Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…

The problem of racial and ethnic discipline disproportionality is both long-standing and widespread. Educators must address this issue by identifying rates of discipline disproportionality, taking steps to reduce it, and monitoring the effects of intervention on disproportionality. The purpose of this guide is to provide a reference for…

This conceptual article reviews current research on racial disparities in disciplinary practices in early childhood education and work to address these issues within a positive behavior support (PBS) framework. Building largely on the Pyramid Model, recommendations and a culturally responsive approach are suggested for use within a program-wide…

Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)

The 20th annual report to Congress on the implementation of the Individuals with Disabilities Education Act (IDEA) is divided into four sections organized around a model which views educational results as products of three sets of factors: the context and environment in which the education is provided, student characteristics, and school programs…