Title: Cognitive profiling towards formal adaptive technologies in web-based learning communities

Authors: Kinshuk, Taiyu Lin

Addresses: Advanced Learning Technologies Research Centre, Massey University, Private Bag 11-222, Palmerston North, New Zealand. ' Advanced Learning Technologies Research Centre, Massey University, Private Bag 11-222, Palmerston North, New Zealand

Abstract: Virtual learning environments acquire learner profile for providing adaptivity features. Although sophisticated student modelling techniques are available in the literature for this purpose, they typically focus on performance of the learners. Individual cognitive attributes have largely been ignored till now. This paper describes a complementary approach that considers cognitive traits of learners that are in nature quite stable over one|s lifetime. Individual profiling of learners| cognitive traits and cumulative analysis of various profiles within learners| communities have potential for adaptive systems to provide adaptivity not only to individual learners, but also to overarching web-based learning communities.

Keywords: adaptivity; cognitive traits; human cognition; individual profiles; learner model; student modelling; virtual learning environments; web-based communities.

DOI: 10.1504/IJWBC.2004.004802

International Journal of Web Based Communities, 2004 Vol.1 No.1, pp.103 - 108

Published online: 07 Jul 2004 *

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