ASIA unversity:Item 310904400/4102
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    题名: An Computerized Diagnostic Test and Remedial Instruction System Based on Bayesian Network and Knowledge Structure Theory－Using The “Factor and Multiple“ in Elementary School Math as an example
    作者: liou jing ming
    贡献者: Department of Computer Science and Information Engineering
    关键词: Knowledge Structure, Bayesian networks, Computerize adaptive remedial instruction, Factor and Multiple
    日期: 2007
    上传时间: 2009-11-18 13:13:59 (UTC+0)
    出版者: Asia University
    摘要: The research is to implement an intelligent diagnostic and computerized adaptive remedial instruction system based on “Factor and Multiple” relevant indicators in elementary school for example by using knowledge structure analysis, and combining with the induction tool of Bayesian network.
    The system can diagnosis the wrong types of students instantly and can provide the real-time, on-line, right remedy teaching with computer animation so that the functions of evaluation, diagnosis, and remedy teaching can be achieved simultaneously.
    The results in the research are as follows:
    1. The system based on knowledge structure analysis and combined with the evaluation mode built by Bayesian networks can be applied effectively to the diagnosis of students’ mistakes and sub-skills.
    2. The computerized remedy teaching animation for students to achieve the significant progress level by using “the computerized adaptive remedial instructions” in this research is proved to be plausible.
    3. Since the system can diagnosis the wrong types for each individual and give adaptive remedy teaching which are unavailable by traditional paper test, therefore the effect of teaching-by-individual and testing-by-individual can be certainly achieved.
    显示于类别:[資訊工程學系] 博碩士論文

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