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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/4820

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4820

    Title: Enhancing SCORM metadata for assessment authoring in e-Learning
    Authors: Wen-Chih Chang;Hui-Huang Hsu;Timothy K. Shih;Chun-Chia Wang
    Keywords: assessment;cognition level analysis;e-Learning;metadata
    Date: 2004-08
    Issue Date: 2009-12-03 16:31:52 (UTC+8)
    Publisher: Asia University
    Abstract: With the rapid development of distance learning and the XML technology, metadata play an
    important role in e-Learning. Nowadays, many distance learning standards, such as SCORM,
    AICC CMI, IEEE LTSC LOM and IMS, use metadata to tag learning materials. However,
    most metadata models are used to define learning materials and test problems. Few metadata
    models are dedicated to assessment. In this paper, the authors propose an assessment metadata
    model for e-Learning operations. With support from assessment metadata, we can incorporate
    measured aspects of the following list into the metadata description at the question cognition
    level, the item difficulty index, the item discrimination index, the questionnaire style and the
    question style. The assessment analysis model provides analytical suggestions for individual
    questions, summary of test results and cognition analysis. Analytical suggestions provide
    teachers information about why a question is not appropriate. Summary of test results improves
    the teacher’s view of student learning status immediately. Items missing from the teaching
    materials can be identified by cognition analysis. In this research, the authors propose an
    enhanced metadata model and an implemented system based on our model. With metadata
    support, metadata can help teachers in authoring examination.
    Relation: Journal of Computer Assisted Learning 20(4):305-316
    Appears in Collections:[資訊工程學系] 期刊論文

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