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Assessing students' statistical problem-solving behaviors in a small group setting


Book: 
The assessment challenge in statistics education
Authors: 
Curcio, F. R., & Artzt, A. F.
Editors: 
Gal, I., & Garfield, J. B.
Type: 
Category: 
Pages: 
123-138
Year: 
1997
Publisher: 
IOS Press
Place: 
Amsterdam, Holland
Abstract: 

The ability to interpret and predict from data presented in graphical form is a higher-order thinking skill that is a necessity in our highly technological society. Recent recommendations for the mathematics and science education communities have therefore stressed the importance of engaging learners in real life statistical tasks given in a setting that will promote effective problem solving. Since the small-group setting has been shown to be a fertile environment in which problem solving can occur, we have used that setting for engaging students in data analysis tasks. However, there is a dearth of ideas related to how to assess students' behavior, thinking, and performance in such a setting. The purpose of this chapter is to describe a framework for assessing students' problem solving behaviors on a graph task as they work within a small-group setting.

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