This paper defines Bayesian network models and examines their applications to IRT-based cognitive diagnostic modeling. These models are especially suited to building inference engines designed to be synchronous with the finer grained student models that arise in skills diagnostic assessment. Aspects of the theory and use of Bayesian network models…

With so many unanswered questions and controversies regarding intelligence, testing in general, and testing diverse students in particular, what can educators in gifted education do to ensure that these students have access to and are represented in gifted education programs and services? In this monograph, the author examines test bias by first…