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A computer -enhanced course in descriptive statistics at the college level: An analysis of student achievement and attitudes

机译:大学水平的描述性统计计算机增强课程:对学生成绩和态度的分析

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摘要

In this study, a comparison was made between a traditional approach to teaching college introductory descriptive statistics and a nontraditional approach in which the computer statistics package SPSS was used throughout the course. Student achievement and attitudes were compared for the two treatments. There were 64 students in the nontraditional course and 52 students in the traditional course. The two courses were given a year apart in the spring semester and were taught by different instructors.;The results of nested, split-plot analyses of variance indicated that students in the nontraditional course (M = 41.26, SD = 6.13) statistically significantly outperformed those in the traditional course (M = 34.78, SD = 6.90), F(1, 2) = 53.34, p = .02, on the final examination for the course. This achievement effect was similar for all sub-topics and types of conceptual understanding tested on the final examination. The results also indicated that no statistically significant attitude differences were detected on the Attitudes Toward Statistics (ATS) Scale (Wise, 1985) between those in the nontraditional course (M = 2.42, SD = .47) and in the traditional course (M = 2.47, SD = .55), F(1, 2) = .38, p = .60. The student attitudes between the treatments were also similar when measured by responses on the departmental course evaluations.;Results of correlation analyses indicated that achievement and attitudes did not differ by gender or age for either of the two treatments. The only statistically significant student attributes found for predicting achievement and attitudes were achievement attributes such as self-reported mathematics ability and grade point average. Further, attitude in the course was not a statistically significant predictor of achievement in the course.;The results support the implementation of the nontraditional approach for students at large, urban universities in the northeast. Students who learned the introductory descriptive statistics with the nontraditional approach, incorporating a menu-driven computer statistics package, learned the statistics content better, liked the course just as much, and learned the additional skill of using a computer statistics package.
机译:在这项研究中,比较了传统的大学介绍性统计学教学方法和非传统方法,在整个课程中使用计算机统计软件包SPSS。比较了两种治疗方法的学生成绩和态度。非传统课程有64名学生,传统课程有52名学生。这两门课程在春季学期分开授课一年,由不同的讲师讲授。嵌套,方差分析的方差分析结果表明,非传统课程的学生(M = 41.26,SD = 6.13)在统计上明显优于在该课程的最终考试中,采用传统课程的学生(M = 34.78,SD = 6.90),F(1,2)= 53.34,p = .02。对于最终考试中测试的所有子主题和类型的概念理解,此成就效果都相似。结果还表明,在非传统课程(M = 2.42,SD = 0.47)和传统课程(M = 2.4)之间,在“态度向统计学(ATS)量表(Wise,1985)”上未检测到统计学上显着的态度差异。 2.47,SD = .55),F(1,2)= 0.38,p = 0.60。通过部门课程评估的回答来衡量,两种疗法之间的学生态度也相似。相关分析结果表明,两种疗法中任何一种的成就和态度在性别或年龄上均没有差异。发现用于预测成就和态度的唯一具有统计意义的学生属性是成就属性,例如自我报告的数学能力和平均成绩。此外,该课程的态度并不是该课程成绩的统计学上显着的预测因素。;研究结果支持在东北大型城市大学的学生实施非传统方法。通过非传统方法学习介绍性描述性统计信息,并结合了菜单驱动的计算机统计信息包,学习了更好的统计信息内容,喜欢这门课程的学生以及使用计算机统计信息包的其他技能的学生。

著录项

  • 作者

    Abramowitz, Sarah Knapp.;

  • 作者单位

    New York University.;

  • 授予单位 New York University.;
  • 学科 Mathematics education.;Higher education.;Educational technology.;Curriculum development.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 283 p.
  • 总页数 283
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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