There are a variety of discrete facility location models that have practical relevance for operations management and management science courses. Integer linear programming (ILP) is the standard technique for solving such problems. An alternative approach that is often conceptually appealing to students is to pose the problem as one of finding the…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

This dissertation addresses the use and modeling of spatio-temporal data for the purposes of providing applications for location based services. One of the major issues in dealing with spatio-temporal data for location based services is the availability and sparseness of such data. Other than the hardware costs associated with collecting movement…

The expansion of global trade in the post-war period is subject to various interpretations. Some stress the trade-promoting role of the novel features in the world economy; some insist on the role of traditional factors, such as geographic distance, political difference and cultural dissimilarity, in continuously depressing trade flows; others…

Are highly educated workers better at locating in areas with high labor demand? To answer this question, I use three decades of U.S. Census data to estimate a McFadden-style model of residential location choice. I test for education differentials in the likelihood that young workers reside in states experiencing positive labor demand shocks at the…

The Chinese government's stated objective of student financial aid (SFA) policy is to help students from low-income families to access higher levels of education. This article first explores the possible associations between the distribution of SFA and students' various demographic and academic backgrounds. Then it presents the findings regarding…

This study explored clinical and nonclinical predictors of inpatient hospital admission decisions across a sample of children in foster care over 4 years (N = 13,245). Forty-eight percent of participants were female and the mean age was 13.4 (SD = 3.5 years). Optimal data analysis (Yarnold & Soltysik, 2005) was used to construct a nonlinear…

The longitudinal impacts on school change and student achievement of implementing varied Comprehensive School Reform (CSR) models was investigated in 12 elementary schools in diverse geographic locations. Each school was individually matched and compared to a demographically similar control school on measures of school climate, teacher…

This research study attempts to provide a fuller understanding of policy-related and technical aspects of the migration process. The study bridges the gap between previous research and present concerns of policymakers. The report draws upon longitudinal household data; employs new methodological techniques; and defines explanatory variables to…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…