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A Study on "Comparing Two Data Sets" as Effective Tasks for the Education of Pre-Service Elementary Teachers  

Tak, Byungjoo (Gyeongin National University of Education)
Ko, Eun-Sung (Jeonju National University of Education)
Jee, Young Myon (Daejeon Jangdae Middle School)
Publication Information
School Mathematics / v.19, no.4, 2017 , pp. 691-712 More about this Journal
Abstract
It is an important to develop teachers' statistical reasoning or thinking by teacher education. In this study, the "comparing two data sets" tasks is focused as a way to develop pre-service elementary teachers' reasoning about core ideas of statistics such as distribution, variability, center, and spread. 6 teams of each 4 pre-service elementary teachers participated on the tasks and their presentations are analyzed based on Pfannkuch's (2006) teachers' inference model in comparing two data sets. As a result, they paid attention to the distribution and variability in the statistical problem solving by the "comparing two data sets" tasks, and used their contextual knowledge to make a statistical decision. In addition, they used some statistics and graphs as the reference for statistical communication, which is expected to provide implications for improving statistical education. The finding implies that the "comparing two data sets" tasks can be used to develop statistical reasoning of pre-service elementary teachers. Some recommendations are suggested for teacher education by these tasks.
Keywords
comparing two data sets; pre-service elementary teacher; statistical reasoning; statistics education;
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