DocumentCode
3169789
Title
Research on the links recommender of e-learning platform
Author
Deng Mengde
Author_Institution
Educ. Coll., China West Normal Univ., Nanchong, China
fYear
2010
fDate
29-30 Oct. 2010
Firstpage
118
Lastpage
120
Abstract
In this paper, we describe a personalized recommender module which uses web mining techniques for recommending links for distance learners. The recommender automatically detects learners´ learning style and suggests appropriate links; it brings much convenience to distance learners.
Keywords
computer aided instruction; distance learning; recommender systems; Web mining technique; distance learning; e-learning; link recommender; Educational institutions; IP networks; E-learning platform; Link recommendation; prerequisite and follow-up relation;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4244-6935-2
Type
conf
DOI
10.1109/ICAIE.2010.5641139
Filename
5641139
Link To Document