Hub for Innovation and Research in Statistics Education

This project aims to develop a freely-available, web-based assessment system that efficiently provides teachers with timely, accurate and actionable feedback about student cognition in probabilistic reasoning.

ESTEEM will facilitate the infusion of statistics content and pedagogy into undergraduate mathematics teacher preparation by providing faculty with technological and curricular resources, networking experiences and ongoing support.

Bringing competency-based approaches into educator preparation, credentialing and professional development by developing a series of micro-credentials for teachers, coaches and administrators.

Noyce METS is designed to increase the number of highly qualified mathematics teachers committed to working with students in high-needs schools.

This course allows participants to learn how to emphasize inferential reasoning 
in teaching statistics through posing different types of investigative questions.

This course allows participants to learn an investigation cycle to teach statistics and to help students explore data to make evidence-based claims.