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tandfonline.com – Supporting Data Science in the Statistics Curriculum

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science—such as visualization, data manipulation, and database usage—that instructors at a wide-range of institutions can incorporate into existing statistics courses. The resulting materials are flexible enough to serve both introductory and advanced students, and aim to provide students with the skills to experiment with data, find their own patterns, and ask their own questions. In this article, we discuss a tutorial on data visualization and a case study synthesizing data wrangling and visualization skills in detail, and provide references to additional class-tested materials. R and R Markdown are used for all… Continue Reading

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tandfonline.com – The Data Mine: Enabling Data Science Across the Curriculum

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: Abstract Abstract In this article, we describe a large-scale living learning community 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 a living learning community is beneficial; the curriculum (motivated by Nolan and Temple Lang (2010)); 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. Link til kilde