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掌握代数能重新训练视觉系统,使其能够感知方程式中的层次结构。

Mastering algebra retrains the visual system to perceive hierarchical structure in equations.

作者信息

Marghetis Tyler, Landy David, Goldstone Robert L

机构信息

Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405-7007 USA.

出版信息

Cogn Res Princ Implic. 2016;1(1):25. doi: 10.1186/s41235-016-0020-9. Epub 2016 Dec 7.

Abstract

Formal mathematics is a paragon of abstractness. It thus seems natural to assume that the mathematical expert should rely more on symbolic or conceptual processes, and less on perception and action. We argue instead that mathematical proficiency relies on perceptual systems that have been retrained to implement mathematical skills. Specifically, we investigated whether the visual system-in particular, object-based attention-is retrained so that parsing algebraic expressions and evaluating algebraic validity are accomplished by visual processing. Object-based attention occurs when the visual system organizes the world into discrete objects, which then guide the deployment of attention. One classic signature of object-based attention is better perceptual discrimination within, rather than between, visual objects. The current study reports that object-based attention occurs not only for simple shapes but also for symbolic mathematical elements within algebraic expressions-but only among individuals who have mastered the hierarchical syntax of algebra. Moreover, among these individuals, increased object-based attention within algebraic expressions is associated with a better ability to evaluate algebraic validity. These results suggest that, in mastering the rules of algebra, people retrain their visual system to represent and evaluate abstract mathematical structure. We thus argue that algebraic expertise involves the regimentation and reuse of evolutionarily ancient perceptual processes. Our findings implicate the visual system as central to learning and reasoning in mathematics, leading us to favor educational approaches to mathematics and related STEM fields that encourage students to adapt, not abandon, their use of perception.

摘要

形式数学是抽象性的典范。因此,自然而然会认为数学专家应该更多地依赖符号或概念过程,而较少依赖感知和行动。相反,我们认为数学能力依赖于经过重新训练以执行数学技能的感知系统。具体而言,我们研究了视觉系统——特别是基于对象的注意力——是否经过重新训练,以便通过视觉处理来解析代数表达式并评估代数有效性。当视觉系统将世界组织成离散对象,然后引导注意力的部署时,就会发生基于对象的注意力。基于对象的注意力的一个经典特征是在视觉对象内部而非之间有更好的感知辨别力。当前的研究报告称,基于对象的注意力不仅出现在简单形状中,也出现在代数表达式中的符号数学元素中——但仅在掌握了代数分层语法的个体中出现。此外,在这些个体中,代数表达式中基于对象的注意力增加与评估代数有效性的能力增强相关。这些结果表明,在掌握代数规则时,人们会重新训练他们的视觉系统来表示和评估抽象的数学结构。因此,我们认为代数专长涉及对进化上古老的感知过程的规范和重用。我们的发现表明视觉系统是数学学习和推理的核心,这使我们倾向于支持那些鼓励学生适应而非摒弃感知运用的数学及相关STEM领域的教育方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7da1/6091526/5c98a283140e/41235_2016_20_Fig1_HTML.jpg

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