数据可视化:在统计学入门课程中将数据带入生活

IF 2.2 Q3 Social Sciences
Lynette Hudiburgh, D. Garbinsky
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引用次数: 10

摘要

摘要尽管使用表格、图表和图形来总结信息的做法由来已久,但大数据时代的到来和计算能力的提高使数据可视化领域再次受到关注。因此,统计学入门课程培训学生成为数据可视化的关键作者和消费者至关重要。为此,我们开发了一个为期一学期的、由教师支持的小组项目,让学生接触到这个不断发展的领域。我们发现,这个项目是一种令人兴奋和有效的方式,可以教学生统计学的力量,更重要的是,在解释统计学时,语境发挥着关键作用。该项目的诸多好处包括动手学习、改进数学推理以及更好的协作和沟通技能。在这篇文章中,我们描述了项目结构、项目评估和促进有效小组工作的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Visualization: Bringing Data to Life in an Introductory Statistics Course
Abstract Although the use of tables, graphs, and figures to summarize information has long existed, the advent of the big data era and improved computing power has brought renewed attention to the field of data visualization. As such, it is crucial that introductory statistics courses train students to become critical authors and consumers of data visualizations. To that end, we have developed a semester-long, instructor-supported, group project that exposes students to this growing field. We have found this project to be an exciting and effective way to teach students the power of statistics and, more importantly, the critical role context plays when interpreting statistics. Among the many benefits of this project are hands-on learning, improved mathematical reasoning, and better collaboration and communication skills. In this article, we describe the project structure, project assessment, and techniques for facilitating effective group work.
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来源期刊
Journal of Statistics Education
Journal of Statistics Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
1.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊介绍: The "Datasets and Stories" department of the Journal of Statistics Education provides a forum for exchanging interesting datasets and discussing ways they can be used effectively in teaching statistics. This section of JSE is described fully in the article "Datasets and Stories: Introduction and Guidelines" by Robin H. Lock and Tim Arnold (1993). The Journal of Statistics Education maintains a Data Archive that contains the datasets described in "Datasets and Stories" articles, as well as additional datasets useful to statistics teachers. Lock and Arnold (1993) describe several criteria that will be considered before datasets are placed in the JSE Data Archive.
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