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…

School-related problems such as poor academic performance, truancy, frequent suspensions, and grade repeating have been identified as risk factors for adolescent behavior problems. The purpose of the current study was to examine the effect of school-related factors on violent criminality in adulthood, based on data from the National Longitudinal…