This research focuses on developing and implementing a continuous Naïve Bayesian classifier for GEAR courses at Rio Salado Community College. Previous implementation efforts of a discrete version did not predict as well, 70%, and had deployment issues. This predictive model has higher prediction, over 90%, accuracy for both at-risk and successful…

To date, few studies have quantitatively examined within-group differences among charter schools. This is largely due to the lack of a workable typology with which to describe and classify schools. This study fills that gap with a two dimensional typology constructed from a sample of 1182 charter schools in five states--Arizona, California,…