Statistical reasoning learning environment


Authors: 
Ben-Zvi, D.
Category: 
Volume: 
2(2)
Pages: 
1–13
Year: 
2011
Publisher: 
Ibero-America Journal of Mathematics and Technology Education
Abstract: 

This article describes a model for an interactive inquiry-based statistics learning environment that is designed to develop students’ statistical reasoning. This model is called a “Statistical Reasoning Learning Environment” (SRLE) and is built on the socio-constructivist theory of learning and teaching. This model is based on six principles of instructional design: fundamental statistical ideas, motivating real data sets, inquiry- and data-based classroom activities, innovative technological tools, classroom norms, and alternative assessment. Two examples of SRLEs are briefly discussed.

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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