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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/113980


    Title: 導入智慧型代理人於適性化學習之研究
    Authors: 張儀興
    呂宗益
    Keywords: 智慧型代理人;適性化教材;學習歷程檔
    Intelligent agent;Adaptive learning;Portfolio;Test-Portfolio
    Date: 2006
    Issue Date: 2017-10-23 14:23:38 (UTC+8)
    Abstract: 在本論文提出一個以智慧型代理人為基礎之適性化學習架構。主要設計概念是利用學習者的學習歷程檔與測驗歷程檔來達到適性化的學習。此適性化學習主要包含適性化課程及測驗和個人化課程及測驗。適性化課程及測驗是透過智慧型代理人依學習者學習進度及程度所規畫出最佳學習路徑的；後者藉由智慧型代理人分析學習者的，以找出造成學習者成效不彰之原故，以提供的個人化教材及測驗，以彌補學習者局部弱點。
    本研究設計方式具有下列特色：透過代理人深入分析學習者局部弱點，有效提升學習者學習成效；藉由智慧型代理人，減輕教學者花費製作數位教材及了解學習者學習況狀之時間；教學者透過代理人分析學習成效資訊，產生、修改學習元件與學習路徑。
    In this paper, an adaptive learning architecture is proposed based on intelligent agents. The design concept is to use portfolio and test-portfolio for learners to achieve an adaptive learning. Intelligent agents will find an adaptive learning path for a learner according to the learner’s portfolio. In addition, intelligent agents will find the causes of inefficient learning for a user by analyzing the user’s portfolio and test-portfolio. The personalized courses and tests are then recommended to remedy the learning weakness for the user. The features of this architecture are: analyzing the causes of learning inefficiency to promote learners’ learning efficiency; spending less time in making teaching materials for teachers; and making new learning materials and modifying learners’ learning path for teachers.
    Relation: TANET 2006 台灣網際網路研討會論文集
    中小學網路教學與數位學習
    Data Type: conference
    Appears in Collections:[TANet Conference] Conference Papers

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