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研究生:林彥志
研究生(外文):Lin, Yen Chih
論文名稱:以雲端支援架構建置RFID為基礎之個人化無所不在學習系統
論文名稱(外文):A cloud-supported framework for implementing RFID-based personalized ubiquitous learning system
指導教授:李有仁李有仁引用關係
指導教授(外文):Li, Eldon Y.
學位類別:碩士
校院名稱:國立政治大學
系所名稱:資訊管理研究所
學門:電算機學門
學類:電算機一般學類
畢業學年度:99
語文別:中文
論文頁數:97
中文關鍵詞:數位學習無所不在的學習無線射頻辨識雲端運算手持行動裝置
外文關鍵詞:e-learningubiquitous learningRFIDcloud computinghandheld and mobile device
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本研究提出一項無所不在的學習系統架構改變傳統數位學習之教育傳遞的方式,讓學習者能在任何時間、任何地點透過行動裝置,連結雲端上的學習系統便能自動取得數位化的教學課程及輔助教材等教學資源,並結合RFID標籤之唯一性及無線辨識功能,除了可感測、讀取周遭環境物件資訊以外,更作為學習者個人辨識登入的方法,進而驗證以取得個人所屬的學習課程或學習進度規劃等功能,創造個人化無所不在學習,期許改善目前數位學習在散播教育資源這塊領域,仍有不足之處所造成的數位落差。系統架構本身採用雲端運算作為後端開發技術,將系統、數位學習課程與資料庫分散在各地,以減少單一系統之資源負載量過大及頻寬不足等問題,讓學習者接受即需的教學服務。
This paper proposes a ubiquitous learning system framework, in order to improve traditional e-learning method for delivering education. Learners could connect to the learning system on the cloud by mobile devices at any time and any place. It could automatically access digital educational resources such as learning courses and supplementary materials. Using the RFID tag for uniqueness and radio frequency identification function. In addition to context-aware and reading the information of objects around the enviroment. It also can be a personalised identify for learners to login and access one’s own function of learning courses or learning scheduling to create personalized ubiquitous learning. There is lack of education due to digital divide which calls for improvement of distributing educational resources. The proposed system architecture incorporates cloud computing for back-end development technology. In order to reduce resource overload of the single system and lack of bandwidth, distributing the learning system, e-learning course and database to several places enable learners to take on-demand educational services.
致謝 1
摘要 2
Abstract 3
目錄 4
圖目錄 7
表目錄 9
第一章 緒論 10
第一節 研究背景 10
第二節 研究動機 11
第三節 研究目的 11
第四節 研究流程 12
第二章 文獻探討 14
第一節 數位學習(Electronic Learning) 14
2.1.1 數位學習之定義 14
2.1.2 數位學習之演進與創新 15
2.1.3 數位學習之優勢與政策發展 16
第二節 無所不在的學習(Ubiquitous Learning) 17
2.2.1 無所不在的學習之定義 17
2.2.2 無所不在的學習之環境(Ubiquitous Learning Environment) 18
2.2.3 無所不在的學習與過往數位學習之比較 19
2.2.4 無所不在的學習之特性(Characteristics of Ubiquitous Learning) 22
2.2.5 無所不在的學習之研究類型歸納 23
第三節 無線射頻辨識技術(RFID) 26
2.2.1 無線射頻辨識的定義 26
2.2.2 無線射頻辨識的發展 27
2.2.3 無線射頻辨識的應用範圍 28
2.2.4 無線射頻辨識的標準化 29
2.2.5 無線射頻辨識與其他技術之比較 30
第四節 雲端運算(Cloud Computing) 32
2.4.1 雲端運算的定義與發展 32
2.4.2 雲端運算的架構 34
2.4.3 雲端運算的技術優勢 35
2.4.4 雲端運算未來的發展趨勢 36
2.4.5雲端運算與行動裝置的應用 37
第五節 手持行動裝置(Handheld and Mobile Devices) 38
2.5.1 行動裝置的發展 38
2.5.2 各類型手持行動裝置 40
2.5.3 手持行動裝置的發展 41
第三章 研究設計 43
第一節 商業化數位學習系統 43
第二節 ULSR系統設計 46
3.2.1 系統架構 46
3.2.2 雲端支援架構 48
第三節 系統操作流程 50
第四節 系統開發技術與規範 51
第五節 系統限制與假設 55
第四章 系統開發 57
第一節 系統規劃 57
第二節 系統模組設計 58
第三節 系統建置 60
第四節 情境模擬與系統展示 67
4.4.1教師之操作情境展示 67
4.4.2學生之操作情境展示 70
第五節 系統比較 77
第五章 總結與建議 79
第一節 研究結論 79
第二節 未來研究方向與建議 79
第六章 參考文獻 81
附錄一 無所不在的學習之文獻整理 87

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