English  |  正體中文  |  简体中文  |  Items with full text/Total items : 17333/19639 (88%)
Visitors : 5312947      Online Users : 591
RC Version 7.0 © 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://ir.cnu.edu.tw/handle/310902800/22292


    標題: Organizing learning materials through hierarchical topic maps: an illustration through Chinese herb medication
    作者: B.-J. Shih
    J.-L. Shih
    R.-L. Chen
    貢獻者: 藥物科技研究所
    關鍵字: Chinese herb medication
    digital learning material
    self-organizing map
    topic map
    日期: 2007-12
    上傳時間: 2010-01-15 14:39:55 (UTC+8)
    出版者: Wiley
    摘要: Abstract This research aims to use hierarchical topic maps to compile digital learning material and to discuss its design and application possibilities. The system renders tremendous original assets and then embeds a self-organizing map (SOM) in the material database to produce topical learning materials, as in this case, an illustration through Chinese herb medication. It helps to demonstrate robust professional information as well as knowledge structures, and provides a customized and interactive learning dynamic to support both progressive and constructive learning styles.
    The paper first gives a detailed procedural description of the material construction, explains how topic map techniques were applied, and observes the implications and potentials of the technology to education.
    Both the technical and educational evaluations of using SOM topic maps in compilation of learning materials have resulted in positive feedback. SOM allows users to review the complete databank in structural hierarchical order, which provides comprehensive understanding of the entire set of learning materials, and also brings opportunities to users to discover knowledge related to their study area.
    關聯: Journal of Computer Assisted Learning 23(6): p.477-490
    Appears in Collections:[藥學系(所)] 期刊論文

    Files in This Item:

    File SizeFormat
    0KbUnknown935View/Open


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


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