This paper is from Session 9A: The design of digital tools and technology-enhanced learning environments for teaching statistics

which comes under Topic 9: Technology in statistics education

Students’ emergent roles in developing their reasoning about uncertainty and modeling

Presenter

• Keren Aridor-Berger (University of Haifa, Israel)

Co-author

• Dani Ben-Zvi (University of Haifa, Israel)

Abstract

Roles that students take in solving problems can help in guiding and scaffolding their learning and meaning making. We present a case study – part of a UK-Israel research project – that focuses on the emerging roles spontaneously developed by Israeli eighth-grade students (14 years old) in solving a scientific-statistical inquiry task using TinkerPlots2. The task integrated four design approaches: Exploratory Data Analysis, Active Graphing, modeling, and gaming. We examine how this task design played a role in this emergence of students’ roles and how they respectively adopted perspectives on uncertainty and modeling. Implications of the findings are discussed.