Dynamic Course Generation
Julita Vassileva · 2015
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 the 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 CAL-authoring. 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.