Title :
Research on the links recommender of e-learning platform
Author_Institution :
Educ. Coll., China West Normal Univ., Nanchong, China
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;
Conference_Titel :
Artificial Intelligence and Education (ICAIE), 2010 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-6935-2
DOI :
10.1109/ICAIE.2010.5641139
