Over the past decade, research on dropout prevention has become focused on using evidence-based practice, and data-driven decisions, to mitigate students' dropping out of high school and instead, support and prepare students for career and college. Early warning systems or on-track indicators, in which readily available student-level data are used…

Longitudinal Data Systems (LDS) house student data spanning multiple years and schools. First and foremost among LDS information resources is the Data Quality Campaign (DQC). The DQC is a nationwide consortium assembled to support states, districts, and schools as they design and implement data systems to improve student outcomes. The research and…

A recent report on the impact of dual enrollment programs noted that "despite the popularity and growth of dual enrollment programs, little is known about their efficacy" (Karp, Calcagno, Hughes, Jeong, & Bailey, 2007). Furthermore, much of what is known tends to focus on "postsecondary"--full-time as opposed to part-time…

Research led by the Consortium on Chicago Public School Research (University of Chicago) and the Center for Social Organization of Schools (Johns Hopkins University), has identified specific indicators--students' academic characteristics--that provide early signals that students are on a path toward dropping out of high school. Measured at…

This paper presents a list of resources on what states are doing on the topic of Black male dropouts. These resources are taken from the report abstracts or summaries. This paper is a response to a request asking for these resources. (Contains 5 footnotes.)