Evaluation of a hybrid self-improving instructional planner

Abstract

This paper presents the evaluation results of a hybrid self-improving instructional planner based on the case-based reasoning technique. The hybrid approach involves the integration of a case-based instructional planner within existing intelligent tutoring systems (ITS) to enhance the pedagogical component with learning capabilities. Thus, the resulting ITSs become self-improving systems that exhibit two kinds of learning: learning from memorisation and learning from their own experiences.