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…

Selective mutism is a childhood disorder that most school psychologists and educational providers will come across at least once in their careers. Selective mutism is associated with significant impairment in educational settings where speaking is necessary for academic and social skill development. Effective treatments for selective mutism…

The authors used a withdrawal design to evaluate the effects of a modified Color Wheel System (M-CWS) on the on-task behavior of 7 students enrolled in the 4th grade. Standard CWS procedures were modified to include a 4th set of rules designed to set behavioral expectation for cooperative learning activities. Mean data showed that immediately…

The 4Rs Program (Reading, Writing, Respect and Resolution) is a "dual focus" whole school universal intervention designed to promote literacy development and social-emotional learning, that is currently being rigorously evaluated using a school-randomized trial of 18 elementary schools (9 intervention, 9 control) in New York City. The…

The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…