English  |  正體中文  |  简体中文  |  Post-Print筆數 : 20 |  Items with full text/Total items : 90029/119959 (75%)
Visitors : 24034441      Online Users : 135
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://nccur.lib.nccu.edu.tw/handle/140.119/76501


    Title: Intelligent web-based tutoring system with personalized learning path guidance
    Authors: Hong, C.-M.;Chen, Chin-Ming;Chang, M.-H.;Chen, S.-C.
    陳志銘
    Contributors: 圖檔所
    Keywords: Cognitive overloads;Courseware;Curriculum sequencing;E-learning systems;High qualities;Intelligent tutoring system;Intelligent webs;Learning modes;Learning paths;Learning performances;Learning processes;Personalized learning path;Research issues;Tutoring systems;Web-based learning;Computer aided instruction;Curricula;Diesel engines;E-learning;Education;Education computing;Genetic algorithms;Internet;Multimedia systems;Online systems;World Wide Web;Learning algorithms
    Date: 2007
    Issue Date: 2015-07-13 15:35:51 (UTC+8)
    Abstract: Personalized curriculum sequencing is an important research issue for Web-based learning systems because no fixed learning paths will be appropriate for all learners. Therefore, many researchers focused on developing e-learning systems with personalized learning mechanisms to assist online Web-based learning and adaptively provide learning paths in order to promote the learning performance of individual learners. Generally, inappropriate courseware leads to learner cognitive overload or disorientation during learning processes, thus reducing learning performance. Therefore, compared with the freely browsing learning mode used in most web-based learning systems, this paper assesses whether the proposed genetic-based personalized e-learning system which can generate appropriate learning paths according to the incorrect testing responses of individual learners in a pre-test provides benefits in terms of learning performance promotion. Experiment results indicated that applying the proposed genetic-based personalized e-learning system for Web-based learning is superior to the freely browsing learning mode because of high quality and concise learning path for individual learners. © 2007 IEEE.
    Relation: Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007
    7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007,18 July 2007 through 20 July 2007,Niigata
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1109/ICALT.2007.167
    DOI: 10.1109/ICALT.2007.167
    Appears in Collections:[圖書資訊與檔案學研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML793View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback