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21st International Conference on Advanced Networking and Applications (AINA '07)
Self-Adapting and Agent-based Personalized Courseware Model
Niagara Falls, Ontario, Canada
May 21-May 23
ISBN: 0-7695-2846-5
ASCII Text
x 
 
Cao Jiuxin, Mao Bo, Luo Junzhou, Ge Liang, "Self-Adapting and Agent-based Personalized Courseware Model," Advanced Information Networking and Applications, International Conference on, pp. 695-701, 21st International Conference on Advanced Networking and Applications (AINA '07), 2007.
 
 
BibTex
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@article{ 10.1109/AINA.2007.127,
author = {Cao Jiuxin and Mao Bo and Luo Junzhou and Ge Liang},
title = {Self-Adapting and Agent-based Personalized Courseware Model},
journal ={Advanced Information Networking and Applications, International Conference on},
volume = {0},
year = {2007},
issn = {1550-445X},
pages = {695-701},
doi = {http://doi.ieeecomputersociety.org/10.1109/AINA.2007.127},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Information Networking and Applications, International Conference on
TI - Self-Adapting and Agent-based Personalized Courseware Model
SN - 1550-445X
SP695
EP701
A1 - Cao Jiuxin,
A1 - Mao Bo,
A1 - Luo Junzhou,
A1 - Ge Liang,
PY - 2007
KW - null
VL - 0
JA - Advanced Information Networking and Applications, International Conference on
ER -
 
Cao Jiuxin, Southeast University, Nanjing, 210096, China
Mao Bo, Southeast University, Nanjing, 210096, China
Luo Junzhou, Southeast University, Nanjing, 210096, China
Ge Liang, Southeast University, Nanjing, 210096, China
In this paper, a super-media courseware system infrastructure based on the Knowledge Description is propose which features in separation of knowledge description from knowledge entity.. Using agent technology, a personalized learning environment is developed with dynamical, real-time user information matching. The courseware system infrastructure is not only capable of balancing network load, but also proves self-adaptive to the users? circumstances. The simulation tests are run to demonstrate the advantage in performance.
Citation:
Cao Jiuxin, Mao Bo, Luo Junzhou, Ge Liang, "Self-Adapting and Agent-based Personalized Courseware Model," aina, pp.695-701, 21st International Conference on Advanced Networking and Applications (AINA '07), 2007
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