Knowledge Representation and Acquisition for Intelligent Tutoring Systems

Abstract

Intelligent Tutoring System (ITS) Authoring Tools have successfully been able to mechanise the creation of the intelligent components of the ITS. However, each of these components have a high level of coupling with the domain model, which is used to store the domain knowledge. This domain model must be complete and accurate otherwise the tutor will not perform effectively. The process of creating the domain model remains problematic due to the large amount of time that must be invested. This research investigates methods for simplifying and automating the process of creating the domain model. The focus is on improving the architecture and representation using XML and the Model-Driven Architecture (MDA) to aid portability and reuse.