Models of conceptualizing and measuring statistical knowledge for teaching: A critical review

Author:

Ozturk Aslihan Batur1ORCID,Baki Adnan2ORCID

Affiliation:

1. Department of Mathematics Education, Faculty of Education, Artvin Coruh University, Artvin, TÜRKİYE

2. Department of Mathematics Education, Fatih Faculty of Education, Trabzon University, Trabzon, TÜRKİYE

Abstract

Since it has become necessary for each individual to be statistically literate, statistical education research has taken teachers’ competencies into its agenda. The knowledge needed to teach statistics differs from the knowledge needed to teach mathematics since statistics is different from mathematics. Teachers and researchers need to consider these differences and be aware of the challenges of statistics teaching. This article focuses on the nature of statistical knowledge for teaching (SKT). Models of conceptualizing and measuring SKT from research literature were reviewed critically. The strengths and weaknesses of models were discussed. The article concludes with some implications for teacher education and research.

Publisher

Modestum Ltd

Reference66 articles.

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2. Ball, D. L., Thames, M. H., & Phelps, G. (2005). Articulating domains of mathematical knowledge for teaching. https://deborahloewenbergball.com/#intro

3. Ball, D. L., Thames, M. H., & Phelps, G. (2008). Content knowledge for teaching: What makes it special? Journal of Teacher Education, 59(5), 389-407. https://doi.org/10.1177/0022487108324554

4. Bargagliotti, A., Franklin, C., Arnold, P., Gould, R., Johnson, S., Perez, L., & Spangler, D. (2020). Pre-K-12 guidelines for assessment and instruction in statistics education II (GAISE II): A framework for statistics and data science education. American Statistical Association and National Council of Teachers of Mathematics.

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