Building a Fuzzy Knowledge Management System for Personalized E learning

İngilizce (OpenAlex)

Personalization of learning is one of the most important ways of improving the effectiveness of education. At the same time, it is also a complex process that requires consideration of numerous factors such as learners' profiles, learning materials and learning strategies. The Fuzzy Knowledge Management System (FKMS) for personalized learning presented in this paper considers all the above-mentioned factors as a whole, but not separately, in contrast to many studies on the research problem. The main objective of the system is to offer the most appropriate learning materials to the learners by considering their knowledge level and other learning characteristics. The knowledge base of the system contains course and concepts ontologies, learners' profiles and learning objects knowledge. For expressing and processing of the knowledge, fuzzy logic methods are applied. Preliminary experimental results reveal the operability of the system.