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 report uses a unique set of data obtained from the Kids Integrated Data System (KIDS), which is housed at the University of Pennsylvania's Cartographic Modeling Laboratory. The KIDS system merges individual-level data on young people from the School District of Philadelphia and the city's social service agencies, including the Department of…