JOURNAL ARTICLE

Personalized Recommendation Research in E-Learning Systems

Bing WuPing Ping Chen

Year: 2013 Journal:   Applied Mechanics and Materials Vol: 433-435 Pages: 603-606   Publisher: Trans Tech Publications

Abstract

The purpose of this paper is to review the literatures which have made an explicit study on personalized recommendation in E-Learning systems. By identifying the important research areas, which are in different perspectives, firstly, filtering recommendation is introduced before the illustration of how it has been developed in E-Learning systems. Then personalized recommendation is proposed for E-Learning system. Although social network is the basic way to improve the communication efficiency with others in E-Learning system, previous studies pay less attention on this. Therefore social network analysis should be taken into consideration for the recommendation in E-Learning system for further research.

Keywords:
Recommender system Computer science Personalized learning Learning network Collaborative filtering Artificial intelligence Data science Knowledge management Machine learning Psychology Open learning Mathematics education Cooperative learning Teaching method

Metrics

4
Cited By
0.00
FWCI (Field Weighted Citation Impact)
15
Refs
0.15
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems
Caching and Content Delivery
Physical Sciences →  Computer Science →  Computer Networks and Communications
Peer-to-Peer Network Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications

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