Analyse And Design Of Adaptive Hypermedia Tutorial System

Web-based adaptive hypermedia systems are becoming increasingly popular as educational tools. Traditional hypermedia applications do not satisfy the requirements of modern hypermedia education since it's static. The system has not enough ability to control the learning direction and process. Nowadays it is required that a hypermedia system has the ability to perform personalization through adaptive navigation support and adaptive content. The research of adaptive hypermedia system based on artificial intelligence and cognitive science, which be consider as basic theory. It is connected with the technology of intelligent system, hypermedia and user model and implement the adaptation and personalization through navigation and hypertext link.This paper focuses on discussing the model design of adaptive hypermedia tutorial system, and mentioned the architectures of adaptive tutorial system, KBS, user model and the judgement of cognition.This paper briefly introduces some popular methods and techniques for adaptation. I design and implement a personalised adaptive hypermedia tutorial system. This web-based system is able to track user information regarding performance with online problem solving, and adapt the content served to the user. The whole system bases on and keeps the same interface style with adaptive hypermedia architecture (AHA!), which is open source software. This is achieved by using html, java servlet and database system. The system has passed the functionality and unit test, and adaptation is also implemented.