Understanding the complexities of mathematical cognition: A multi-level framework.

Understanding the complexities of mathematical cognition: A multi-level framework.
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理解数学认知的复杂性:一个多层次的框架。

DOI:
10.1177/17470218231175325
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发表时间:
2023-09
影响因子:
1.7
通讯作者:
Gilmore, Camilla
Gilmore, Camilla
中科院分区:
心理学4区
文献类型:
--
作者:
Gilmore, Camilla

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数学技能与未来的就业、幸福和生活质量有关。然而,许多成人和儿童未能学习到他们所需要的数学技能。为了改善这种情况,我们需要更好地理解学习和计算数学的过程。在过去的二十年里,以数学为重点的心理学研究有了实质性的增长。然而,为了取得进一步的进展,我们需要更多地关注数学认知的性质及其涉及的多个因素。数学不是一个单一的结构;相反,整体的数学成就是由对数学的特定组成部分(例如,数字事实知识,代数思维)的熟练程度组成的,这反过来又需要基本的数学过程(例如,数量级比较,模式识别)。一般的认知技能和不同的学习经历影响着数学各组成部分的发展以及它们之间的联系。在这里,我提出了一个框架,并提供了证据,该框架将数学的这些组成部分组合在一起。这个框架使我们能够理解关于数学认知影响的经验发现的扩散,并可以指导我们提出的问题,确定我们缺少研究证据和特定机制模型的地方。
Mathematics skills are associated with future employment, well-being, and quality of life. However, many adults and children fail to learn the mathematics skills they require. To improve this situation, we need to have a better understanding of the processes of learning and performing mathematics. Over the past two decades, there has been a substantial growth in psychological research focusing on mathematics. However, to make further progress, we need to pay greater attention to the nature of, and multiple elements involved in, mathematical cognition. Mathematics is not a single construct; rather, overall mathematics achievement is comprised of proficiency with specific components of mathematics (e.g., number fact knowledge, algebraic thinking), which in turn recruit basic mathematical processes (e.g., magnitude comparison, pattern recognition). General cognitive skills and different learning experiences influence the development of each component of mathematics as well as the links between them. Here, I propose and provide evidence for a framework that structures how these components of mathematics fit together. This framework allows us to make sense of the proliferation of empirical findings concerning influences on mathematical cognition and can guide the questions we ask, identifying where we are missing both research evidence and models of specific mechanisms.
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