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Article
Rethinking Assessment of Student Learning in Statistics Courses
American Statistician
  • Joan Garfield, University of Minnesota
  • Andrew Zieffler, University of Minnesota
  • Daniel Kaplan, Macalester College
  • George W. Cobb, Mount Holyoke College
  • Beth L. Chance, California Polytechnic State University - San Luis Obispo
  • John P Holcomb, Cleveland State University
Document Type
Article
Publication Date
1-1-2011
Abstract

Although much attention has been paid to issues around student assessment, for most introductory statistics courses few changes have taken place in the ways students are assessed. The assessment literature describes three foundational elements—cognition, observation, and interpretation—that comprise an “assessment triangle” underlying all assessments. However, most instructors focus primarily on the second component: tasks that are used to produce grades. This article focuses on three sections written by leading statistics educators who describe some innovative and even provocative approaches to rethinking student assessment in statistics classes.

DOI
10.1198/tast.2011.08241
Citation Information
Garfield, J., Zieffler, A., Kaplan, D., Cobb, G. W., Chance, B. L., & Holcomb, J. P. (2011). Rethinking assessment of student learning in statistics courses. The American Statistician, 65(1), 1-10.