PROCEEDINGS OF THE 19TH ANNUAL CONFERENCE ON RESEARCH IN UNDERGRADUATE MATHEMATICS EDUCATION
2016
Pittsburgh, Pennsylvania
Using learning trajectories to structure teacher preparation in statistics
Page: 531
As a result of the increased focus on data literacy and data science across the world, there has been a large demand for teacher preparation in statistics. However, exactly how this preparation should be structured remains an open question. The purpose of this paper is to report on the NSF- funded Project-XXX professional development program. Project-XXX provided professional development to enhance teachers’ statistical knowledge for teaching. The project constructed two hypothetical learning trajectories for teacher learning and subsequently used the hypothetical learning trajectories to structure the professional development curriculum. This main goal of this paper is to illustrate how the utilization of the learning trajectory structure to design professional development curriculum allowed participating teachers to develop several aspects of Statistics Knowledge for Teaching (Groth, 2013).