DocumentCode :
3522003
Title :
Provide Distant Learners with the Personalized Learning Paths Based on 3d_SLN Map
Author :
Yang, Juan ; Huang, ZhiXing ; Liu, Hongtao
Author_Institution :
Dept. of Comput. Sci., Sichuan Normal Univ., Chengdu, China
fYear :
2010
fDate :
1-3 Nov. 2010
Firstpage :
74
Lastpage :
81
Abstract :
Cognition disorientation problem is one of the major problems caused by the self-learning principle in the current web based intelligent learning systems. Providing learners with the personalized learning path can effectively smooth over the problem. In this paper, we provide learners with learning paths which is based on the 3 dimensioned SLN (3d_SLN) map according to their different learning styles. 3d_SLN map is a modified version of SLN whose inferring ability is as strong as ontology for learning path recommendation while more flexible in knowledge relation constructing.
Keywords :
Internet; cognition; distance learning; inference mechanisms; intelligent tutoring systems; ontologies (artificial intelligence); 3 dimensioned SLN map; cognition disorientation problem; distant learners; inferring ability; ontology; personalized learning paths; self-learning principle; web based intelligent learning systems; e-learning; learning path; semantic web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics Knowledge and Grid (SKG), 2010 Sixth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8125-5
Electronic_ISBN :
978-0-7695-4189-1
Type :
conf
DOI :
10.1109/SKG.2010.15
Filename :
5663586
Link To Document :
بازگشت