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Misconceptions in rational numbers, probability, algebra, and geometry.

机译:对有理数,概率,代数和几何的误解。

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摘要

In this study, the author examined the relationship of probability misconceptions to algebra, geometry, and rational number misconceptions and investigated the potential of probability instruction as an intervention to address misconceptions in all 4 content areas. Through a review of literature, 5 fundamental concepts were identified that, if misunderstood, create persistent difficulties across content areas: rational number meaning, additive/multiplicative structures, absolute/relative comparison, variable meaning, and spatial reasoning misconceptions. Probability instruction naturally provides concrete, authentic experiences that engage students with abstract mathematical concepts, establish relationships between mathematical topics, and connect inter-related problem solving strategies. The intervention consisted of five probability lessons about counting principles, randomness, independent and dependent event probability, and probability distributions. The unit lasted approximately two weeks.;This study used mixed methodology to analyze data from a randomly assigned sample of students from an untreated control group design with a switching replication. Document analysis was used to examine patterns in student responses to items on the mathematics knowledge test. Multiple imputation was used to account for missing data. Structural equation modeling was used to examine the causal structure of content area misconceptions. Item response theory was used to compute item difficulty, item discrimination, and item guessing coefficients. Generalized hierarchical linear modeling was used to explore the impact of item, student, and classroom characteristics on incorrect responses due to misconceptions.;These analyses resulted in 7 key findings. (1) Content area is not the most effective way to classify mathematics misconceptions; instead, five underlying misconceptions affect all four content areas. (2) Mathematics misconception errors often appear as procedural errors. (3) A classroom environment that fosters enjoyment of mathematics and value of mathematics are associated with reduced misconception errors. (4) Higher mathematics self confidence and motivation to learn mathematics is associated with reduced misconception errors. (5) Probability misconceptions do not have a causal effect on rational numbers, algebra, or geometry misconceptions. (6) Rational number misconceptions do not have a causal effect on probability, algebra, or geometry misconceptions. (7) Probability instruction may not affect misconceptions directly, but it may help students develop skills needed to bypass misconceptions when solving difficult problems.
机译:在这项研究中,作者研究了概率误解与代数,几何和有理数误解的关系,并研究了概率指导作为解决所有4个内容领域的误解的潜在方法。通过对文献的回顾,确定了5个基本概念,这些基本概念如果被误解,则会在内容领域造成持续的困难:有理数含义,加法/乘法结构,绝对/相对比较,变量含义和空间推理误解。概率指导自然会提供具体,真实的体验,使学生参与抽象的数学概念,建立数学主题之间的关系以及连接相互关联的问题解决策略。干预包括关于计数原理,随机性,独立和从属事件概率以及概率分布的五个概率课程。该单元持续了大约两个星期。本研究使用混合方法分析了来自未经处理的对照组设计的随机分配学生样本的数据,该样本采用切换复制。使用文档分析来检查学生对数学知识测验中项目的反应方式。使用多重插补来解释丢失的数据。结构方程模型用于检查内容区域误解的因果结构。项目反应理论用于计算项目难度,项目区分度和项目猜测系数。广义分层线性建模用于探讨项目,学生和教室特征对由于误解而产生的错误回答的影响。这些分析得出了7个关键发现。 (1)内容领域并不是对数学误解进行分类的最有效方法;相反,有五个潜在的误解影响了所有四个内容领域。 (2)数学上的误解性错误通常表现为程序性错误。 (3)促进数学乐趣和数学价值的课堂环境与减少误解错误有关。 (4)较高的数学自信心和学习数学的动机与减少误解错误有关。 (5)概率误解对有理数,代数或几何误解没有因果关系。 (6)有理数误解对概率,代数或几何误解没有因果关系。 (7)概率教学可能不会直接影响误解,但可以帮助学生发展解决难题时绕过误解所需的技能。

著录项

  • 作者

    Rakes, Christopher R.;

  • 作者单位

    University of Louisville.;

  • 授予单位 University of Louisville.;
  • 学科 Education Mathematics.;Education Curriculum and Instruction.;Education Secondary.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 365 p.
  • 总页数 365
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:36:56

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