Design and Evaluation of a Multi-agent System for Web Intelligent Tutoring

With the rapid growth of information technology, the e-learning has become a major trend in the computer assisted teaching and learning field. Previously, many researchers put efforts into e-learning system with emphasizing the application of multimedia elements; they often neglected the importance of three crucial elements-personalization, contextual understanding and platform-independent standardized learning materials, which are rather important for students of diverse disciplines background and learning abilities. To build a system for better implementing Web-based learning, the paper proposes using agents to design an intelligent tutoring system implemented for Web tutoring by combining learning theory. Evaluation results indicate that applying our system can efficiently help students increase learning efficiency while receiving traditional classroom instruction.