Case-Based Student Model using Knowledge Markup Language for Intelligent e-learning Systems

Abstract

Abstract. The knowledge management in e-learning systems is classified into knowledge about students, strategies of teaching and learning, management of the learning content, and the system management. The construction of the students' knowledge, namely the student model, is a core component used to develop an intelligent e-learning system. The student model can be used as an effective method of learning by constructing a knowledge base in the distributed e-learning system. However, existing e-learning systems have many problems sharing knowledge in a heterogeneous student model and a distributed knowledge base. Because the methods of knowledge representation are different in each e-learning system, the accumulated knowledge cannot be used or shared without a great deal of difficulty. In order to share this knowledge, existing systems must reconstruct the knowledge bases or must incur an extra-cost to convert a knowledge base. Consequently, we propose a new a Case-based student model and a knowledge markup language based on XML in order to overcome these problems. A distributed e-learning system can have the advantage of easily sharing and managing the heterogeneous knowledge base proposed by the student model and CaseML. In this paper, we have done our research based on the design and development of the case-based student model in order to construct an intelligent e-learning system. Furthermore, we have designed and developed a CaseML by using a knowledge markup language.