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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4009


    Title: Competence Indicators Test and Remedial Instruction Developments Base on The Structures of Bayesian Networks— The ";integer";Related Indicators of Mathematicsin Grade 4
    Authors: Hsu Liang Hong
    Contributors: Department of Computer Science and Information Engineering
    Keywords: Evidence-Centered assessment design;Bayesian networks;Computerize adaptive remedial instruction
    Date: 2006
    Issue Date: 2009-11-18 13:13:34 (UTC+0)
    Publisher: Asia University
    Abstract: The main purpose of the research is to explore the educational assessment on the basis of Evidence-Centered assessment design(ECD) to build a convenient and effective diagnosis system. We use Bayesian networks for modeling assessment data and identifying bugs and sub-skills in The “Integer” of Mathematics in Grade 6. This research integrates the opinion of the experts, scholars, and primary school teachers. Also, the multimedia computer is devised for Diagnostic Testing and computerizes adaptive remedial instruction with the system. Students can receive not only individual diagnostic tests, but adequate and in-time computerized adaptive remedial instruction. Evaluation Diagnosis and remedy can be achieved simultaneously.
    The results:
    1.The Bayesian networks evaluation mode and evidence- Centered assessment design apply effectively to the diagnosis of students’ mistakes and sub-skills.
    2.To set up a complete and effective Bayesian networks. One has to do some research to build a Bayesian networks at first and then modifies it by analyzing practical materials.
    3. Both testing and remedial teaching can be achieved simultaneously.
    4.The progress of student is significant after taking the Computerize adaptive remedial instruction.
    Appears in Collections:[資訊工程學系] 博碩士論文

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