W09: Using Games to Teach Data-Based Decision Making in Introductory Statistics Courses (1/2)


Shonda Kuiper (Grinnell College) & Rod Sturdivant (Baylor)


Schedule

Friday, June 25, 11:00 am – 1:00 pm ET
Friday, June 25, 1:30 pm – 3:30 pm ET

Abstract

Through our current National Science Foundation project, we have developed freely available online materials that:

  1. Encourage group work
  2. Engage students
  3. Improve communication
  4. Help students see the importance of multivariate thinking, and
  5. Connect materials from their statistics courses to the analyses they see in daily media and news outlets.

This work includes interactive web-based games, data visualizations, simulations, and corresponding lab activities that are accessible for students at all levels. While these activities are engaging, our focus is on helping students understand the importance of properly making data-based decisions and connecting these activities to contexts that are meaningful in their own lives. Each participant will have an opportunity to experiment with multiple types of fun and interactive activities that focus on core statistical issues that are often challenging to teach with traditional textbooks, such as working with messy data, data relevance, violating assumptions, and connecting core ideas across multiple subjects. Participants only need a background in introductory statistics. While not required, we are particularly interested in finding participants who would be willing to test these materials in their introductory or advanced courses in the fall of 2021.


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