Automatic Concept Relationships Discovery for an Adaptive E-Course

To make learning process more effective, the educational systems deliver content adapted to specific user needs. Adequate personalization requires the domain of learning to be described explicitly in a particular detail, involving relationships between knowledge elements referred to as concepts. Manual creation of necessary annotations is in the case of larger courses a demanding task. In this paper we tackle a concept relationship discovery problem that is a step in adaptive e-course authoring process. We propose a method of automatic concept relationship discovery for an adaptive e-course. We present two approaches based on domain model graph analysis. We evaluate our method in the domain of programming. (Contains 2 figures and 1 table.) [Funding was provided by the Cultural and Educational Grant Agency of the Slovak Republic. For the complete proceedings, "Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009)," see ED539041.]