Featured resource: Enhancing Data Science and Statistics Teacher Education with E-Modules

ESTEEM: Enhancing Data Science and Statistics Teacher Education with E-Modules
ESTEEM: Enhancing Data Science and Statistics Teacher Education with E-Modules

This month's MTEP featured resource is ESTEEM: Enhancing Data Science and Statistics Teacher Education with E-Modules. The project aims to transform undergraduate teacher preparation so that future teachers are prepared to effectively teach modern data science and statistics.

Purpose
ESTEEM II (2022-2027) is a collaborative project among researchers at North Carolina State University (Hollylynne Lee, Gemma Mojica); Eastern Michigan University (Stephanie Casey, Transformative Eastern Michigan Mathematics Educators MTEP team leader); the University of Southern Indiana (Rick Hudson); and the Concord Consortium (Bill Finzer). The team brings together expertise in curriculum and software development, research, and teacher education. ESTEEM II began in late 2022 and builds on the success of ESTEEM I (2016-2022) which facilitated integration of statistics content and pedagogy into undergraduate mathematics teacher preparation by providing faculty with technological and curricular resources, networking experiences, and ongoing support.

ESTEEM II will address three primary goals:

  1. Investigate the current systems in undergraduate teacher preparation for teaching data science and statistics
  2. Build and sustain a data science and statistics teacher education networked improvement community
  3. Develop, curate and disseminate high quality data science and statistics teacher education curriculum materials
Broader impact
Having data-literate citizens and students prepared to pursue data-intensive careers and STEM pathways is a critical societal concern. ESTEEM II's efforts will result in better prepared educators who will teach data-rich activities and courses in K-12 schools and ignite students’ passion, curiosity and skills for solving societal issues with data. CODAP, a free web-based data tool, will be utilized in ESTEEM’s efforts. This supports wide-scale adoption and an easy-to-use technology for learning and doing DS&S in teacher education programs, university courses, and K-12 classrooms.

About
Learn more about the project team.

Resources
See helpful tools and information for courses and programs.