Dynamic Course Generation

Abstract

This paper presents an approach and architecture for Dynamic Course Generation, based on applying AI planning techniques to a structured representation of the domain knowledge and allowing explicit representation of teaching expertise. An individual course is generated automatically for a given teaching goal and is dynamically adapted at run-time to a student's individual progress and preferences according to the teaching expertise. The separate representation of the teaching materials from the domain structure allows an easier updating and re-use of ready CAL materials. In this way our approach provides an alternative to traditional CALauthoring. An implementation in a simple engineering domain is described . An evaluation of the benefits of this approach in terms of cost-effectiveness for authoring is shown.