Adaptive e-Learning Multi-Agent Systems with Swarm Intelligence
Manuj Darbari, Priya Sahai · International Journal of Applied Information Systems · 2014
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.