This is a session of Topic 2: Statistics education at the school level

Session 2B (Thursday 12th, 14:00-15:30,   Level 2 - Seminar Room 3)

Engaging young learners in using models and modelling in data investigations (Modelling Part 2)

Organizer

• Katie Makar (Australia) : 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 second of two sessions with a focus on statistical modelling.

Papers