  Student modelling and agent classified rules learning as applied in the
development of the intelligent Preassessment System has been presented in
[10],[11]. In this paper, we now demystify the theory behind the development of
the pre-assessment system followed by some computational experimentation and
graph visualisation of the agent classified rules learning algorithm in the
estimation and prediction of classified rules. In addition, we present some
preliminary results of the pre-assessment system evaluation. From the results,
it is gathered that the system has performed according to its design
specification.
