills such as non-symbolic number sense and symbolic understanding are often pitted against each other as predictors of emerging maths. Here we aimed to investigate early childhood relations between these foundational skills with a balanced, longitudinal design. One hundred and seventy 3- and 4-year-old-children were tested at two time points, 5 months apart, on four domain-general executive and five domain-specific numeracy tasks. A latent EF factor was a strong predictor of symbolic maths and of their growth. In addition, stronger symbolic maths at Time 1 was correlated with later stronger EF, but symbolic maths did not predict EF growth. Our findings provide novel insights into dynamic interplay between general and specific cognitive skills contributing to preschool maths.

摘要

领域一般性技能,如执行功能(EFs),以及领域特异性技能,如非符号数字感和符号理解,通常被视为新兴数学的预测指标。在这里,我们旨在通过平衡的纵向设计研究这些基础技能之间的早期儿童关系。170 名 3 岁和 4 岁的儿童在 5 个月的时间内进行了四次领域一般性执行功能和五次领域特异性计算任务的测试。潜在的 EF 因素是符号数学及其增长的强有力预测指标。此外,在时间 1 时更强的符号数学与后来更强的 EF 相关,但符号数学并没有预测 EF 的增长。我们的研究结果为普遍和特定认知技能之间的动态相互作用提供了新的见解,这些技能有助于学前数学。

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