English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 54389/89220 (61%)
造访人次 : 10568974      在线人数 : 26
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59938


    题名: Mining Test Results to Personalise and Refine Web-Based Courses
    作者: Hsu, Hui-Huang
    贡献者: 淡江大學資訊工程學系
    关键词: distance education;web mining;personalised courses;course refinement;TRF;test results feedback;feedback models;e-learning;electronic learning;online learning;appropriate learning content;distance learning
    日期: 2010-07
    上传时间: 2011-10-05 22:28:46 (UTC+8)
    出版者: Olney: Inderscience Enterprises
    摘要: Providing appropriate learning content to each student is a key to the success of a web-based distance learning system. Student test results can be an important feedback for the instructor to re-evaluate the course content. A Test Result Feedback (TRF) model that analyses the relationship between student learning time and the corresponding test result is developed. The model can give the instructor crucial information for course content refinement. It can also suggest the student with a personalised remedial course or appropriate advanced courses for further study. All these can be done automatically without interfering with the student's learning and/or increasing the instructor's working load. In our design, all web courses are dynamically assembled with selected course units.
    關聯: International Journal of Applied Systemic Studies 3(2), pp.183-191
    DOI: 10.1504/IJASS.2010.034108
    显示于类别:[資訊工程學系暨研究所] 期刊論文

    文件中的档案:

    没有与此文件相关的档案.

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈