Statistical reasoning of prospective teachers through blended learning

Abstract

Blended learning is a learning model that combines face-to-face learning in classroom with on line learning. This research is a descriptive study that aims to describe the ability of statistical reasoning of prospective teachers through the Blended Learning models. The subjects in this study were 40 students of second year of Mathematics Education Department at Universitas PGRI Palembang in Academic Year 2018/2019. Data collected through written tests and interviews. The test aims to reveal the statistical reasoning of prospective teacher students. The interview aims to explore further about students' statistical reasoning through Blended learning. The results showed that the statistical reasoning of prospective teachers after applying Blended Learning was included in the good category.