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 study is an evaluative analysis of 13 Music Education programs in Colombia that provide training for secondary school music teachers for 6th to 11th grade in the Colombian education system. The study utilized an analysis matrix from the International Research Project ALFA II-0448-A, which developed a similar study with Latin American and…

There is a very large population of students who struggle with the transition from the middle grades to high school, raising concerns that high school failures are partially a function of poor middle grade preparation. As a result, middle grade practitioners are grappling with questions about what skills students need to succeed in high school,…

This nonexperimental survey research investigated whether enrollment, location, expenditures, percentage of free and reduced lunch and percentage of minority students influenced Georgia's superintendent and board chairperson satisfaction. In addition, this study investigated whether respondents' satisfaction could predict student achievement.…

"Kids Count in Colorado!" is an annual publication of the Colorado Children's Campaign, which provides the best available state- and county-level data to measure and track the education, health and general well-being of the state's children. "Kids Count in Colorado!" informs policy debates and community discussions, serving as…