Principles of Instructional Design for Supporting the Development of Students’ Statistical Reasoning

Author:

Cobb Paul,McClain Kay

Publisher

Springer Netherlands

Reference29 articles.

1. Biehler, R. (1993). Software tools and mathematics education: The case of statistics. In C. Keitel & K. Ruthven (Eds.), Learning from computers: Mathematics education and technology (pp. 68–100). Berlin: Springer.

2. Biehler, R., & Steinbring, H. (1991). Entdeckende Statistik, Strenget-und-Blatter, Boxplots: Konzepte, Begrundungen und Enfahrungen eines Unterrichtsversuches [Explorations in statistics, stem-and-leaf, boxplots: Concepts, justifications, and experience in a teaching experiment]. Der Mathematikunterricht, 37(6), 5–32.

3. Bransford, J., Brown, A. L., & Cocking, R. R. (Eds.) (2000). How people learn: Brain, mind, experience, and school. Washington, DC: National Academy Press.

4. Cobb, G. W., & Moore, D. S. (1997). Mathematics, statistics, and teaching. American Mathematical Monthly, 104, 801–823.

5. Cobb, P. (1999). Individual and collective mathematical learning: The case of statistical data analysis. Mathematical Thinking and Learning, 1, 5–44.

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