This report from the Northeast and Islands Regional Educational Laboratory serves as a guide for educators who are interested in using data to improve student learning. The report synthesizes existing literature on data-driven high school reform, discusses barriers to effective data use, and provides strategies for capacity building around data-driven reform. The authors also provide examples of how they have worked with low-performing schools to implement data-driven reform based on the Breaking Ranks Model.
Data-Driven High School Reform: The Breaking Ranks Model
CCRS Center Publication
Northeast and Islands Regional Educational Laboratory at Brown University