"A flavor of the CATALST Course: Using randomization-based methods in an introductory statistics course"
Presented by Laura Le, Laura Ziegler, and Rebekah Isaak
As noted several times at the last USCOTS in 2011, randomization-based methods are the next big thing in teaching introductory statistics. The purpose of this session is to give participants a flavor of a new introductory statistics course, the CATALST Course, which focuses on ideas of randomness, randomization tests and bootstrap intervals. In the spirit of the active learning environment that is fostered in the course, this interactive workshop will encourage discussion and participation from all attendees. It will include examples of activities to demonstrate the progression of key concepts in the course, examples of assessments used in the course, details on how the course works and is taught, reflections on teaching the course and reactions of the modern student to the course. It will also include a demonstration of an innovative new technology tool called TinkerPlots™. Attendees will receive copies of the course materials, including activities, assessments, and lesson plans.
Keywords: statistics education, introductory statistics, active learning, non-parametric methods
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