Framework For Teacher Knowledge And Understanding About Probability


Book: 
Proceedings of the sixth international conference on teaching statistics, Developing a statistically literate society
Authors: 
Kvatinsky, T. & Even, R.
Editors: 
Phillips, B.
Category: 
Pages: 
Online
Year: 
2002
Publisher: 
International Statistical Institute
URL: 
http://www.stat.auckland.ac.nz/~iase/publications/1/6a4_kvat.pdf
Abstract: 

Theoretical frameworks for analyzing teacher subject-matter knowledge in specific mathematical domains are rare. In this paper we propose a theoretical framework for teacher subject-matter knowledge and understanding about probability. The framework comprises of seven aspects: essential features, the strength of probability, different representations and models, alternative ways of approaching, basic repertoire, different forms of knowledge and understanding, and knowledge about mathematics. We explain the importance of each aspect for teacher knowledge of probability, discuss its possible nature and illustrate our claims with specific examples.

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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