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Article
Prospective Teachers' Use of Representations in Solving Statistical Tasks with Dynamic Statistical Software
Proceedings of the 33rd Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education
  • Hollylynne Lee, North Carolina State University at Raleigh
  • Shannon O. Driskell, University of Dayton
  • Suzanne R. Harper, Miami University - Oxford
  • Keith R. Leatham, Brigham Young University - Provo
  • Gladis Kersaint, University of South Florida
  • Robin L. Angotti, University of Washington - Bothell Campus
Document Type
Article
Publication Date
1-1-2011
Abstract

This study examined a random stratified sample (n=62) of prospective teachers' work across eight institutions on three tasks that utilized dynamic statistical software. Our work was guided by considering how teachers may utilize their statistical knowledge and technological statistical knowledge to engage in cycles of investigation. Although teachers did not tend to take full advantage of dynamic linking capabilities, they utilized a large variety of graphical representations and often added statistical measures or other augmentations to graphs as part of their analysis.

Inclusive pages
268-275
ISBN/ISSN
978-0-615-54217-1
Document Version
Published Version
Comments

Permission documentation is on file.

Publisher
North American Chapter of the International Group for the Psychology of Mathematics Education
Peer Reviewed
Yes
Citation Information
Hollylynne Lee, Shannon O. Driskell, Suzanne R. Harper, Keith R. Leatham, et al.. "Prospective Teachers' Use of Representations in Solving Statistical Tasks with Dynamic Statistical Software" Proceedings of the 33rd Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (2011)
Available at: http://works.bepress.com/shannon_driskell/7/