Computational Estimate Visualisation and Evaluation of Agent Classified Rules Learning System

TL;DR

This paper presents a computational visualization and evaluation of an agent classified rules learning system used for student modeling and pre-assessment, including experiments, visualizations, and preliminary system evaluation results.

Contribution

It introduces a visual and computational approach to analyze and evaluate the agent classified rules learning algorithm in an educational pre-assessment context.

Findings

System performed according to design specifications

Visualization aids understanding of rule learning process

Preliminary evaluation shows promising results

Abstract

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.