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)
Organizer
- Dani Ben-Zvi (Israel) : Session chair
Abstract
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.
Papers
| Paper | Title | Presenter / Co-author(s) |
| 2A1 | Scaffolding Year 8 students’ statistical modelling reasoning using Follow Up Tasks to a Model Eliciting Activity | Anne Patel (New Zealand) Maxine Pfannkuch (New Zealand) |
| 2A2 | Teacher assistance in modeling chance processes | Panchompoo Wisittanawat (United States) |
| 2A3 | Model Comparisons as a means of providing an informal quantitative estimation for statistical uncertainty | Michal Dvir (Israel) Dani Ben-Zvi (Israel) |