An Intelligent Personalized Learning Model Based on Community Discovery Method

Abstract:

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In this paper, we proposed a model of support personalized learning based on SGCL (Social Group Collaborative Learning System). In the model, we provide two algorithms to discover knowledge communities. Based on the community discovery result and system recommendation policy, we give our user the recommendation suggestions to help them to construct their personalized knowledge structure. The paper mainly introduce these algorithms, the AG algorithm based on aggregation and the KC algorithm based on K-Clique model, which are algorithms to discover knowledge communities in SGCL.

Info:

Periodical:

Edited by:

Dehuai Zeng

Pages:

248-251

DOI:

10.4028/www.scientific.net/AMR.159.248

Citation:

M. Xu et al., "An Intelligent Personalized Learning Model Based on Community Discovery Method", Advanced Materials Research, Vol. 159, pp. 248-251, 2011

Online since:

December 2010

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Price:

$35.00

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