This issue brief describes the programs and systems of the MDRC Center for Data Insights. Ranging from simple descriptive summaries to advanced machine learning algorithms, the Center's eight current projects aim to use institutions' increasingly rich data to provide new insights that can help refine and target their client's services: (1)…

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 descriptive study provides a snapshot of the correlations between a child's learning experiences a year before entering kindergarten and the reading/literacy skills a child has entering kindergarten. Early literacy assessment scores were used to evaluate the effectiveness of four categories of learning experiences prior to entering…