分析学生思考解决数学问题的计算能力

Yuntawati Yuntawati, S. Sanapiah, Lalu Abdul Aziz
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引用次数: 9

摘要

数学学习总是与问题有关。计算思维是一种思维过程,需要形成一个问题及其解决方案。未来的数学教师有责任使自己具备包括计算思维在内的各种能力,这些能力将成为他们成为教师的条件。作为制定提高和发展学生计算思维能力的策略的第一步,有必要首先了解学生的计算思维能力是如何发展的。这种类型的研究是描述性质的。调查对象为UNDIKMA数学教育的10名学生。受访者类别是参加过图形课程的学生。确定调查对象的方法是随机抽样。研究数据访谈方法为测试和访谈。使用的工具是两个问题来解决数学问题。在解决第一个和第二个问题时显示的结果表明,受访者能够使用计算思维组件解决问题。从分解、抽象和算法开始。虽然泛化成分在解决问题的过程中是不可见的,尽管有一些受访者回答错误。这是因为受访者不理解问题。问题只读了一两次,所以问题中的信息没有得到正确的实现。甚至被调查者在解决第二个问题时也只看到了最简单的路径,而忽略了曲折的路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis Kemampuan Computational Thinking Mahasiswa Dalam Menyelesaikan Masalah Matematika
Mathematics learning is always related to problems. Computational Thinking is a thought process that is needed in formulating a problem and its solution. Prospective mathematics teachers have the responsibility to equip themselves with various abilities including Computational Thinking which will become their provisions when they become teachers. As a first step to prepare strategies that can be used in improving and developing students 'computational thinking skills, it is necessary to know and first how the students' computational thinking skills. This type of research is descriptive qualitative. The research respondents were 10 students of UNDIKMA mathematics education. Respondent categories are students who have taken Graph courses. The technique of determining respondents is a random sampling method. The research data interview techniques were tests and interviews. The instruments used are two questions to solve math problems. The results shown in solving the first and second questions show that respondents are able to solve problems with the Computational Thinking component. begins with decomposition, abstraction, and algorithms. While the generalization component is not visible in the problem solving process, although there were some respondents who answered incorrectly. This is because the respondents do not understand the questions. Questions are only read once or twice so the information in the questions has not been properly implemented. Even the respondents only saw the simplest paths and ignored the winding paths in solving the second problem.
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