Volume 7 Number 4 (Apr. 2012)
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JSW 2012 Vol.7(4): 904-912 ISSN: 1796-217X
doi: 10.4304/jsw.7.4.904-912

Research of Personalized Web-based Intelligent Collaborative Learning

Rui Zeng1 and Ying-yan Wang 2
1Yi Wu Industrial &Commercial College/Institute of Information Technology, Yi Wu, China
2Yi Wu Industrial &Commercial College/ School of Electro-mechanical and Information Technology, Yi Wu, China

Abstract—At present, The network collaborative learning in education has been widely used, but they have some problems were not resolved, which like lacks intelligence or can not accurately master information requirements. In the research, using intelligent agent technology in the field of distributed artificial intelligence, to propose a model in collaborative learning process. The model based on the learner's cognitive level, learning ability, cognitive ability, can adjust teaching methods, teaching strategies, achieve individualized to help the user personalized distance learning. Introduce intelligent agent technology, to construct a master program, student agent, teaching agent and collaborative learning model of intelligent agents

Index Terms—Agent, machine learning, data mining, personal study, ant swarm Algorithm


Cite: Rui Zeng and Ying-yan Wang, "Research of Personalized Web-based Intelligent Collaborative Learning," Journal of Software vol. 7, no. 4, pp. 904-912, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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