We present an exercise for teaching the transportation problem using a mix of spatial and randomly generated data. It illustrates the potential of using qualitative and quantitative data and is suitable for undergraduate or introductory business school courses on operations research (OR), logistics, and supply chain management. It poses two…

There is a significant amount of data available about students and their learning activities in many educational systems today. However, these datasets are frequently spread across several different digital services, making it challenging to use them strategically. In addition, there are no established standards for collecting, processing,…

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…