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Assessing the mathematics knowledge of college developmental students: A case of the slope of a line.

机译:评估大学发展学生的数学知识:以直线的斜率为例。

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摘要

Mathematics education has been a national challenge in the United States. Many high school graduates entering college are underprepared for college-level work and must take at least one developmental mathematics course. Mathematics readiness issues have seriously affected colleges' graduation and retention rates and waste sizeable resources. To improve students' college mathematics readiness and support their successful mathematics learning, an important component is to improve math instruction in both the developmental and college-level classrooms. Successful teaching requires teachers having pedagogical content knowledge (PCK) in addition to strong subject matter knowledge. However, there is not much empirical research on developmental mathematics pedagogy or on students' understanding of developmental mathematics. Diversely represented and conceptualized in many different contexts and settings, slope is a fundamental underpinning concept for students to understand most secondary and postsecondary mathematics ideas. To fill in the gaps in the developmental mathematics pedagogy and to seek effective instructional strategies for college developmental mathematics teaching, this study assessed mathematics knowledge of college developmental students specifically regarding the concept of slope.;Building on the previous studies on procedural knowledge, conceptual knowledge, flexibility and multiple representations, this study conceptualized the knowledge flexibility models, considered the primary source register of multiple representations as a possible change mechanism of knowledge flexibility and developed a competence level model of the representations linking. Within these theoretical models and the theoretical framework of validity, this study developed and validated a slope instrument of thirty-five items using Rasch analysis (n = 4287). Results showed the instrument can measure students' slope knowledge reliably and validly. Hierarchical regression analyses and ANOVA demonstrated the significant effects of knowledge complexity and primary source register on item difficulty. The full model explained 42.35% (adjusted R-square = 0.4235; p-value = 0.0018) variance in the observed item difficulties. This study also investigated twelve out of sixteen mathematics translations between and within four different representations systems. The findings revealed college developmental students' strength and weakness in their slope learning and reflected on their overall mathematics background. Implications for developmental mathematics pedagogy, instructional strategies and practices, and the areas of future study are discussed.
机译:在美国,数学教育一直是一项全国性挑战。许多进入大学的高中毕业生对大学水平的工作准备不足,必须至少参加一门发展数学课程。数学准备问题严重影响了大学的毕业率和保留率,浪费了大量资源。为了提高学生的大学数学准备水平并支持他们成功的数学学习,一个重要的组成部分是在发展型和大学级别的课堂中改善数学教学。成功的教学要求教师除了具有较强的主题知识以外,还要具有教学内容知识(PCK)。但是,关于发展数学教学法或学生对发展数学的理解的实证研究很少。在许多不同的背景和环境中,斜率被不同地表示和概念化,它是学生理解大多数中学和中学后数学思想的基本基础概念。为填补发展数学教学法中的空白,并为大学发展数学教学寻求有效的教学策略,本研究评估了大学发展学生的数学知识,特别是关于坡度的概念。;在以往有关程序知识,概念知识的研究的基础上,灵活性和多种表示形式,本研究概念化了知识灵活性模型,将多种表示形式的主要来源注册视为知识灵活性的可能变化机制,并开发了表示形式链接的能力水平模型。在这些理论模型和有效性的理论框架内,本研究使用Rasch分析(n = 4287)开发并验证了35个项目的斜率仪器。结果表明,该仪器能够可靠,有效地测量学生的边坡知识。层次回归分析和方差分析表明,知识复杂性和主要来源注册对项目难度具有重大影响。完整的模型解释了观察到的项目困难的42.35%(调整后的R平方= 0.4235; p值= 0.0018)差异。这项研究还研究了四种不同表示系统之间和之内的十六种数学翻译中的十二种。调查结果揭示了大学发展学生在边坡学习方面的优势和劣势,并反映了他们的整体数学背景。讨论了对发展数学教学法,教学策略和实践以及未来研究领域的影响。

著录项

  • 作者

    Ding, Yanqing.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Mathematics education.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 150 p.
  • 总页数 150
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:41:20

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