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Training the Approximate Number System Improves Math Proficiency

机译:训练近似数字系统可提高数学水平

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摘要

Humans share with nonhuman animals an approximate number system (ANS) that permits estimation and rough calculation of number without symbols. Recent studies show a correlation between the acuity of the ANS and symbolic math performance throughout development and into adulthood, suggesting that the ANS may serve as a cognitive foundation for the uniquely human capacity for symbolic mathematics. Such a proposition leads to the untested prediction that training aimed at improving ANS performance will transfer to improvement in symbolic mathematics. Here, in two experiments, we show that ANS training on approximate addition and subtraction of arrays of dots, selectively improves symbolic addition and subtraction. This finding strongly supports the hypothesis that complex math skills are fundamentally linked to rudimentary preverbal quantitative abilities, provides the first direct evidence that ANS and symbolic math may be causally related, and raises the possibility that interventions aimed at the ANS could benefit children and adults who struggle with math.
机译:人类与非人类动物共享一个近似数字系统(ANS),该系统可以估计和粗略计算没有符号的数字。最近的研究表明,ANS的敏锐度与整个发育过程以及成年后的符号数学表现之间存在相关性,这表明ANS可以作为人类独特的符号数学能力的认知基础。这种主张导致了未经检验的预测,即旨在提高ANS性能的培训将转变为符号数学的改进。在这里,在两个实验中,我们显示了对点阵列的近似加法和减法的ANS训练有选择地提高了符号加法和减法。这一发现强烈支持以下假设:复杂的数学技能与基本的言语定量能力基本相关,提供了ANS和符号数学可能因果相关的第一个直接证据,并提高了针对ANS的干预措施可能使儿童和成年人受益的可能性。与数学斗争。

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