Constructing the Personalized Knowledge Map through a Self-Evolved Knowledge Management Model

Most learning resource organization strategies used in learning systems are targeting at public used knowledge spaces, few of them are considered in individualized knowledge organizing and inferring. Even the most popular technologies can not provide cognitive style satisfied knowledge processing because of their limited semantic capabilities. In this paper, we proposed a self-evolved knowledge management model which can construct individualized knowledge maps based on their cognitive styles(learning styles), at the same time can implement the necessary cognitive interventions to learners during their learning processes.