Journal
JOURNAL OF STATISTICS AND DATA SCIENCE EDUCATION
Volume -, Issue -, Pages -Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/26939169.2023.2276844
Keywords
Course design; Data literacy; Data science; Jewish studies; Pedagogy; Quantitative methods; Scaffolded research project; Undergraduate
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This article discusses how to design a statistics course for students in nonquantitative fields and demonstrates this approach with an example of an introductory applied statistics class.
Data literacy for students in nonquantitative fields is important as statistics become the grammar of research and how the world's decisions are made. Statistics courses are typically offered by mathematics or statistics departments or by social and natural sciences such as economics, political science, psychology, and biology. Here we discuss how to construct a statistics course for students in nonquantitative fields, with a goal of integrating statistical material with students' substantive interests, using student-focused teaching methods and technology to increase student involvement. We demonstrate this kind of hybrid course with the example of an introductory applied statistics class, taught at both the University of Toronto's Anne Tanenbaum Center for Jewish Studies and the United States Naval Academy.
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