Experiences with e-Learning using MASACAD, a Multi-agent System for Academic Advising of Students

M.S. Hamdi (UAE)

Keywords

eLearning, academic advising, multiagents, information customization, web mining, and neural networks

Abstract

In this paper, following the long-term objective of providing a complete e-Learning environment for students and aiming for the more general goal of information customization, we present MASACAD, a multi-agent system that advises students by adopting a supervised learning approach based on the back-propagation algorithm. The technologies used described and experimental results are presented.

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