Towards a Multi-Agent System to Assist Networked Learning
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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