Knowledge Management of Smart Learning System with Cognitive Level for Higher Education

The learning paradigm of personalized learning that applies computing technology anywhere and builds intelligent online learning is the future trend of smart learning. Smart Learning System (SLS) is proposed to overcome the shortcomings of current platform. This study describes the knowledge management of SLS to enhance cognitive ability and combine personalized learning interactions. This paper presented a knowledge management to identify the cognitive level of students. SLS has four components, namely the student model, instruction model, content model, and adaptation model. In the future, this system will be able to recommend personalization with the proper learning at the right time, evaluation, and feedback to enhance cognitive abilities.