Applied Bayesian network to construct the adaptive personalized e-learning platform

Library is always a good place when person need to survey abundant information. But how can it organize the plenty of textbooks, videos and all others kinds of documents to provide each reader to effectively find what they want. With the rapid development in ubiquitous computing and e-learning technology, people can easy to get all kinds of digital interactive contents by various mobile devices at any times no mater at any places. We combine the RFID technology and Mobile Agents to construct an M-Learning system of library. First, we combine our e-learning system and on-line testing platform to library management system. By the learning and testing records of students we can analysis individual preferences and current learning state of each student who came into our library. Then using the RFID to track the reader´s visiting path in library and the books which are referenced by the reader, we can offer a suitable navigation suggestion to each reader to help them find effectively all similar relevant books or information which they want. Finally, through different functions of AP servers which record the latest dynamic reader´s querying media of books and reading behaviors, our mobile agents can periodically collect these data to provide the recommending AP server with the intelligent guidance and the adaptive learning library environment.