Student noncompletion factors and targeted resource allocation: a predictive model

As an increasing higher priority, United Kingdom higher education institutions are introducing strategies to reduce student noncompletion rates. However, current measures of noncompletion make no allowance for the fluid characteristics of the higher education environment. Attention must be given to the characteristics of such an environment, and how this environment influences noncompletion. It is from this perspective that a preliminary model of the teaching and learning environment has been developed. It is proposed that the underlying nature of such an environment can be captured using a grounded theory methodology and implemented as a Bayesian vector auto regression model