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

We aim 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 NC State (Hollylynne Lee, Gemma Mojica), Eastern Michigan University (Stephanie Casey), University of Southern Indiana (Rick Hudson) and 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.

Through ESTEEM II, we will address three primary goals:

Investigate the current systems in undergraduate teacher preparation for teaching data science and statistics
Build and sustain a data science and statistics teacher education networked improvement community
Develop, curate and disseminate high quality data science and statistics teacher education curriculum materials

Networked Improvement Community and Online Hub

Transforming undergraduate teacher education in statistics and data science education takes a village. We are using a networked improvement community [NIC] approach to bring together stakeholders and partners who each bring different perspectives, experiences, contexts, and resources that can be harnessed in this collective effort. Meet some of the members of our NIC through their introductions.

We have launched our new Online Hub!

Learn more about this project and our network on our online hub! Discover our latest version of materials, events and professional development opportunities happening with the Data Science and Statistics community, and a repository of shared resources.

ESTEEM Network Hub

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 us

Learn more about the project team

Materials and Resources

See our materials

Dissemination

See our key publications

Hollylynne Lee and Gemma Mojica Aim to Transform Teacher Preparation for Data Science and Statistics Education through $2.5 Million Grant

Why is it Important for K-12 Students to Understand Data and Statistics?

Secondary Math Teacher Candidates Need More Preparation in Statistics

This interview in Journal of Teacher Education Insider features insights from the 2017 article “New Standards Require Teaching More Statistics: Are Preservice Secondary Mathematics Teachers Ready?”

This project is supported by the National Science Foundation under Grants DUE 2141727 and 1625713 awarded to North Carolina State University, DUE 2141716 awarded to Eastern Michigan University, and DUE 2141724 awarded to University of Southern Indiana. Any opinions, findings, and conclusions or recommendations expressed herein are those of the principal investigators and do not necessarily reflect the views of the National Science Foundation.