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Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence

Manuj Darbari, Priya Sahai Published in Artificial Intelligence

Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence
International Journal of Applied Information Systems
Year of Publication: 2014
© 2013 by IJAIS Journal
Series Volume 7 Number 3
Authors Manuj Darbari, Priya Sahai
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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  3. Sorin Iliea, Costin B?adic? aa, 2003. Multi-agent distributed framework for swarm intelligence,International Conference on Computational Science, ICCS.
  4. Priya Sahai, Manuj Darbari,,2014 . Adaptive e-learning using Granulerised Agent Framework, international Journal of Scientific & Engineering Research, Volume 5, Issue 2, February,ISSN 2229-5518.
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  8. M Darbari, S Medhavi, AK Srivastava Development of effective Urban Road Traffic Management using workflow wechniques for upcoming metro cities like Lucknow (India Development 2 (2),4,2008.
  9. N Dhanda, M Darbari, NJ Ahuja,,2012 Development of Multi Agent Activity Theory e-Learning (MATeL) Framework Focusing on Indian Scenario International Review on Computers & Software 7 (4),2.
  10. A. Tiwari, P. Patel , V. K. Singh , A. Srivastava. Implementing Requirements for the hospital management system using multi- agent.

Keywords

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