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 an earlier article (EJ1058920), Lee Kern and Joseph H. Wehby identified the reasons and process for using adaptive intensive behavioral intervention. Kern and Wehby use this article to present a fictional example of how the intervention is applied. Isaac, a 12 year old, 7th grade student at Highland Middle School, had a history of behavior…