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Powerpoint design based on cognitive load theory and cognitive theory of multimedia learning for introduction to statistics.

机译:基于认知负荷理论和多媒体学习认知理论的Powerpoint设计,用于统计学。

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摘要

Statistics is a complicated subject to teach because it involves interpretational, mathematical, and logical components. Given the importance of introduction to statistics for many non-technical students and the propensity of PowerPoint as an instructional tool, there is a need to determine whether the application of cognitive load theory and cognitive theory of multimedia learning provide effective principles for manipulating PowerPoint lessons for greater learning potential. This study evaluated the split-attention and redundancy principles in a PowerPoint lesson on z-scores and their potential to decrease mental effort and increase learning. Through an experimental approach, participants were recruited from an introduction to statistics for the behavioral science courses at a community college and were randomly assigned to one of three conditions (control PowerPoint, split-attention PowerPoint, and redundancy PowerPoint). After watching the recorded PowerPoint lecture, participants self-reported mental effort and answered retention and transfer test questions to measure learning. Analyses of variance with post-hoc Tukey HSD tests were conducted. Findings suggest that manipulating the PowerPoint with the principles decreases mental effort and increases learning, especially for transfer.
机译:统计学是一门复杂的课程,因为它涉及解释,数学和逻辑方面。鉴于对许多非技术专业的学生来说,介绍统计学的重要性以及PowerPoint作为教学工具的倾向性,有必要确定认知负荷理论和多媒体学习认知理论的应用是否为操纵PowerPoint课程提供了有效的原理。更大的学习潜力。这项研究评估了关于z得分的PowerPoint课中的注意力分散和冗余原则,以及它们减少精神努力和增加学习的潜力。通过实验方法,从社区学院的行为科学课程的统计学入门中招募了参与者,并将他们随机分配给以下三个条件之一(控制PowerPoint,分心注意力PowerPoint和冗余PowerPoint)。在观看录制的PowerPoint演讲后,参与者自我报告了自己的精神努力,并回答了保留和转移测试问题以衡量学习情况。进行了事后Tukey HSD测试的方差分析。研究结果表明,以这些原则来操作PowerPoint可以减少精神努力并增加学习,尤其是在迁移方面。

著录项

  • 作者单位

    University of Southern California.;

  • 授予单位 University of Southern California.;
  • 学科 Education Educational Psychology.;Education Community College.;Statistics.;Education Technology of.
  • 学位 Ed.D.
  • 年度 2014
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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