This paper is from Session 2E: Linking research and practice in teaching and learning statistics at the school level
which comes under Topic 2: Statistics education at the school level
Paper 2E1 (Tuesday 10th, 16:00-17:30)
Three paradigms to develop students' statistical reasoning
Presenter
- Dani Ben-Zvi (The University of Haifa, Israel)
Abstract
This article is a reflection on my statistics education research that aimed at understanding the emergence of young students’ statistical reasoning in authentic data investigations in ‘Connections’ – a technology-enhanced learning environment. Three main evolving paradigms that guided us are described: EDA – children investigate sampled data they have collected without making explicit inferences to a larger population; ISI – children make inferences informally from sample to population; and Modeling – children use computerized tools to model the phenomenon they study and draw random samples from the model to study probabilistic ideas and improve their model. In each of these three paradigms, a short rationale, an example of learning outcomes, and learned lessons are provided. Current statistics education challenges are discussed in light of these paradigms.