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    ASIA unversity > 資訊學院 > 資訊工程學系 > 博碩士論文 >  Item 310904400/11758


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/11758


    Title: Computerized Multiple Choice Items and Performance Assessment for the Fifth Grade Math ";Different Denominator Fraction Addition and Subtraction,";Unit
    Authors: Wu Chi-Te
    Contributors: Department of Computer Science and Information Engineering
    Keywords: different denominator fraction addition and subtraction;computer diagnostic test;Bayesian networks
    Date: 2011
    Issue Date: 2011-09-30 01:53:17 (UTC+0)
    Publisher: Asia University
    Abstract: The study of fifth grade to "cross-denominator fraction addition and subtraction" unit for the scope of the study, according to the teaching objectives, sub-skills, the type of error, so as to Bayesian inference network as a tool to establish a set of Bayesian network to computer-based diagnostic tests national minority subjects, the diagnosis of students' error types, provide teaching reference. The results are as follows:
    First analysis of "cross-denominator fraction addition and subtraction, "the teaching materials, the establishment of the concept of proposition from proposition based on the concept of a computerized diagnostic test, sampling by using Bayesian network as a post-analysis tools, inference and sub-types of errors the students skills.
    The results are as follows:
    1. The self of the fifth grade of elementary school mathematics "different
    denominator fraction addition and subtraction,"unit test questions, the test of
    Cronbach's α value of 0.737, with questions of this study showed good reliability.
    2. Students of computer-based diagnostic expert identification of the type of error and
    the correct type of error rates were 95.3333%, 95.3333%, 93%, 89%, construction
    problems of diagnosis the average correct response rate of 93.1667%.
    3 Four models of sub-skills to identify the type of error rate and pattern of the overall
    average recognition rate were 90%, display mode helps to enhance the recognition
    rate.
    Appears in Collections:[資訊工程學系] 博碩士論文

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