A Fractal Component Based Knowledge Domain Model

Knowledge Domain modeling is an important requirement in building adaptive human learning systems. However, the used representation formalisms lack the needed flexibility and reusability those make this requirement efficiently achieved. Thus, the knowledge structure and the content material are neither efficiently adaptable nor easily reusable. Within this paper, we propose a Fractal modeling of a concept-level Knowledge domain. Thus, the knowledge structure, the concepts and their interdependency relationships, is represented using the ADL Fractal as abstract components and binding between them respectively. Also, the content material presenting the associated concepts is implemented as concrete components fulfilling the abstract one. To show the feasibility of the model, we apply it on a logic sub-domain with interdependency prerequisite relationships. This last is constituted of a prerequisite based and contentment material.