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…

The present study employed an alternating-treatments design to compare the differential effect of group contingencies on the improvement of homework completion and accuracy of students with disabilities in a self-contained fifth-grade classroom. Generally, past investigations have indicated a positive association between homework performance and…