DocumentCode :
2308749
Title :
An adaptive personalized e-learning model
Author :
Jing, Chen ; Quan, Lu
Author_Institution :
Dept. of Inf. Manage., Central China Normal Univ., Wuhan
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
806
Lastpage :
810
Abstract :
Adaptive e-learning system, deal with appropriate personalization and adaptation techniques in order to maximize the effectiveness of learning. Customer preference and personality are going to be more and more important to e-learning. This paper first hopes to explain the grid agent e-learning model, whose main actions including registry, directory and discovery. Through these actions, the managerpsilas agent will find out the suitable learning services. Secondly, to implement the adaptability of the grid agent model, the method of artificial psychology and how to realize adaptive personalized e-learning by this method so that the studentpsilas agent can employ the learning material matched to their own personality type are also emphasized. The experiment data also supported our assumption that the learners may perform better if they use our adaptive grid agent model.
Keywords :
computer aided instruction; grid computing; multi-agent systems; psychology; adaptive personalized e-learning model; artificial psychology; grid agent e-learning model; learning material; learning services; Adaptive systems; CD-ROMs; Communications technology; Computer science education; Electronic learning; Grid computing; Health information management; Humans; Psychology; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-3616-3
Electronic_ISBN :
978-1-4244-2511-2
Type :
conf
DOI :
10.1109/ITME.2008.4743979
Filename :
4743979
Link To Document :
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