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    Please use this identifier to cite or link to this item: https://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

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