通过社会公正数据调查提高统计和多变量思维的兴趣和技能

Josephine Louie, Soma Roy, B. Chance, Jennifer Stiles, Emily R. Fagan
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引用次数: 1

摘要

加强课程数据素养(SDLC)项目一直在开发和研究课程模块,以培养来自历史上被边缘化群体的美国高中生对数据科学的兴趣和技能。SDLC模块集中于使用大规模社会科学数据和公共在线数据分析平台(CODAP)对社会正义问题的调查。本文考察了在完成为期三周的SDLC模块后,学生对统计和数据分析的兴趣增加的程度,以及对核心统计概念和多变量思维的更强理解。本文还讨论了社会正义焦点可能有助于学生对数据分析的兴趣和理解的方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Promoting interest and skills in statistical and multivariable thinking with social justice data investigations
The Strengthening Data Literacy across the Curriculum (SDLC) project has been developing and researching curriculum modules to build interest and skills in data science among U.S. high school students from historically marginalized groups. SDLC modules are centered on investigations of social justice questions using large-scale social science data and the Common Online Data Analysis Platform (CODAP). This paper examines the extent to which students show increased interest in statistics and data analysis, and stronger understanding of core statistical concepts and multivariable thinking, after completing a three-week SDLC module. This paper also discusses ways in which a social justice focus may contribute to students’ interests in and understanding of data analysis.
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