recomendation, personalization, knowledge hierarchy

Navigating students to desired information in the information space is task of many web-based systems. Our solution of navigation and recommendation is based on interconnection of existing concepts space which represents structure of the domain with a space of existing learning objects. For every student we recommend suitable learning objects according the students model and rating of the learning object. Traditional approach which is using prerequisities and gains is replaced with metrics which are calculated from positions of associated concepts in the concepts space. The currently developed web-based system where we test an automatized course preparation based on our proposed approach is discussed.