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.
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
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.
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.
Some of our key organizational partners are:
- Association of Mathematics Teacher Educators
- National Council of Teachers of Mathematics
- American Statistical Association
- NC State Data Science Academy
- Data Science 4 Everyone
- Concord Consortium
- Mathematics Teacher Education Partnership
As our NIC evolves, we will be engaged in faculty professional learning as well as curating, creating and sharing educational resources. We are designing an online space to support this work that can be paired with virtual and in-person convenings.
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