Research Article
Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
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| Volume 7 - Issue 3 |
| Published: May 2014 |
| Authors: Manuj Darbari, Priya Sahai |
10.5120/ijais14-451164
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Manuj Darbari, Priya Sahai . Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence. International Journal of Applied Information Systems. 7, 3 (May 2014), 16-20. DOI=10.5120/ijais14-451164
@article{ 10.5120/ijais14-451164,
author = { Manuj Darbari,Priya Sahai },
title = { Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence },
journal = { International Journal of Applied Information Systems },
year = { 2014 },
volume = { 7 },
number = { 3 },
pages = { 16-20 },
doi = { 10.5120/ijais14-451164 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Manuj Darbari
%A Priya Sahai
%T Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence%T
%J International Journal of Applied Information Systems
%V 7
%N 3
%P 16-20
%R 10.5120/ijais14-451164
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper we propose a multi-agent approach to the problem of recommending relevant and adequate study material to the learner in E-learning environment. It illustrates swarm intelligence of bee-colony optimization that enables agents to recommend learner most appropriate data content in real –time which stored in the form of case-sets. A flexibility, adaptability and interactiveness is achieved through agents that autonomously and intelligently uses swarm intelligent algorithms to recommend course structure to learners . Secondly we have suggested construction of a cache knowledge base which will be updated by swarm intelligent agents by analysing various parameters such as learners feedbacks, their educational records and other parameters.
References
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