Knowledge for courseware engineering : a framework for inductive knowledge acquisition based upon evaluation of adaptable courseware products

A.N. Ladhani, Al-Noor Ladhani, I.P.F. de Diana

    Research output: Contribution to journalArticleAcademicpeer-review

    1 Citation (Scopus)
    55 Downloads (Pure)

    Abstract

    Authors or adaptors of courseware products preferably should receive support in the process of development and adaptation of courseware products. A predictive agent is defined as a system that is able to predict the expected effectiveness of various composable products from current product attributes. The described research addresses the questions of how to acquire the necessary knowledge for a predictive agent, how to organize this knowledge, and how to link it with methods and tools for courseware authoring and adaptation. We propose to use a methodology, derived from the field of machine learning, and present a framework for applying inductive knowledge acquisition based upon the empirical evaluation of adaptable courseware products.
    Original languageUndefined
    Pages (from-to)155-173
    Number of pages19
    JournalComputers in human behavior
    Volume10
    Issue number1
    DOIs
    Publication statusPublished - 1994

    Keywords

    • METIS-135224
    • IR-26573

    Cite this

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    title = "Knowledge for courseware engineering : a framework for inductive knowledge acquisition based upon evaluation of adaptable courseware products",
    abstract = "Authors or adaptors of courseware products preferably should receive support in the process of development and adaptation of courseware products. A predictive agent is defined as a system that is able to predict the expected effectiveness of various composable products from current product attributes. The described research addresses the questions of how to acquire the necessary knowledge for a predictive agent, how to organize this knowledge, and how to link it with methods and tools for courseware authoring and adaptation. We propose to use a methodology, derived from the field of machine learning, and present a framework for applying inductive knowledge acquisition based upon the empirical evaluation of adaptable courseware products.",
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    author = "A.N. Ladhani and Al-Noor Ladhani and {de Diana}, I.P.F.",
    year = "1994",
    doi = "10.1016/0747-5632(94)90035-3",
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    Knowledge for courseware engineering : a framework for inductive knowledge acquisition based upon evaluation of adaptable courseware products. / Ladhani, A.N.; Ladhani, Al-Noor; de Diana, I.P.F.

    In: Computers in human behavior, Vol. 10, No. 1, 1994, p. 155-173.

    Research output: Contribution to journalArticleAcademicpeer-review

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    T1 - Knowledge for courseware engineering : a framework for inductive knowledge acquisition based upon evaluation of adaptable courseware products

    AU - Ladhani, A.N.

    AU - Ladhani, Al-Noor

    AU - de Diana, I.P.F.

    PY - 1994

    Y1 - 1994

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    AB - Authors or adaptors of courseware products preferably should receive support in the process of development and adaptation of courseware products. A predictive agent is defined as a system that is able to predict the expected effectiveness of various composable products from current product attributes. The described research addresses the questions of how to acquire the necessary knowledge for a predictive agent, how to organize this knowledge, and how to link it with methods and tools for courseware authoring and adaptation. We propose to use a methodology, derived from the field of machine learning, and present a framework for applying inductive knowledge acquisition based upon the empirical evaluation of adaptable courseware products.

    KW - METIS-135224

    KW - IR-26573

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    DO - 10.1016/0747-5632(94)90035-3

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