Methodological Aspects of Knowledge Types for Intelligent Tutoring System Design

The advancement of using the Artificial Intelligence (AI) methods and techniques in design the Intelligent Tutoring Systems (ITSs) makes the understanding them more difficult, so that the teachers are less and less prepared to accept these systems. As a result, the gap between the researchers in the field of ITSs and the educational community is constantly widening. While ITSs are becoming more common and proving to be increasingly effective, each one must still be built from scratch at a significant cost. Also the present ITSs need quite big development environments, huge computing resources and, in consequence, are expensive and hardly portable to personal computers. This paper describes our efforts toward developing uniform data and control structures that can be used by a wide circle of authors, e.g., domain experts, teachers, curriculum developers, etc., who are involved in the building of ITSs, i.e. the model of the ITSs framework, the GET-BITS model.