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博碩士論文 etd-0801105-141633 詳細資訊
Title page for etd-0801105-141633
論文名稱
Title
自動化建構e-Learning領域之概念圖
Automatic Constructing of Concept Map in e-Learning Domain
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
99
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2005-06-25
繳交日期
Date of Submission
2005-08-01
關鍵字
Keywords
概念圖、e-Learning領域、本體論、知識管理
Concept Map, e-Learning Domain, Ontology, Knowledge Management
統計
Statistics
本論文已被瀏覽 5822 次,被下載 3700
The thesis/dissertation has been browsed 5822 times, has been downloaded 3700 times.
中文摘要
  國內外許多教育單位都越來越重視網路學習的發展與應用,許多教育學者也相信網路學習環境具有提供適性化學習之潛力。為了支援適性化教材之設計,教師必須依據該領域之本體論來進行教學內容之設計,藉由本體論圖形化的呈現方式,展現該領域重要的知識核心。相關研究即指出透過圖形化建立之本體論,能夠降低學習者資訊超載與學習迷失等問題,然而過去本體論的建置必須要依賴該領域的專家,花費許多的時間與努力才能夠建置出來,正因如此欲建置如e-Learning之新興成長的新領域將是一大挑戰。
  e-Learning領域是一個新興快速成長的新領域,如何能夠自動化的來建構e-Learning領域之本體論,是一個重要的研究議題。本研究使用e-Learning相關學術期刊與研討會論文作為資料來源,發展資料探勘之相關技術來自動化建構e-Learning領域之概念圖,並且藉由不同時間區段所對應之概念圖,分析e-Learning領域之研究主題的演進過程。
  本研究之貢獻為利用文字探勘技術,自動化地建構e-Learning領域之概念圖,它可以提供給該領域之研究者、進行適性化課程設計之教學者與欲了解e-Learning相關知識之學習者,一個詳盡且有用的參考架構。
Abstract
  e-Learning is becoming more and more important for many educational institutions, and many educators believe that there is a good potential for providing adaptive learning in e-learning environment. In order to support the design of adaptive learning materials, teachers need to refer to the ontology of the subject domain to be taught. Moreover, ontology can show the whole picture and the core knowledge of a subject domain. Literature reviews also pointed out that graphical representation of ontology can reduce the problems of information overloading and learning disorientation for learners. However, ontology constructions all rely on domain experts in the past; it is a time consuming and high cost task. It would be more challenge for those emerging new domains like e-Learning.

  e-Learning is a new and fast developing domain, how to automatic constructing its ontology is a very important topic. In this research, we use some relevant e-Learning journals and conferences papers as input data sources, and apply data mining techniques to automatically construct the concept maps for e-learning. We also analyzed the evolution in e-Learning domain according to the concept maps constructed at different time periods.

  The contribution of this research is automatic constructing the concept maps of e-Learning domain using text-mining techniques. It can provide a comprehensive and useful reference for researchers to do research, for teachers to do adaptive course design and for learners to understand the related knowledge in e-Learning.
目次 Table of Contents
第一章、緒論 1
1.1 研究背景與動機 1
1.2 研究目的 4
1.3 研究範圍與限制 4
1.4 研究基本假設 5
1.5 論文架構 7
第二章、文獻探討 8
2.1 本體論 8
2.2 概念圖 11
2.3 字詞處理相關文獻 13
2.3.1 字詞篩選 13
2.3.2 同義字詞 13
第三章、研究設計 13
3.1 研究流程 13
3.2 系統架構 13
第四章、系統開發 13
4.1 期刊論文處理方法 13
4.1.1 擷取e-Learning領域之論文資訊 13
4.1.2 論文關鍵字的篩選與合併 13
4.1.3 挑選代表性研究主題 13
4.1.4 研究主題之關係建立 13
4.2 研討會論文處理方法 13
4.2.1 擷取研討會論文資訊 13
4.2.2 論文關鍵字的篩選 13
4.2.3 代表性研究主題之挑選 13
4.2.4 研究主題之關係建立 13
4.3 使用者介面 13
4.3.1 整體領域之概念圖查詢 13
4.3.2 研究主題之概念圖查詢 13
4.3.3 領域知識演進 13
4.3.4 主題知識演進 13
4.3.5 期刊論文查詢 13
4.4 系統評估 13
4.4.1 研究主題關係之評估 13
4.4.2 概念圖評估 13
第五章、成果分析 13
5.1 e-Learning領域之概念圖 13
5.1.1 e-Learning領域之重要知識概念 13
5.1.2 代表性知識之概念圖 13
5.2 領域知識之演進分析 13
5.3 主題知識之演進分析 13
第六章、結論 13
6.1 研究成果 13
6.2 研究貢獻 13
6.3 未來研究方向 13
中文參考文獻 13
英文參考文獻 13
附錄一:知識概念關係之評估問卷 13
附錄二、概念圖評估之問卷 13
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