A Personalized e-Learning System Based on GWT

DOI

10.2991/emcs-15.2015.37How to use a DOI?

Keywords

GWT; Web 2.0; Personalized; E-Learning; Framework.

Abstract

With the development of Internet technology, information resource is being spread widely, thus the issue of information overload formed. It becomes more difficult for users to retrieve their needed information from so enormous information space. To solve the issue of information overload, recommender system emerges as the times require. This paper presents the personalized e-Learning system using Collaborative Filtering Recommender Algorithm based on clustering of items. And the system will be implemented based on GWT with the advantages that developers can use only one language to develop web application. By the solution of GWT, the function of personalized information recommendation of e-Learning system will be achieved and personalized information will be recommended to users to help them improve learning efficiency. The results show that the solution of GWT is more flexible and simple, reduce the development cycle and cost, improved the real-time requirement of e-Learning system.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yejun Zhang
AU  - Bo Song
PY  - 2015/01
DA  - 2015/01
TI  - A Personalized e-Learning System Based on GWT
BT  - Proceedings of the International Conference on Education, Management, Commerce and Society
PB  - Atlantis Press
SP  - 175
EP  - 179
SN  - 2352-5398
UR  - https://doi.org/10.2991/emcs-15.2015.37
DO  - 10.2991/emcs-15.2015.37
ID  - Zhang2015/01
ER  -