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Error Analysis of Newman to Solve the Geometry Problem in Terms of Cognitive Style

机译:新手误差分析解决认知风格的几何问题

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Problem solving plays an important role in mathematics education because it could train students with mathematically minded. Many mistakes are still encountered in solving mathematical problems, especially on the matter of geometry. In this study has a purpose to describe student error in problem solving using Newman analysis (NEA) to solve the problem of geometry in terms of cognitive style. Newman analysis is a method of student error analysis in solving problems in the form of a description problem. This research is included in qualitative research with the subjects of this study are 4 students of class of 2016 mathematics education course IKIP Budi Utomo Malang, each consisting of students with different cognitive and gender styles. Data collection techniques in this study using test and interview techniques. Instrument for knowing reflexive cognitive style and impulsive cognitive style using MFFT (matching familiar figure test) to categorize students (fast-accurate, impulsive, reflexive, slow-inaccurate). Data analysis in this research use Miles and Huberman model. The result of the research shows that frequently mistake is in the transformation stage and skill process, it caused the students not to understand the procedure that will be used to solve the problem of the material is not well understood. In addition, the students showed a cognitive style that was more likely to be cognitive impulsive and reflexive style of 67.5%.
机译:解决问题在数学教育中起着重要作用,因为它可以训练学生在数学上思想。解决数学问题仍然遇到许多错误,特别是在几何问题上。在本研究中有目的是使用Newman分析(NEA)来描述问题解决问题的学生错误,以解决认知风格的几何问题。 Newman分析是一种学生错误分析的方法,以描述问题的形式解决问题。该研究纳入了与本研究主题的定性研究中,是2016年数学教育课程Ikip Budi Utomo Malang的4名学生,每个学生都包含具有不同认知和性别风格的学生。使用测试和面试技术的本研究中的数据收集技术。使用MFFT(匹配熟悉的图形测试)来了解反射认知风格和冲动认知风格的仪器,以对学生进行分类(快速准确,冲动,反射,慢速舒缓)。本研究中的数据分析使用Miles和Huberman模型。研究结果表明,经常误认为是在转型阶段和技能过程中,它导致学生不了解将用于解决材料问题的程序尚不清楚。此外,学生们表现出认知风格,更有可能具有认知冲动和反复性的67.5%。

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