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11 - Guiding Inquiry-Based Math Learning

Published online by Cambridge University Press:  05 June 2012

By
Paul Cobb  and
Kay McClain
Edited by
R. Keith Sawyer
Paul Cobb
Affiliation:
Vanderbilt University
Kay McClain
Affiliation:
Vanderbilt University
R. Keith Sawyer
Affiliation:
Washington University, St Louis
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Summary

In this chapter, we present a case study of a classroom approach whose development was inspired by learning sciences research. We conducted a sequence of classroom design experiments in urban seventh and eighth grade classrooms (see Barab, this volume, and Confrey, this volume, for discussions of design experiment methodology) focused on teaching and learning statistical data analysis. During this process, we formulated, tested, and revised specific conjectures about both the process of students' learning in the domain of statistics, and ways to scaffold that learning. The primary products of these design experiments were two sequences of instructional activities: one that focused on the analysis of univariate data and one on bivariate data, and three computer-based data analysis tools that were used in both. In this chapter, we restrict our focus to the first of the two classroom design experiments – the one focused on the analysis of univariate data.

We start by critically examining the traditional instructional goals of middle school math. Learning sciences research rejects a conception of knowledge as consisting of facts and procedures to be memorized; unfortunately, this traditional style of instruction still predominates in most mathematics classrooms. As part of this discussion, we briefly summarize recent developments in both the use of statistics in wider society and in statistics as a discipline. We then describe the initial assessments of students' statistical reasoning, and contrast them with the concluding assessments.

Type
Chapter
Information
The Cambridge Handbook of the Learning Sciences , pp. 171 - 186
Publisher: Cambridge University Press
Print publication year: 2005

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