Are you an educational practitioner interested in gaining expertise in leading methods and tools to instrument and analyze learning? Apply to be an IES Data Science for Education Fellow!
DS4EDU is a 1-year fellowship that combines foundational skills development with training in advanced data science for education methods and tools. Participants work closely with CMU scientists while advancing a personally-defined project – fellows will complete the program with a project artifact that supports their profession goals; strong professional relationships with their mentors and cohort; new skills in advanced data science for education methods and tools; and expanded capacity to lead in their field.
About DS4EDU
Designed to support learning professionals with a diverse set of skills and experiences, this 1-year fellowship provides training in both educational data science methods and the types of edtech tools that are best suited to generating and analyzing robust learning data. Supported by the Department of Education’s Institute for Education Sciences (IES), the DS4EDU program will support cohorts of 25 participants, who spend their fellowship working closely with a team of leading CMU learning and data scientists. The program combines foundational skills in data science and instructional design with training on advanced methods and tools to instrument and research learning. The program emphasizes a trainee-designated project that is the focus of each fellow’s work over the year.
Who Should Apply?
The program is designed for learning professionals – practitioners such as instructional designers, educational technologists, administrators, policymakers, teaching consultants and assessment specialists, product owners and educational researchers. Potential candidates include anyone who engages with learning technologies, contributes to product design, or is positioned to conduct learning data analysis and effect data-driven improvement of educational products and learning experiences.
Visit the DS4EDU website to learn more