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 the 2012/13 school year American Indian students accounted for 1.1 percent of K-12 students nationwide and 1.4 percent of K-12 students in North Carolina (U.S. Department of Education, n.d.). Research has identified substantial achievement gaps between American Indian and other students on national tests, in graduation rates, and in…

This study examined the effect of public school choice on adult crime and school-based outcomes. Prior to the 2002-03 school year, the Charlotte-Mecklenberg school district switched from forced desegregation to a district-wide open enrollment lottery. This study focuses on more than 2,000 male students in grades 6-11 who participated in the subset…

The study reviewed in this paper examined the effect of school choice on the criminal activity, academic achievement, and high school graduation rate of more than 2,000 male middle and high school students in North Carolina's Charlotte-Mecklenburg school district. For the 2002-03 school year, all district students were given the choice to either…