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Activity Number: 383 - Teaching with Data for the Public Good
Type: Invited
Date/Time: Wednesday, August 5, 2020 : 1:00 PM to 2:50 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #309489
Title: Inside-Out Statistics: Teaching Evidence-Based Reasoning in Introductory Courses
Author(s): Kelly Nicole Bodwin*
Companies: California Polytechnic State University
Keywords: education; data science; pedagogy

A classic introductory statistics class typically covers, one by one, a suite of basic statistical tests. In this talk, I argue for an “inside-out” approach to introductory statistics, in which evidence-based reasoning is the focal point rather than specific procedures. I will share my experiences in teaching a 10-week Introductory Statistics course, of which the first 5 weeks of material did not touch upon any formal statistical tests. I offer for discussion three conceptual colloquialisms on which the course was built: “Imaginary Results”, “Expectations vs. Reality”, and “Are You Convinced?” In addition, I will share how creative coding tasks were incorporated into the course to promote conceptual understanding.

Authors who are presenting talks have a * after their name.

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