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…

Purpose: Marginalizing dynamics can emerge in school communities that are experiencing rapid demographic change, even when led by equity-oriented principals. The purpose of this article is to consider how educators can serve as transformative leaders through their performing cultural work that addresses inequity, crosses sociocultural boundaries,…