Towards a Multi-Agent System to Assist Networked Learning

D.Stamatis, P. Kefalas and Th.Kargidis

Abstract: Through the continuously evolving information technologies, Networked Learning (NL) has set the scene towards an effective and low cost Open and Distance Learning (ODL) scheme. It is argued that Artificial Intelligence (AI) provides a technology which is already available and also has the potential to support NL both at the organisational and educational level. This paper proposes a framework based on multiple AI agents which can be used to automatically or semi-automatically assist various stages of NL. This assistance is indented for both learners and course providers who need to carry out specific tasks before, during and after the delivery of a course. The architecture of such a multi-agent system is presented and the processes which are automatically supported are briefly discussed.
 Keywords:   Open and Distance Learning, Networked Learning, Intelligent Agents.

Appeared in: Proceedings of the International Conference in Lifelong Networked Learning, Sheffield, April 1998.

Available: Hardcopy on request from the authors. .


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