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解开成人数学和算术成就中符号数字处理的机制。

Disentangling the Mechanisms of Symbolic Number Processing in Adults' Mathematics and Arithmetic Achievement.

机构信息

Department of Developmental and Educational Psychology, Faculty of Education, University of Salamanca.

Center for Research in Child Development, National Institute of Education, Nanyang Technological University.

出版信息

Cogn Sci. 2019 Jan;43(1). doi: 10.1111/cogs.12711.

DOI:10.1111/cogs.12711
PMID:30648799
Abstract

A growing body of research has shown that symbolic number processing relates to individual differences in mathematics. However, it remains unclear which mechanisms of symbolic number processing are crucial-accessing underlying magnitude representation of symbols (i.e., symbol-magnitude associations), processing relative order of symbols (i.e., symbol-symbol associations), or processing of symbols per se. To address this question, in this study adult participants performed a dots-number word matching task-thought to be a measure of symbol-magnitude associations (numerical magnitude processing)-a numeral-ordering task that focuses on symbol-symbol associations (numerical order processing), and a digit-number word matching task targeting symbolic processing per se. Results showed that both numerical magnitude and order processing were uniquely related to arithmetic achievement, beyond the effects of domain-general factors (intellectual ability, working memory, inhibitory control, and non-numerical ordering). Importantly, results were different when a general measure of mathematics achievement was considered. Those mechanisms of symbolic number processing did not contribute to math achievement. Furthermore, a path analysis revealed that numerical magnitude and order processing might draw on a common mechanism. Each process explained a portion of the relation of the other with arithmetic (but not with a general measure of math achievement). These findings are consistent with the notion that adults' arithmetic skills build upon symbol-magnitude associations, and they highlight the effects that different math measures have in the study of numerical cognition.

摘要

越来越多的研究表明,符号数字处理与数学个体差异有关。然而,目前尚不清楚符号数字处理的哪些机制是至关重要的——是访问符号的底层数量表示(即符号-数量关联)、处理符号的相对顺序(即符号-符号关联),还是处理符号本身。为了解决这个问题,在这项研究中,成年参与者执行了一个点-数字单词匹配任务——被认为是衡量符号-数量关联的一种方法(数量加工)、一个专注于符号-符号关联的数字排序任务(数字顺序加工),以及一个针对符号本身的数字-数字单词匹配任务。结果表明,数量和顺序加工都与算术成绩有关,这超出了领域一般性因素(智力、工作记忆、抑制控制和非数量排序)的影响。重要的是,当考虑到一般的数学成绩衡量标准时,结果是不同的。这些符号数字处理机制对数学成绩没有贡献。此外,路径分析表明,数量和顺序加工可能依赖于共同的机制。每个过程都解释了另一个过程与算术成绩之间关系的一部分(但与一般的数学成绩衡量标准无关)。这些发现与成年人的算术技能建立在符号-数量关联的概念上是一致的,并且它们强调了不同的数学测量方法在数量认知研究中的影响。

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Concepts of order: Why is ordinality processed slower and less accurately for non-consecutive sequences?顺序概念:为何对于非连续序列,顺序性的处理速度更慢且准确性更低?
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