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A Method of Social Collaboration and Knowledge Sharing Acceleration for e-Learning System: The Distance Learning Network Scenario

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Knowledge Science, Engineering and Management (KSEM 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6291))

Abstract

Nowadays, e-learning systems take the form of the Distance Learning Network (DLN) due to widespread use and accessibility of the Internet and networked e-learning services. The focal point of the DLN performance is efficiency of knowledge processing in asynchronous learning mode and facilitating cooperation between students. In addition, the DLN articulates attention to social aspects of the learning process as well. In this paper, a method for the DLN development is proposed. The main research objectives for the proposed method are the processes of acceleration of social collaboration and knowledge sharing in the DLN. The method introduces knowledge-disposed agents (who represent students in educational scenarios) that form a network of individuals aimed to increase their competence. For every agent the competence expansion process is formulated. Based on that outcome the process of dynamic network formation performed on the social and knowledge levels. The method utilizes formal apparatuses of competence set and network game theories combined with an agent system-based approach.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Systems, West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210, Szczecin, Poland

    Przemysław Różewski

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  1. Przemysław Różewski
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Editors and Affiliations

  1. School of Computing and Mathematics, University of Ulster, Newtownabbey, Co. Antrim, BT37 0QB, UK

    Yaxin Bi

  2. Innovation and Technology Research Laboratory, University of Technology, 2007, Sydney, NSW, Australia

    Mary-Anne Williams

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Różewski, P. (2010). A Method of Social Collaboration and Knowledge Sharing Acceleration for e-Learning System: The Distance Learning Network Scenario. In: Bi, Y., Williams, MA. (eds) Knowledge Science, Engineering and Management. KSEM 2010. Lecture Notes in Computer Science(), vol 6291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15280-1_16

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  • DOI: https://doi.org/10.1007/978-3-642-15280-1_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15279-5

  • Online ISBN: 978-3-642-15280-1

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