CoFIND: steps towards a self-organising learning environment
Jon Dron, Phil Siviter, Chris Boyne, Richard Mitchell, University of Brighton, United Kingdom
WebNet World Conference on the WWW and Internet, in San Antonio, Texas Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
This paper reports on the ongoing development of CoFIND (Collaborative Filter in N Dimensions), a web-based system designed to form the basis of a self-organising learning environment, where individual acts of learners combine to organise a coherent system of relevant learning resources and experiences. We start by attempting to analyse the ways in which existing web-based systems might provide this support. We then consider how a group of learners whose learning environment is mediated through CoFIND can better manage their learning and become their own teachers. CoFIND is based around explicit exposure of metadata, making the learning needs of the learners visible through a process of establishing the qualities that they seek in a resource, rather than simply the facts that they seek to learn. This system organises itself through a combination of speciation, ordering and extinction that is in many ways akin to the process of evolution. The paper does not present experimental evidence but is concerned with describing the system and its theoretical underpinnings.
Dron, J., Siviter, P., Boyne, C. & Mitchell, R. (2000). CoFIND: steps towards a self-organising learning environment. In Proceedings of WebNet World Conference on the WWW and Internet 2000 (pp. 146-151). San Antonio, Texas: Association for the Advancement of Computing in Education (AACE).
© 2000 Association for the Advancement of Computing in Education (AACE)
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Peter Brusilovsky, Michael Yudelson & Sergey Sosnovsky, University of Pittsburgh, United States
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2005 (October 2005) pp. 2844–2850
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