基于纽曼性别理论的学生解数模式、数列和数列热点类型的错误

Qania Agustika Siagian, T. Herman, D. Darhim, K. Khairunnisa
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引用次数: 0

摘要

本研究旨在分析学生在高、中、低水平的高阶思维技能(HOTS)类型问题上的错误,并从性别上识别学生在高阶思维技能(HOTS)类型问题上的错误。这种类型的研究是定性的案例研究方法。研究对象选取HOTS能力水平高、中、低的男生3名,女生3名,各2名。数据收集技术采用hot类型的测试和访谈。分析框架是基于纽曼的误差范畴理论发展起来的。获得的数据通过可信性、可转移性、可靠性和可确认性测试进行有效性测试。结果显示,男性和女性受试者在解决hot类型问题时所犯错误的类型和百分比存在一些差异。在数字模式、数列、数列的材料中,男女错误最多的是误解,占33.33%,其次是确定最终答案的错误,占23.02%,其次是转换错误,占22.22%,最后是阅读错误,占20.63%。可以看出,女性错误率为57.14%,男性错误率为41.86%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Student Errors in Solving Number Patterns, Sequences, and Series HOTS Types Based on Newman's Theory in Terms of Gender
This study aims to analyze the errors of students with HOTS abilities at high, medium and low levels and identify student errors in solving HOTS (Higher Order Thinking Skill) type questions in terms of gender. This type of research is qualitative with a case study approach. The research subjects were selected 3 male students and 3 female students, each of which the HOTS ability level was high, medium and low consisting of 2 students. Data collection techniques used HOTS-type tests and interviews. The analytical framework was developed based on Newman's theory of error categories. The data obtained were tested for validity through credibility, transferability, dependability, and confirmability tests. The results showed several differences in the types and percentages of errors made by male and female subjects in solving HOTS-type questions. The biggest mistakes made by both genders in the material of number patterns, sequences, and series are misunderstandings of 33.33%, followed by errors in determining the final answer of 23.02%, transformation errors of 22.22%, errors in the completion process of 20.63%, and finally, reading errors of 0.79%. It can be seen that the female gender makes more mistakes by 57.14% compared to the male gender by 41.86%.
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