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Evaluating the effectiveness of experiential learning with concrete-representational-abstract instructional technique in a college statistics and algebra course.

机译:在大学统计和代数课程中,使用具体的抽象性教学技术评估体验式学习的有效性。

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摘要

A student underprepared for college-level mathematics and requiring college algebra and statistics may need as many as three to six mathematics courses. College algebra is an at-risk course since it has a drop, fail, and withdrawal (DFW) rate of 40--60% (Adelman, 2004; Small, 2010). The study evaluated the effectiveness of a college algebra class where statistics is integrated into its curriculum, denoted CA/S course. The integration occurred through the author-developed experiential concrete-representational-abstract (E-CRA) instructional method, a derivative of the Kolb experiential learning model and the concrete-representational-abstract (CRA) instructional method (Kolb, 1984; Witzel, 2005). When learning new algebra and statistics topics, students brought in their own data or used real-world data, created and reflected on different representations of the data, learned the mathematics equations and functions that explain the data in the abstract stage, and then utilized mathematical modeling to further understand the data and use the model for prediction purposes. The variables, attitudes towards statistics, statistics self-efficacy, mathematics anxiety, algebra skills, statistical numeracy and reasoning skills, and persistence, were analyzed for the students in the CA/S course. Students in CA/S course (n=19) showed improved statistics self-efficacy, (p=.002), and statistical numeracy and reasoning skills, (p=.053), from the beginning to the end of the semester. When controlling for developmental mathematics, students in CA/S reported a stronger (i.e., practical significance p=.053) statistical self-efficacy than students in a comparable group who did not take CA/S. At the end of the study, CA/S students possessed two statistical numeracy and reasoning skills that were significantly stronger than the students in the comparable group (p=.032, p=.006). No statistical significance was found for the other research variables. The research found that the CA/S curriculum utilizing the E-CRA instructional method yield positive outcomes related to the affective domain of the CA/S students. Students' self-efficacy became significantly stronger, possibly contributing to the improvement of the students' abilities to perform statistical numeracy and reasoning skills. Lesson plans are included as well as suggestions for implementation and recommendations for future study.
机译:对于大学水平的数学准备不足的学生,需要大学的代数和统计学知识,可能需要多达三到六门数学课程。大学代数是一个高风险的课程,因为它的落差,失败和退学率(DFW)为40--60%(Adelman,2004; Small,2010)。这项研究评估了大学代数课程的有效性,该课程将统计学纳入其课程,称为CA / S课程。整合是通过作者开发的体验式具体表示抽象(E-CRA)教学方法,Kolb体验式学习模型和具体表示性抽象(CRA)教学方法的派生而实现的(Kolb,1984; Witzel,2005 )。在学习新的代数和统计学主题时,学生引入自己的数据或使用现实世界的数据,创建并反映数据的不同表示形式,学习在抽象阶段解释数据的数学方程式和函数,然后利用数学建模以进一步理解数据并将模型用于预测目的。针对CA / S课程的学生,分析了变量,对统计的态度,统计自我效能,数学焦虑,代数技能,统计计算能力和推理技能以及坚持性。从学期开始到学期结束,在CA / S课程中的学生(n = 19)显示出统计学上的自我效能感(p = .002)以及统计学计算和推理技巧(p = .053)。在控制发展数学时,CA / S的学生报告的统计自我效能感比未参加CA / S的可比较组的学生更强(即,实际意义p = .053)。在研究结束时,CA / S学生具有两种统计计算和推理能力,明显强于可比组的学生(p = .032,p = .006)。没有发现其他研究变量的统计学意义。研究发现,采用E-CRA教学法的CA / S课程产生了与CA / S学生的情感领域相关的积极成果。学生的自我效能感显着增强,可能有助于提高学生进行统计计算和推理技能的能力。课程计划,实施建议和未来学习建议均包括在内。

著录项

  • 作者

    Westbrook, Thersa R.;

  • 作者单位

    Texas State University - San Marcos.;

  • 授予单位 Texas State University - San Marcos.;
  • 学科 Education Mathematics.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 324 p.
  • 总页数 324
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:45:30

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