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    政大機構典藏 > 理學院 > 資訊科學系 > 期刊論文 >  Item 140.119/14992
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/14992

    Title: Considering Model-based Adaptivity for Learning Objects
    Authors: H-C- Wang
    Date: 2004-04
    Issue Date: 2008-12-16 16:42:14 (UTC+8)
    Abstract: Adaptive Hypermedia (AH) and IMS Simple Sequencing (SS) are different approaches but
    both intend to attain a similar goal: tailored content for learning, just as Abdullah et al. discussed
    in [1]. However, these two distinct approaches have their own merits and defects. For
    SS, it takes the conformity with learning objects (LO) as the prime principle, and thus become
    the main approach to achieve dynamic presentation under the paradigm of using LOs to wrap
    up learning materials. But due to the absence of explicit domain and user models, SS cannot
    perform adaptivity in terms of learners’ cognition, such as prior knowledge, learning styles,
    etc. On the other hand, AH systems focus on constructing explicit models that represent various
    aspects of information related to decision making, such as user’s prior knowledge, preferences,
    learning domain, pedagogical knowledge, etc. Therefore, AH systems could perform
    elaborate decision making based on these models. However, issues like interoperability and
    reusability remain challenging to researchers in the AH field.
    Relation: Learning Technology newsletter, 6(2),
    Data Type: article
    Appears in Collections:[資訊科學系] 期刊論文

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