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…

Nearly 7,000 students drop out of the nation's public high schools each school day, and 3,000 of them are in the Southern Regional Education Board (SREB) states. Altogether, an estimated 1.3 million teenagers in the United States abandon high school each year without earning a diploma. In 1,700 of the nation's high schools, less than 60 percent of…