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首页> 外文期刊>Procedia - Social and Behavioral Sciences >Development of a Mathematical Problem Solving Diagnostic Method: An Application of Bayesian Networks and Multidimensional item Respond Theory
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Development of a Mathematical Problem Solving Diagnostic Method: An Application of Bayesian Networks and Multidimensional item Respond Theory

机译:数学问题解决诊断方法的发展:贝叶斯网络和多维项目响应理论的应用

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A major problem of the teaching and learning of mathematics in Thailand is students cannot solve problems of given situations. Giving feedback to students about their strengths and weaknesses of mathematical problems solving will generate learning mathematics effectively. The objectives of this research were to study component of mathematical problems solving as well as to develop a new diagnostic method for mathematical problems solving by using Bayesian network and a multidimensional item response theory. The study process consists of 3 phases: 1) Development of diagnostic method for mathematical problems solving.2) Comparison of methods for determining cut points. 3) Comparative Effectiveness of Diagnosis mathematical problems solving. In additions, there are 2 mathematical problem solving diagnostic tests involved in this new method. The first test is used for diagnosis of conception of mathematical problems solving and the second test is used for diagnosis of process of mathematical problems solving of students.
机译:泰国数学教学的一个主要问题是学生无法解决给定情况下的问题。向学生提供有关解决数学问题的优缺点的反馈,将有效地产生学习数学的知识。本研究的目的是研究数学问题解决的组成部分,并利用贝叶斯网络和多维项目响应理论开发一种新的数学问题诊断方法。研究过程分为三个阶段:1)开发解决数学问题的诊断方法。2)比较确定切点的方法。 3)诊断数学问题解决的比较有效性。此外,此新方法还涉及2个数学问题解决诊断测试。第一个测试用于诊断数学问题解决的概念,第二个测试用于诊断学生解决数学问题的过程。

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