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幼儿园儿童的非符号比例推理:潜在的单维启发式方法及其与数学能力的关系。

Non-symbolic Ratio Reasoning in Kindergarteners: Underlying Unidimensional Heuristics and Relations With Math Abilities.

作者信息

Muñez David, Bull Rebecca, Cheung Pierina, Orrantia Josetxu

机构信息

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

Macquarie School of Education, Macquarie University, Sydney, NSW, Australia.

出版信息

Front Psychol. 2022 Feb 11;13:800977. doi: 10.3389/fpsyg.2022.800977. eCollection 2022.

Abstract

Although it is thought that young children focus on the magnitude of the target dimension across ratio sets during binary comparison of ratios, it is unknown whether this is the default approach to ratio reasoning, or if such approach varies across representation formats (discrete entities and continuous amounts) that naturally afford different opportunities to process the dimensions in each ratio set. In the current study, 132 kindergarteners (Mage = 68 months, = 3.5, range = 62-75 months) performed binary comparisons of ratios with discrete and continuous representations. Results from a linear mixed model revealed that children followed an additive strategy to ratio reasoning-i.e., they focused on the magnitude of the target dimension across ratio sets as well as on the absolute magnitude of the ratio set. This approach did not vary substantially across representation formats. Results also showed an association between ratio reasoning and children's math problem-solving abilities; children with better math abilities performed better on ratio reasoning tasks and processed additional dimensions across ratio sets. Findings are discussed in terms of the processes that underlie ratio reasoning and add to the extant debate on whether true ratio reasoning is observed in young children.

摘要

尽管人们认为幼儿在比率的二元比较中会关注比率集之间目标维度的大小,但尚不清楚这是否是比率推理的默认方法,或者这种方法是否因表示形式(离散实体和连续数量)而异,而这些表示形式自然地为处理每个比率集中的维度提供了不同的机会。在当前的研究中,132名幼儿园儿童(平均年龄=68个月,标准差=3.5,范围=62-75个月)对比率的离散和连续表示进行了二元比较。线性混合模型的结果显示,儿童在比率推理中采用了加法策略,即他们既关注比率集之间目标维度的大小,也关注比率集的绝对大小。这种方法在不同的表示形式之间没有显著差异。结果还表明比率推理与儿童的数学问题解决能力之间存在关联;数学能力较好的儿童在比率推理任务上表现更好,并且能够处理比率集之间的其他维度。我们从比率推理的基础过程方面讨论了这些发现,并为关于幼儿是否表现出真正的比率推理的现有争论增添了内容。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d44/8874013/c0607c80de1c/fpsyg-13-800977-g001.jpg

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