Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

In 2008-09, results from End-of-Grade (EOG) reading and mathematics tests in WCPSS continued to demonstrate an upward trend across grade levels and student subgroups. Disaggregation of results by ethnicity, income level, disability status, and English proficiency status showed that achievement gaps between historically underperforming subgroups…