Rethinking Assessment of Student Learning in Statistics Courses


Authors: 
Joan GARFIELD, Andrew ZIEFFLER, Daniel KAPLAN, George W. COBB,<br>Beth L. CHANCE, and John P. HOLCOMB
Volume: 
65(1)
Pages: 
online
Year: 
2011
Publisher: 
The American Statistician
URL: 
http://pubs.amstat.org/doi/pdf/10.1198/tast.2011.08241
Abstract: 

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

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education

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