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用于解决开放式和封闭式数学问题的不同认知机制。

Different cognitive mechanisms used for solving open and closed math problems.

作者信息

Cui Jiaxin, Wang Shumin, Lv Liting, Ran Xiaomeng, Cui Zhanling, Zhou Xinlin

机构信息

College of Education, Hebei Normal University, Shijiazhuang, China.

State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.

出版信息

Int J Psychol. 2023 Dec;58(6):584-593. doi: 10.1002/ijop.12934. Epub 2023 Aug 2.

Abstract

Problem-solving skills are very important in our daily life. Almost all problem-solving studies have addressed the cognitive correlates of solving closed problems, but only limited studies have investigated the cognitive mechanisms of solving open problems. The current study aimed to systematically examine differences between the cognitive mechanisms used for solving open and closed problems. In total, the abilities of 142 high school students to solve open and closed problems were assessed, as were a series of general cognitive abilities as controlled variates. Analogical reasoning uniquely contributed to solving both open and closed math problems, after controlling for age, gender, and inductive reasoning. Reactive cognitive flexibility (measured using the Wisconsin card sorting test) and spatial working memory uniquely correlated only with solving open and closed math problems, respectively. These findings suggest that the cognitive processes used to solve open and closed math problems differ. Open and closed math problems appear to require more reactive cognitive flexibility for generation and more memory for retrieval, respectively.

摘要

解决问题的能力在我们的日常生活中非常重要。几乎所有关于解决问题的研究都关注解决封闭性问题的认知关联,但只有有限的研究探讨了解决开放性问题的认知机制。当前的研究旨在系统地考察解决开放性问题和封闭性问题所使用的认知机制之间的差异。总共评估了142名高中生解决开放性问题和封闭性问题的能力,以及一系列作为控制变量的一般认知能力。在控制了年龄、性别和归纳推理之后,类比推理对解决开放性和封闭性数学问题都有独特的贡献。反应性认知灵活性(通过威斯康星卡片分类测验测量)和空间工作记忆分别仅与解决开放性和封闭性数学问题有独特的相关性。这些发现表明,用于解决开放性和封闭性数学问题的认知过程是不同的。开放性和封闭性数学问题似乎分别需要更多的反应性认知灵活性来进行生成,以及更多的记忆来进行检索。

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