About us
About us
Project goals
We are developing curricular materials that utilize best teaching practices in improving student understanding of statistics and data science for use in high school Algebra I, Algebra II, and Geometry courses. The materials focus on meaning and interpretation rather than formulaic algorithms, which from students perspectives hide what really matters in a statistical investigation. Also available are how-to manuals/guides which are developed collaboratively with in-service high school teachers.
The distinctive feature of these curricular materials is the use of simulation-based inference (SBI) methods, data visualization (DV), and the entire statistical investigation process (6STEPS) to improve students' understanding of the relevance and power of statistics because these approaches are central to statistical thinking and practice. These approaches (as advocated by the American Statistical Association's Guidelines for Assessment and Instruction in Statistics Education).Â
This project is funded by the National Science Foundation (Discovery Research K-12, Award #2201121).
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the project personnel and do not necessarily reflect the views of the National Science Foundation.
Meet the team
Soma Roy, PI
Ruth Carver, Senior Personnel
Beth Chance, Co-PI
Karen McGaughey, Co-PI
Elsa Medina, Co-PI
Todd Swanson, Senior Personnel
Nathan Tintle, Senior Personnel
Jill VanderStoep, Senior Personnel