ELEMENTARY PRESERVICE TEACHERS' REASONING ABOUT MODELING A “FAMILY FACTORY” WITH TINKERPLOTS – A PILOT STUDY
DOI:
https://doi.org/10.52041/serj.v16i2.192Keywords:
Statistics education research, Preservice teacher education, Data modelingAbstract
Connecting data and chance is fundamental in statistics curricula. The use of software like TinkerPlots can bridge both worlds because the TinkerPlots Sampler supports learners in expressive modeling. We conducted a study with elementary preservice teachers with a basic university education in statistics. They were asked to set up and evaluate their own models with TinkerPlots by using a real and open dataset they were given. In this article we present students’ processes of setting up and evaluating their models and focus on their reasoning during this process.
First published November 2017 at Statistics Education Research Journal Archives