Towards a Multi-Agent System to Assist Networked Learning
Abstract: Through the use of continuously evolving
information technologies, the concept of Networked Learning (NL) offers
an effective and low cost means for Open and Distance Learning. However,
NL is far from being a process without problems. Apart from the pedagogical
model used, NL heavily relies on organisational/management and otehr educational
aspects. It is suggested that Artificial Intelligence (AI) provides mechanisms
which have 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.
Keywords: Open and Distance Learning, Networked
Learning, Intelligent Agents.
Appeared in: Journal of Computer Assisted Learning, Vol.15,
pp 201-210, 1999.
Available: Hardcopy on request from the authors. .
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