As district- and school-level leaders face increasing pressure from federal, state, and local accountability mandates there has been increased dependence on using and analyzing student data to help improve student performance. While the reporting of disaggregated data by student subgroup confirms that achievement gaps exist, it does not provide…

The No Child Left Behind Act increases pressure on schools and districts to use standardized state test data. Seeking to learn about the process of turning accountability data into actionable information, this paper presents findings from three case studies of small to medium sized school districts. The study examines the flow of state science…

In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improving real-time decision support systems in healthcare. Our approach consists of three main concepts: data gathering and preprocessing, modeling, and deployment. We introduce the notion of offline and semi-offline modeling to…

E-learning has become a significant aspect of training and education in the worldwide information economy as an attempt to create and facilitate a competent global work force. "Cases on Successful E-Learning Practices in the Developed and Developing World: Methods for the Global Information Economy" provides eclectic accounts of case…