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Writing to learn statistics in an Advanced Placement Statistics course.

机译:在“高级展示位置统计信息”课程中写作以学习统计信息。

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摘要

This study investigated the use of writing in a statistics classroom to learn if writing provided a rich description of problem-solving processes of students as they solved problems. Through analysis of 329 written samples provided by students, it was determined that writing provided a rich description of problem-solving processes and enabled teachers to find student mistakes easier. Requiring students to write in a statistics course provided a window into the problem-solving abilities of students. The researcher also concluded that he was better able to help students fix errors and misunderstandings since writing made them easier to find. This study also investigated if there any differences when analyzing written samples of students, using ratings from a rubric, for problem-solving processes as they solve problems. A Hierarchical Linear Modeling (HLM) procedure was used and found one statistically, significant difference between the problem-solving process of conceptual understanding and that of problem-solving ability, t (1643) = -9.231, p .001. This suggested that students received a significantly lower score for conceptual understanding compared to problem-solving ability when the researcher analyzed their work using a rubric designed by Pugalee (2005).
机译:这项研究调查了在统计教室中写作的用途,以了解写作是否能很好地描述学生解决问题的过程。通过对学生提供的329个书面样本进行分析,可以确定写作为解决问题的过程提供了丰富的描述,并使教师更容易发现学生的错误。要求学生写统计学课为了解学生解决问题的能力提供了一个窗口。研究人员还得出结论,由于写作使他们更容易找到,因此他能够更好地帮助学生纠正错误和误解。这项研究还调查了在使用解决方案来解决学生的问题时,使用来自评注的评分来分析学生的书面样本时是否存在差异。使用层次线性建模(HLM)程序,发现在统计上,概念理解的问题解决过程与问题解决能力之间存在显着差异,t(1643)= -9.231,p <.001。这表明,当研究人员使用由Pugalee(2005)设计的标题来分析他们的工作时,与解决问题的能力相比,学生在概念理解上的得分要低得多。

著录项

  • 作者

    Northrup, Christian Glenn.;

  • 作者单位

    The University of North Carolina at Charlotte.;

  • 授予单位 The University of North Carolina at Charlotte.;
  • 学科 Education Mathematics.;Statistics.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 140 p.
  • 总页数 140
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:45

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