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Title: Using Similarity Measures for Collaborating Groups Formation: A Model for Distance Learning Environments
Keywords: Education
Distance learning
Information retrieval
Clustering methods
Group technology
Issue Date: 2009
Publisher: Elsevier B.V
Citation: European Journal of Operational Research Vol. 193, No. 3, pages 626-636
Abstract: Adaptability to each separate user’s needs and preferences is a common concern in modern e-learning systems. Among various adaptation techniques described in recent research, collaboration support seeks to create groups that efficiently work together in order to advance user’s learning. This paper defines two similarity coefficients between users and learning objects and focuses on automatic creation of properly matching collaborating groups based on an algorithmic approach.
ISSN: 1435-246X
Appears in Collections:Δημοσιεύσεις σε Περιοδικά

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