Intelligent Learning Objects

Abstract

Abstract:Many people have been working hard to produce metadata specification towards a construction of Learning Objects in order to improve efficiency, efficacy and reusability of learning content based on an Object Oriented design paradigm. The possibility of reusing learning material is very important to designing learning environments for real-life learning. At the same time, many researchers on IntelHgent Learning Environments have proposed the use of Artificial Intelligence through architectures based on agent societies. Teaching systems based on Multi-Agent architectures make it possible to support the development of more interactive and adaptable systems. This paper proposes an agent-based approach to produce more intelligent learning objects (ILO) according to the FIPA agent architecture reference model and the LOM/IEEE 1484 learning object specification.