Intelligent learning objects: An agent based approach of learning objects

Abstract

Many researchers on Intelligent Learning Environments have proposed the use of Artificial Intelligence through architectures based on agents' societies. Teaching systems based on Multi-Agent architectures make possible to support the development of more interactive and adaptable systems. At the same time many people have been working to produce metadata specification towards a construction of Learning Objects in order to improve efficiency efficacy and reusability of learning content based on Object Oriented design paradigm. This paper proposes an agent based approach to produce more intelligent learning objects according to FIPA agent architecture reference model and LOM/IEEE 1484 learning object specification learning objects. © Springer-Verlag 2004.