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  • Semantic Networks to Support Learning

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    54729_1.pdf (94.61Kb)
    Author(s)
    Martin, Philippe
    Griffith University Author(s)
    Martin, Philippe A.
    Year published
    2008
    Metadata
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    Abstract
    This article illustrates Conceptual Graph networks representing the content of courses to help students understand, relate, compare, memorize and retrieve many of their concepts. It shows that the ontology of WebKB-2 and its FL notation could be exploited by lecturers to create normalized representations in a scalable way and relatively quick way. They also permit the students to complement these representations, thus providing lecturers with ways to test the students' understanding and analytical skills. Very strong mechanisms supporting semantic checking, cooperation support and normalization need to be implemented ...
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    This article illustrates Conceptual Graph networks representing the content of courses to help students understand, relate, compare, memorize and retrieve many of their concepts. It shows that the ontology of WebKB-2 and its FL notation could be exploited by lecturers to create normalized representations in a scalable way and relatively quick way. They also permit the students to complement these representations, thus providing lecturers with ways to test the students' understanding and analytical skills. Very strong mechanisms supporting semantic checking, cooperation support and normalization need to be implemented for the approach to be successful. Current semantic wikis and knowledge servers (WebKB-2 included) are far from fulfilling such constraints.
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    Conference Title
    Supplementary Proceedings of ICCS 2008
    Publisher URI
    http://ceur-ws.org/Vol-354/
    Copyright Statement
    © The Author(s) 2008. The attached file is posted here with permission of the copyright owner for your personal use only. No further distribution permitted. For information about this conference please refer to the publisher's website or contact the author.
    Publication URI
    http://hdl.handle.net/10072/22487
    Collection
    • Conference outputs

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