Analysis of Student Errors in Learning Circle Based on the Watson Error Category

W. N. N. Riantini, I. N. Suparta, I. Sudiarta
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引用次数: 1

Abstract

Error analysis is a process of reviewing students' answers to identify patterns of understanding. Errors in mathematics are considered as deviations from the actual solution of a problem. The aim of the study is to analyze student errors based on the Watson error category learning circle. In this study students were given 5 essay mathematical problems, and then analyzed their errors based on 8 Watson error categories and continued by interviewing 1 student for each category of error. This study was conducted at SMP PGRI 3 Denpasar in a class on IX grade with 40 students. The results show that the percentage of student errors categories obtained from this study as follows: comprehension errors 54%, transformation errors 18%, process skills errors 15%, encoding errors 7%. Students are interviewed to find out carelessness and motivation that affect students' mistakes. While for question form category we found no errors.
基于沃森错误分类的学生学习圈错误分析
错误分析是通过检查学生的答案来识别理解模式的过程。数学中的错误被认为是偏离了问题的实际解。本研究的目的是基于沃森错误分类学习圈对学生错误进行分析。在这项研究中,学生们得到了5个论文数学问题,然后根据8个沃森错误类别分析他们的错误,并继续就每个错误类别采访1名学生。本研究是在SMP PGRI 3登巴萨的一个九年级班级进行的,共有40名学生。结果表明,本研究得出的学生错误类别百分比为:理解错误54%,转换错误18%,处理技能错误15%,编码错误7%。对学生进行访谈,找出影响学生犯错的粗心和动机。而在题型分类中,我们没有发现错误。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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