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  • 标题:The Data Mine: Enabling Data Science Across the Curriculum
  • 本地全文:下载
  • 作者:Ellen Gundlach ; Mark Daniel Ward
  • 期刊名称:Journal of Statistics Education
  • 电子版ISSN:1069-1898
  • 出版年度:2021
  • 卷号:29
  • 期号:sup1
  • 页码:S74-S82
  • DOI:10.1080/10691898.2020.1848484
  • 出版社:American Statistical Association
  • 摘要:In this article, we describe a large-scale living learning community (LLC) for undergraduate students of any major or background. Our students are united by a desire to learn data science skills and to apply those skills in a specific academic discipline or a corporate partner project. We provide explanations of why an LLC is beneficial; the curriculum (motivated by Nolan and Temple Lang); resources required to coordinate such a community; lessons learned from the first year at a large scale; plans for an assessment and a shared resource repository; and plans for an even more accessible, differentiated learning environment in the future.
  • 关键词:Data science ; Introductory statistics ; Learning communities ; Massive datasets ; Statistical computing ; Undergraduate curriculum
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