Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…

Racial and ethnic disproportionality in discipline (REDD) represents a longstanding and pervasive issue in the United States educational system. However, researchers and interventionists have not sufficiently provided educators with appropriate frameworks and feasible tools to disrupt REDD and promote equity. The goal of this paper is to present a…

As career and technical education (CTE) has evolved, many school districts that offer high-quality CTE programs such as career academies have found that these programs attract disproportionate numbers of students from historically advantaged populations. Drawing on data from a study of career academies in a large California school district, this…

As interventions show promise for reducing school discipline disparities, it is important to understand what variables increase educators' commitment toward addressing racial equity in schools. In-depth interviews were conducted with a purposeful sample of 15 educators asked to describe pivotal events that shifted their own or others' active…