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

Author

Hui-Xiang, Xiong ; Ying, Xu

Author_Institution

Dept. of Inf. Manage., Central China Normal Univ., Wuhan, China

Volume

2

fYear

2010

fDate

21-24 May 2010

Abstract

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.

Keywords

Internet; computer aided instruction; optimisation; Web3.0 technologies; intelligent retrieval; optimization; personalized e-learning system; semantic annotation; user interest modeling; widget aggregation; Artificial intelligence; Content based retrieval; Electronic learning; Information management; Information retrieval; Intelligent networks; Intelligent systems; Resource management; Web and internet services; Web sites; E-learning; Web3.0; content aggregation; intelligent retrieval; semantic annotation; user interest modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computer and Communication (ICFCC), 2010 2nd International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5821-9

Type

conf

DOI

10.1109/ICFCC.2010.5497509

Filename

5497509