Hybrid multiagent system for automatic object learning classification

Authors:
Ana Gil;Fernando de la Prieta;Vivian F. López
Affiliations:
Computer Science Dpt, University of Salamanca, Salamanca, Spain;Computer Science Dpt, University of Salamanca, Salamanca, Spain;Computer Science Dpt, University of Salamanca, Salamanca, Spain
Venue:
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Year:
2010

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Abstract

The rapid evolution within the context of e-learning is closely linked to international efforts on the standardization of learning object metadata, which provides learners in a web-based educational system with ubiquitous access to multiple distributed repositories This article presents a hybrid agent-based architecture that enables the recovery of learning objects tagged in Learning Object Metadata (LOM) and provides individualized help with selecting learning materials to make the most suitable choice among many alternatives.