10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan
Full topic list
This is a session of Topic 2: Statistics education at the school level

Session 2A (Wednesday 11th, 11:00-12:30,   Level 3 - Conference Room D)

Learning to reason with statistical models and modeling at the school level (Part 1)



Statistical modelling has been portrayed as a possible bridge between data and chance, statistics and probability, real world context and model, and formal and informal pedagogies. Furthermore, being immersed in modelling-based activities can help learners to develop their statistical reasoning about informal statistical inference (ISI), uncertainty, context, data and distribution, variability, the aggregate and more (Garfield & Ben-Zvi, 2008). Recent developments in technology (e.g., TinkerPlots 2) can support integrating exploratory data analysis approaches and probabilistic models, which allow for experimentation (e.g., improving models, simulations) and generation of data (e.g., drawing and studying random samples from a model) for learning informal inferential reasoning (IIR) (Konold, Harradine, & Kazak, 2007). This is the first of two sessions with a focus on statistical modelling.


PaperTitlePresenter / Co-author(s)
2A1Scaffolding Year 8 students’ statistical modelling reasoning using Follow Up Tasks to a Model Eliciting ActivityAnne Patel (New Zealand)
Maxine Pfannkuch (New Zealand)
2A2Teacher assistance in modeling chance processesPanchompoo Wisittanawat (United States)
2A3Model Comparisons as a means of providing an informal quantitative estimation for statistical uncertaintyMichal Dvir (Israel)
Dani Ben-Zvi (Israel)