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9985
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狀態 G0495515072
助教
建檔完成
查核
索書
查核完成
號
學校
輔仁大學
名稱
系所
資訊工程學系
名稱
舊系
所名
稱
學號 495515072
研究
生 何志強
(中)
研究
生
(英)
論文
名稱 能力本位智慧型行動學習系統
(中)
論文
名稱
(英)
其他
題名
指導
教授 許見章
(中)
指導
教授
(英)
校內
全文 2013.2.26
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封面 誌謝 摘要 目錄 第一章 第二章 第三章 第四章 第五章 參考文獻
說明
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01 02 03 04 05 06 07 08 09 10
全文
學位
碩士
類別
畢業
學年 98
度
出版
99
年
語文
中文
別
關鍵
行動學習 適性學習 學習路徑規劃 模糊內插 NFC 點對點技術 基因螞蟻演
字
算法
(中)
關鍵
Mobile learning Adaptive learning Learning path planning Fuzzy interpolation
字
NFC point-to-point technology Ant-genetic algorithm
(英)
行動學習提供學習者一個無所不在的學習情境，學習者可透過適性的學
摘要 習及正確的學習路徑規劃，挑選出合適的學習物件及學習路徑，以達到
隨時隨地學習的目的。再者，行動學習載具的螢幕顯示能力亦是影響學
(中)
習者的學習興趣及學習時間的重要因素。如何達成上述功能為行動學習
重要的研究課題。本論文利用能力本位教材為基礎，透過試題前測、職
涯設定及模糊內插計算，挑選出適性的學習物件，並利用基因螞蟻演算
法建立合適的學習路徑。我們亦利用 NFC 點對點傳輸技術將行動學習載
具上學習內容傳輸至學習環境中較合適的螢幕上顯示，以達到無所不在
的學習。
Mobile learning provides a ubiquitous learning context for the learners to select
appropriate learning path and learning objects. Adaptive learning method and
correct learning path planning may reach the goal of anytime and anywhere
learning. Moreover, the display ability of mobile learning device also becomes the
摘要 main factor to influence the interesting and learning time of the learners. How to
achieve the above functions is the important topic in mobile learning. This thesis
(英) uses the content of competency-based learning as the basis to evaluate knowledge
deficiency of the learner. We then use carrier selection, fuzzy interpolation
computation, and ant-generic algorithm to select the appropriate learning path and
objects. Finally, we use the point-to-point technology of NFC to transfer the
learning content in the learning device to the larger screen with NFC capability in
the environment to display the same content for conducting pervasive learning.
誌謝................................I 摘要...............................II Abstract..........................III
目錄...............................IV 圖目錄..............................V 表目
錄............................VII 第一章 緒論.........................1 第二章 相關研
論文 究.....................6 2.1 學習路徑建立....................6 2.2 混合基因演算法與螞蟻
演算法.....12 第三章 系統架構....................16 3.1 智慧型學習介
目次 面.................16 3.2 個人化學習器...................29 第四章 系統實作與模
擬..............36 4.1 智慧型學習介面.................38 4.2 個人化學習
器...................43 4.3 實驗比較.......................47 第五章 討論與結
論..................52 5.1 討論...........................52 5.2 結論...........................55 參考文
獻...........................56
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