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…

This case study examines José, a bilingual Latino fifth-grader, and his complex and dynamic engagements in "travesuras" (mischievous behaviors). José's "travesuras" served to disassociate him from being labeled a "schoolboy." This disassociation was evident in how José: (1) renounced "school-like" work and…