Visualisation tools for supporting self-regulated learning through exploiting competence structures

In this paper an approach is presented how self-regulated learning can be supported and stimulated by visualising knowledge and competence structures in order to provide visual guidance in the learning process. In the field of adaptive systems and related research techniques of intelligent guidance have been developed, which, however, may have the disadvantage of limiting the learner. On the other hand, self-regulated learning gives greater control and responsibility to the learner, however, especially weak learner may have difficulties without provision of guidance. The presented approach combines both offering guidance and granting control over the own learning process. A set of learning tools have been developed which implement and demonstrate the proposed approach. Since knowledge structuring and knowledge visualisation are well established in the field of knowledge management, this approach can be exploited to bridge the research fields of e-learning and knowledge management. -- Adaptive system ; adaptivity ; self-regulated learning ; skill ; competence ; knowledge space theory ; information visualisation ; human-computer interface