Study on the optimization of the personalized E-learning system based on Web3.0

Optimizing E-learning system based on Web3.0 technologies can make the current E-learning system more personalized, intelligent and accurate. In this paper, firstly, we introduce the concepts of Web3.0 and some of its technical advantages. Then, through survey on the current usage of E-learning system, we analyze the development status of E-learning system and address some problems to be solved. By adopting the approaches of Web3.0 technologies, like widget aggregation, intelligent retrieval, user interest modeling and semantic annotation, the current E-learning system would be optimized to its best with the problems being solved. Lastly, we put forward the architecture of E-learning system based on Web3.0.