Prospective Teachers' Statistical Problem Solving with Dynamic Technology:
Hollylynne S. Lee, North Carolina State University, United States ; Gladis Kersaint, University of South Florida, United States ; Suzanne R. Harper, Miami University, United States ; Shannon O. S. Driskell, University of Dayton, United States ; Keith Leatham, Brigham Young University, United States
Society for Information Technology & Teacher Education International Conference, in Austin, Texas, USA ISBN 978-1-880094-92-1 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
This paper received the National Technology Leadership Initiative award for Best Research Paper at the 2012 conference of the Association of Mathematics Teacher Educators. The study examined a random stratified sample (n=62) of prospective teachers' work across eight institutions on three tasks that utilized dynamic statistical software. We considered how teachers utilize their statistical knowledge and technological statistical knowledge to engage in cycles of investigation. We focus on characterizing their problem solving and the ways they represent and explore data. Overall our findings suggest that teachers create appropriate graphical representations and use appropriate statistical measures in their work. About half of the teachers also employed the use of graphical augmentations to enhance their analysis of data distributions. However, only about 40% of teachers seemed to take full advantage of the ability to dynamically link representations to support their statistical problem solving.
Lee, H.S., Kersaint, G., Harper, S.R., Driskell, S.O.S. & Leatham, K. (2012). Prospective Teachers' Statistical Problem Solving with Dynamic Technology:. In P. Resta (Ed.), Proceedings of SITE 2012--Society for Information Technology & Teacher Education International Conference (pp. 4925-4938). Austin, Texas, USA: Association for the Advancement of Computing in Education (AACE).