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    This was brought to you by:

    block this user Peter Sloep Trusted member

    Professor

    CELSTEC Open University of the Netherlands

    Knowledge matchmaking in Learning Networks: Alleviating the tutor load by mutually connecting learning network users

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    Tutors have only limited time to support the learning process. In this paper we introduce a model that helps to answer the questions of students. It invokes the knowledge and skills of fellow-students, who jointly form an ad hoc, transient community. The paper situates the model within the context of a Learning Network, a self-organized, distributed system, designed to facilitate lifelong learning in a particular knowledge domain. We will discuss the design of the model and explain how we select and support capable peers. Finally, we will examine the calibration of the model and a simulation, which is intended to verify if the model is fit for use in experiments with students. The results indicate that, indeed, it is possible to identify and support capable peers efficiently and effectively.

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    New Full text for this article was not available? Send a request to the author(s).
    Title : Knowledge matchmaking in Learning Networks: Alleviating the tutor load by mutually connecting learning network users
    Abstract : Tutors have only limited time to support the learning process. In this paper we introduce a model that helps to answer the questions of students. It invokes the knowledge and skills of fellow-students, who jointly form an ad hoc, transient community. The paper situates the model within the context of a Learning Network, a self-organized, distributed system, designed to facilitate lifelong learning in a particular knowledge domain. We will discuss the design of the model and explain how we select and support capable peers. Finally, we will examine the calibration of the model and a simulation, which is intended to verify if the model is fit for use in experiments with students. The results indicate that, indeed, it is possible to identify and support capable peers efficiently and effectively.
    Subject : unspecified
    Area : Computer Science
    Language : English
    Affiliations : 
    Url : http://dspace.ou.nl/bitstream/1820/865/1/KnowledgeMatchmaking+in+Learning+Networks.pdf
    Doi : 10.1.1.108.9928

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