Statistical modeling is emerging as a fertile research environment in which to promote and
learn about student statistical reasoning processes. We outline a paradigm shift toward a …

Many decisions in politics, economics, and society are based on data and statistics. In order
to participate as a responsible citizen, it is essential to have a solid grounding in reasoning …

The purpose of this chapter is to provide an updated overview of digital technologies
relevant to statistics education, and to summarize what is currently known about how these …

While models are an important concept in statistics, few introductory statistics courses at the
tertiary level put models at the core of the curriculum. This paper reports on a radically …

The technological revolution that has finally permeated K-12 education has direct
implications for modern teacher educators whose “Hippocratic oath” is to best prepare future …

Little is known about the way that teachers articulate notions of variation in their own words.
The study reported here was conducted with 17 prospective secondary math and science …

Research about statistics teachers faces a unique challenge. It is not sufficient to account
only for teachers' cognition and affect in regard to the subject matter of statistics. We also …

As new societal learning goals are formulated and people and technology shape, grow, and
challenge statistical practice and thinking, educators respond through researching …

A fundamental aspect of statistical inference is representation of real-world data using
statistical models. This article analyzes students' articulations of statistical models and …

Statistical knowledge for teaching is not precisely equivalent to statistics subject matter
knowledge. Teachers must know how to make statistics understandable to others as well as …