ASIA unversity:Item 310904400/4029
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 94286/110023 (86%)
Visitors : 21713783      Online Users : 442
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4029


    Title: Competence Indicators Test and Remedial Instruction Developments Based on Bayesian Networks-The “Ratio” Related Indicators of Mathematics in Grade 6
    Authors: CHEN SHIAO CHI
    Contributors: Department of Computer Science and Information Engineering
    Keywords: ratio and specific value;ability index;bayesian networks
    Date: 2006
    Issue Date: 2009-11-18 13:13:39 (UTC+0)
    Publisher: Asia University
    Abstract: Nowadays, technology advance brings human beings convenience on food, clothes, house, transportation and playing. Technology entrepreneurs also devote to the critical education filed. The goal of education bureau and teachers is to remedy each student by different mistaken types. Actually, there are too many students to remedy. In order to save time and get effective studying, the study develops the Learning Educational Program.
    The main idea of the study is to research the ability index of ratio and specific value on Grade 6 and set up the program based on Bayesian Networks which can predict the mistaken types. Students attend the test through the Learning Educational Program online. The system can show the subject comprehension immediately and begin to the Learning Educational Program on the basis of the mistaken type distribution. By the interesting flash remedy instructions program, it can reduce the studying baffle. And the real time remedy instructions program can do something for education.
    Appears in Collections:[Department of Computer Science and Information Engineering] Theses & dissertations

    Files in This Item:

    File SizeFormat
    0KbUnknown511View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback