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获得数学理解:创造性数学推理与认知能力的影响

Gaining Mathematical Understanding: The Effects of Creative Mathematical Reasoning and Cognitive Proficiency.

作者信息

Jonsson Bert, Granberg Carina, Lithner Johan

机构信息

Department of Applied Educational Science, Umeå University, Umeå, Sweden.

Umeå Mathematics Education Research Center, Umeå, Sweden.

出版信息

Front Psychol. 2020 Dec 18;11:574366. doi: 10.3389/fpsyg.2020.574366. eCollection 2020.

Abstract

In the field of mathematics education, one of the main questions remaining under debate is whether students' development of mathematical reasoning and problem-solving is aided more by solving tasks with given instructions or by solving them without instructions. It has been argued, that providing little or no instruction for a mathematical task generates a mathematical struggle, which can facilitate learning. This view in contrast, tasks in which routine procedures can be applied can lead to mechanical repetition with little or no conceptual understanding. This study contrasts Creative Mathematical Reasoning (CMR), in which students must construct the mathematical method, with Algorithmic Reasoning (AR), in which predetermined methods and procedures on how to solve the task are given. Moreover, measures of fluid intelligence and working memory capacity are included in the analyses alongside the students' math tracks. The results show that practicing with CMR tasks was superior to practicing with AR tasks in terms of students' performance on and . Cognitive proficiency was shown to have an effect on students' learning for both CMR and AR learning conditions. However, math tracks (advanced versus a more basic level) showed no significant effect. It is argued that going beyond step-by-step textbook solutions is essential and that students need to be presented with mathematical activities involving a struggle. In the CMR approach, students must focus on the relevant information in order to solve the task, and the characteristics of CMR tasks can guide students to the structural features that are critical for aiding comprehension.

摘要

在数学教育领域,仍在争论的主要问题之一是,学生数学推理和问题解决能力的发展,通过按照给定说明解决任务,还是在无说明的情况下解决任务,哪种方式的帮助更大。有人认为,对于数学任务提供很少或不提供指导会产生数学上的挣扎,而这可以促进学习。相比之下,这种观点认为,那些可以应用常规程序的任务可能导致机械重复,而几乎没有概念理解。本研究将学生必须构建数学方法的创造性数学推理(CMR)与给出如何解决任务的预定方法和程序的算法推理(AR)进行对比。此外,在分析中除了学生的数学成绩轨迹外,还纳入了流体智力和工作记忆容量的测量。结果表明,就学生在[具体方面1]和[具体方面2]的表现而言,用CMR任务练习优于用AR任务练习。认知能力被证明在CMR和AR学习条件下对学生的学习都有影响。然而,数学成绩轨迹(高级水平与基础水平)没有显示出显著影响。有人认为,超越教科书的逐步解决方案至关重要,并且需要让学生参与有挑战性的数学活动。在CMR方法中,学生必须专注于相关信息以解决任务,并且CMR任务的特点可以引导学生关注对帮助理解至关重要的结构特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5135/7775304/c1dd3bb738b8/fpsyg-11-574366-g001.jpg

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