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Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence

Manuj Darbari, Priya Sahai Published in Artificial Intelligence

International Journal of Applied Information Systems
Year of Publication: 2014
© 2013 by IJAIS Journal
10.5120/ijais14-451164
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  1. Manuj Darbari and Priya Sahai. Article: Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence. International Journal of Applied Information Systems 7(3):16-20, May 2014. BibTeX

    @article{key:article,
    	author = "Manuj Darbari and Priya Sahai",
    	title = "Article: 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",
    	month = "May",
    	note = "Published by Foundation of Computer Science, New York, 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.

Reference

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Keywords

E-learning, swarm intelligence , multi-agent system, cache, Baye’s theorem