Route-Type And Landscape-Type Software For Learning Statistical Data Analysis


Book: 
Proceedings of the sixth international conference on teaching statistics, Developing a statistically literate society
Authors: 
Bakker, A.
Editors: 
Phillips, B.
Category: 
Pages: 
Online
Year: 
2002
Publisher: 
International Statistical Institute
URL: 
http://www.stat.auckland.ac.nz/~iase/publications/1/7f1_bakk.pdf
Abstract: 

This paper contrasts two types of educational tools: a route-type series of so-called statistical minitools (Cobb et al., 1997) and a landscape-type construction tool, named Tinkerplots (Konold & Miller, 2001). The design of the minitools is based on a hypothetical learning trajectory (Simon, 1995). Tinkerplots is being designed in collaboration with five mathematics curricula and is open to different approaches. Citing experiences from classroom-based research with students aged ten to thirteen, I show how characteristics of the two types of tools influence the instructional decisions that software designers, curriculum authors, and teachers have to make.

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