Title: Multiagent system for learning objects retrieval with context attributes

Authors: Ana-Belen Gil-Gonzalez, Francisco Garcia-Penalvo

Addresses: Sciences Faculty, Department of Computer Science and Automation, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Espana. ' Sciences Faculty, Department of Computer Science and Automation, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Espana

Abstract: Educational standards that include content metadata description for materials have great potential for managing e-learning information and content units and facilitate their interoperability and reutilisation. These open semantic and distance learning aspects contribute new and important possibilities for online education systems. The Learning Objects (LOs) paradigm focuses this new gap on the management and exchange of educational materials. This paper presents an application approach to educational content recommendation based on Learning Objects. It describes an architecture based on a multi-agent system with a bio-inspired algorithm rooted in self-organisation theory. It supports the retrieval, search, selection and composition of these LOs.

Keywords: multi-agent systems; MAS; agent-based systems; learning objects; information recovery; semantic web; e-learning; online learning; learning object retrieval; educational content; content recommendation; interoperability; reuse; information retrieval; bio-inspired computing; self-organisation theory.

DOI: 10.1504/IJCAT.2008.022428

International Journal of Computer Applications in Technology, 2008 Vol.33 No.4, pp.320 - 326

Published online: 04 Jan 2009 *

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