Conceptual and Procedural Knowledge in Mathematical Cognition

数学认知中的概念性和程序性知识

• 批准号: RGPIN-2019-06083
• 负责人: Hallett, Darcy
• 金额: $ 2.04万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=738699
• 关键词: Conceptual; Procedural; Knowledge; Mathematical; Cognition

When faced with a mathematical problem, do children think about the problem conceptually, or do they instead work through a procedure to generate the "right answer"? This program of research is aimed at better understanding this question in three different ways. First, I aim to further explore whether there are distinct groups of students who rely differently on conceptual knowledge or procedural knowledge. In other words, I want to see if there are some students who rely more on conceptual knowledge, some who rely on procedural knowledge, or some who rely equally on both. Previous research in my lab has demonstrated these differences exist in regard to fraction and algebra understanding. The aim here is to extend these findings and test whether these individual differences are temporary stops in the learning trajectory or reflect more entrenched learning biases. Second, I will explore what exactly is meant by procedural knowledge. Some characterize it as the simple memorization of algorithms, others emphasize that is needs to be executed fluently, and still others maintain that good procedures are ones that include conceptual understanding. This research will tease out these differences and see which are most related to math performance. Third, I plan to investigate the specific aspects of conceptual knowledge related to the different ways in which we represent magnitude, and how other math abilities, like the memorization of math facts, are related both to this and to overall math performance. In sum, the research program proposed here seeks to extend our understanding of conceptual knowledge, procedural knowledge, and math fact automaticity in the field of mathematical cognition. Although any advancement in our understanding of mathematical cognition has implications for improving our education system, the three factors listed above have been identified as being key to better mathematical understanding. This program of research will enhance our understanding of these key aspects of mathematical cognition, which will not only lead to a better understanding of how mathematical and numerical information is represented in the human brain, but could also have implications about how to improve people's mathematical understanding. It will also train Highly Qualified Personnel with the statistical, programing and research expertise to contribute to the field of mathematical cognition.

当面对一道数学问题时，孩子们是从概念上思考问题，还是通过一个过程来生成“正确答案”？这项研究计划旨在通过三种不同的方式更好地理解这个问题。首先，我的目标是进一步探索是否存在不同的学生群体，他们对概念性知识或程序性知识的依赖程度不同。换句话说，我想看看是不是有一些学生更依赖概念性知识，一些学生依赖程序性知识，或者一些学生同时依赖两种知识。我的实验室之前的研究已经证明，在分数和代数理解方面存在这些差异。这里的目的是扩大这些发现，并测试这些个体差异是学习轨迹上的暂时停顿，还是反映了更根深蒂固的学习偏见。第二，我将探索程序性知识的确切含义。一些人将其描述为简单地记忆算法，另一些人强调需要流利地执行，还有一些人坚持认为，好的程序是包括概念理解的程序。这项研究将梳理出这些差异，看看哪些与数学成绩最相关。第三，我计划研究概念性知识的具体方面，与我们表达数量的不同方式有关，以及其他数学能力，如记忆数学事实，如何与这一点和整体数学表现联系起来。总之，这里提出的研究计划试图扩大我们对数学认知领域中的概念性知识、程序性知识和数学事实自动性的理解。虽然我们对数学认知的理解上的任何进步都对改善我们的教育系统有影响，但上面列出的三个因素被认为是更好地理解数学的关键。这项研究计划将加强我们对数学认知的这些关键方面的理解，这不仅将使我们更好地理解数学和数字信息在人脑中的表现方式，而且可能对如何提高人们的数学理解能力产生影响。它还将培训具有统计、编程和研究专业知识的高素质人员，为数学认知领域做出贡献。