Evolving learning in the stuff swamp

Dron, J., Mitchell, R. and Boyne, C.W. (2003) Evolving learning in the stuff swamp In: Patel, N., ed. Adaptive evolutionary information systems. Idea Group, USA, pp. 211-228. ISBN 1591400341

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Abstract

In this chapter we will be discussing a range of issues which surround the problems of adult learners searching for reliable and useful information on the Internet. Our approach is firmly evolutionary. Although some existing approaches such as collaborative filtering use broadly evolutionary mechanisms (inasmuch as they are based on the survival of the fittest) to assist this process, they provide inadequate speciation to provide for differing learning needs. We describe and explain the theory behind a self-organising adaptive system (CoFIND, a Collaborative Filter In N Dimensions) which we have been developing to allow groups of learners to learn by collaboratively generating and giving structure to lists of learning resources.

Item Type:Chapter in book
Subjects:G000 Computing and Mathematical Sciences > G500 Information Systems
P000 Mass Communications and Documentation
Faculties:Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Learning Technologies
ID Code:1111
Deposited By:editor cmis
Deposited On:04 Dec 2006
Last Modified:18 Jun 2010 12:29

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