Real-time learning behavior mining for e-learning

Yen Hung Kuo, Juei Nan Chen, Yu Lin Jeng, Yueh-Min Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Over the last years, we have witnessed an explosive growth of e-learning. More and more learning contents have been published and shared over the Internet. Therefore, how to progress an efficient learning process becomes a critical issue. This paper proposes a sequential mining algorithm to analyze learning behaviors for discovering frequent sequential patterns. By these patterns, we can provide suggestions for learners to select their interest learning contents. Different to other sequential mining algorithms, this study provides an incrementally method to analyze learning sequencing. More specifically, the mining algorithm in this paper can provide real-time analysis, and then report to learners for selecting learning contents more easily.

Original languageEnglish
Title of host publicationProceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Pages653-656
Number of pages4
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005 - Compiegne Cedex, France
Duration: 2005 Sep 192005 Sep 22

Publication series

NameProceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005
Volume2005

Other

Other2005 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2005
CountryFrance
CityCompiegne Cedex,
Period05-09-1905-09-22

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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