Statistical Knowledge for Teaching in a Data Science Era

Abstract

Statistical knowledge for teaching (SKT) frameworks provide guidance on what to include in statistics courses for prospective and practicing teachers. Existing SKT frameworks describe the content knowledge and pedagogical content knowledge needed to teach statistics. They also compare the knowledge needed to teach statistics to the knowledge needed to teach mathematics. Given current efforts to incorporate data science in Pre-K-12 curricula, it is important to extend SKT frameworks to consider how the knowledge needed to teach statistics compares to the knowledge needed to teach data science. This breakout session will offer conjectures about this matter. Participants will also be encouraged to offer their thoughts on how the knowledge needed to teach statistics compares to that needed to teach data science. The overall goal will be to identify essential experiences to include in statistics courses for teachers and update existing SKT frameworks for use in a data science era.