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SUMMARY:Jo Hardin (Pomona College)
DTSTART:20210119T170000Z
DTEND:20210119T180000Z
DTSTAMP:20260423T004728Z
UID:ESME/11
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/ESME/11/">Th
 e Value of Computational Thinking in Statistics Education</a>\nby Jo Hardi
 n (Pomona College) as part of Online Seminar On Undergraduate Mathematics 
 Education\n\n\nAbstract\nIn a seminal paper\, Nolan and Temple Lang (2010)
  argued for the fundamental role of computing in the statistics curriculum
 . In the intervening decade the statistics education community has acknowl
 edged that computational skills are as important to statistics and data sc
 ience practice as mathematics. There remains a notable gap\, however\, bet
 ween our intentions and our actions. To understand that gap\, together wit
 h Nick Horton\, we assembled a collection of papers for a special issue of
  the Journal of Statistics and Data Science Education (2021) focused on wh
 at has changed over the last ten years with respect to computing in the st
 atistics curriculum. Broadly\, the collection of papers (1) suggest creati
 ve structures to integrate computing\, (2) describe novel data science ski
 lls and habits\, and (3) propose ways to teach computational thinking. My 
 talk describes the special issue with particular focus on the last of the 
 three aspects: the role of computational thinking: The computer as part of
  the thinking process and not only a tool for implementing mathematical th
 eory.\n
LOCATION:https://researchseminars.org/talk/ESME/11/
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