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Reseach Article

Intelligent Agents for the Semantic Adaptive e-Learning System

Published on August 2011 by Chellatamilan T, Suresh R M
International Conference on Advanced Computer Technology
Foundation of Computer Science USA
ICACT - Number 1
August 2011
Authors: Chellatamilan T, Suresh R M
b41b2920-8450-4758-ac57-48b140085981

Chellatamilan T, Suresh R M . Intelligent Agents for the Semantic Adaptive e-Learning System. International Conference on Advanced Computer Technology. ICACT, 1 (August 2011), 1-5.

@article{
author = { Chellatamilan T, Suresh R M },
title = { Intelligent Agents for the Semantic Adaptive e-Learning System },
journal = { International Conference on Advanced Computer Technology },
issue_date = { August 2011 },
volume = { ICACT },
number = { 1 },
month = { August },
year = { 2011 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/icact/number1/3231-icact095/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advanced Computer Technology
%A Chellatamilan T
%A Suresh R M
%T Intelligent Agents for the Semantic Adaptive e-Learning System
%J International Conference on Advanced Computer Technology
%@ 0975-8887
%V ICACT
%N 1
%P 1-5
%D 2011
%I International Journal of Computer Applications
Abstract

The success of Web technology has built e-Learning a common success way of education and training. To provide online automatic adaptive learning content , this paper suggest a framework for building such learning management system based upon MAS( Multi Agent System) , Semantic web ontology and learners preference knowledge base for content resource organization , sequencing (learning path) and adaptation. This system has been built upon a famous learning management system called MOODLE and it facilitates and demonstrates the simulation in a real time teaching learning process. The result also show that the proposed e-Learning system has the highest possibility of score / rank gain in the selection of learning object retrieval technique

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Index Terms

Computer Science
Information Sciences

Keywords

Intelligent tutor system Multi agent Ontology e-Learning