Appropriate Learning Resource Recommendation in Intelligent Web-Based Educational System

Abstract

With the growth of computer and information technologies, e-learning educational systems are becoming more and more popular all over the world, it makes the scene become real that anybody could learn at anywhere in anytime. However, without the assistance of e-learning system, the leaning questions students countered cannot be solved in time. Consequently it is necessary to develop e-learning intelligent tutoring system (ITS) in order to provide learning support service for students. In this paper, an e-learning ITS is proposed to recommend feasible learning courseware for individual student. The architecture of this system and the functions of each component are introduced first, and the structure of curriculum and how to design object-oriented (OO) learning courseware based on shareable content object reference model (SCORM) are discussed later. Furthermore, a fuzzy algorithm is proposed to estimate students' cognitive ability level. Finally, the paper elaborates how to apply case-based reasoning methodology to derive adaptive learning courseware for individual student to learn in effective and efficient way.