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 |
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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
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.