Learning Axes and Bridging Tools in a Technology-Based Design for Statistics
IJCFML Volume 12, Number 1, ISSN 1382-3892
We introduce a design-based research framework, "learning axes and bridging tools," and demonstrate its application in the preparation and study of an implementation of a middle-school experimental computer-based unit on probability and statistics, "ProbLab" (Probability Laboratory, Abrahamson and Wilensky 2002 [Abrahamson, D., & Wilensky, U. (2002). "ProbLab." Northwestern University, Evanston, IL: The Center for Connected Learning and Computer-Based Modeling, Northwestern University. http://www.ccl.northwestern.edu/curriculum/ProbLab/]). ProbLab is a mixed-media unit, which utilizes traditional tools as well as the "NetLogo" agent-based modeling-and-simulation environment (Wilensky 1999) [Wilensky, U. (1999). "NetLogo." Northwestern University, Evanston, IL: The Center for Connected Learning and Computer-Based Modeling http://www.ccl.northwestern.edu/netlogo/] and "HubNet," its technological extension for facilitating participatory simulation activities in networked classrooms (Wilensky and Stroup 1999a) [Wilensky, U., & Stroup, W. (1999a). "HubNet." Evanston, IL: The Center for Connected Learning and Computer-Based Modeling, Northwestern University]. We will focus on the statistics module of the unit, "Statistics As Multi-Participant Learning-Environment Resource" (S.A.M.P.L.E.R.). The framework shapes the design rationale toward creating and developing learning tools, activities, and facilitation guidelines. The framework then constitutes a data-analysis lens on implementation cases of student insight into the mathematical content. Working with this methodology, a designer begins by focusing on mathematical representations associated with a target concept--the designer problematizes and deconstructs each representation into a pair of historical/cognitive antecedents (idea elements), each lying at the poles of a "learning axis." Next, the designer creates "bridging tools," ambiguous artifacts bearing interaction properties of each of the idea elements, and develops activities with these learning tools that evoke cognitive conflict along the axis. Students reconcile the conflict by means of articulating strategies that embrace both idea elements, thus integrating them into the target concept.
Abrahamson, D. & Wilensky, U. (2007). Learning Axes and Bridging Tools in a Technology-Based Design for Statistics. International Journal of Computers for Mathematical Learning, 12(1), 23-55.