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研究生:黃星峯
研究生(外文):Hsing-Feng Huang
論文名稱:運用資料探勘建立個人適性化學習網站
論文名稱(外文):Using Data Mining Techniques to Build Adaptive E-Learning Web Site
指導教授:陳煇煌陳煇煌引用關係
指導教授(外文):Huei-Huang Chen
學位類別:碩士
校院名稱:大同大學
系所名稱:資訊經營學系(所)
學門:商業及管理學門
學類:一般商業學類
論文種類:學術論文
論文出版年:2004
畢業學年度:92
語文別:英文
論文頁數:65
中文關鍵詞:線上學習網站網際網路挖掘資料挖掘
外文關鍵詞:Data MiningE-Learning Web siteWeb Mining
相關次數:
  • 被引用被引用:0
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  • 收藏至我的研究室書目清單書目收藏:4
於現今多數的線上教學網站中,其課程內容架構大致都在建立課程時,都早已經做好其相對應的課程教材連結,不論進入網站的學習者是誰,幾乎都提供一致性的連結式樣,或者是教材內容因時間拉長,不斷加入課程資料,導致學習者迷失在這錯綜複雜的教材連結中,因此學者Conklin 說過『迷失方向(Disorientation)和認知負荷(Cognitive Overhead)是超媒體文件中最主要的兩大問題』[1]。
因此本研究著重發展一適性模式,藉由實施教材前的前測測驗、瀏覽教材的行為以及閱讀教材結束之後測測驗歷程,將這些資料匯聚建立資料倉儲,並運用資料探勘技術-分類法則與關連法則,分析建立群體航行模式,並且針對瀏覽行為資料建立個人航行模式,緊接著利用個人航行模式與群體航行模式進行對映,找出個人航行樣式,最後利用個人航行式樣預測使用者可能瀏覽動作,並予以適性指引。
The majority of e-learning Web sites have predefined course frameworks. No matter who enters the Web site, almost the same link types are offered. The course materials are added when the time is prolonging. As a result, the learners can be lost in the intricate links of teaching materials. Conklin indicated that ‘disorientation’ and ‘cognitive overhead’ are the two prime issues in hypermedia documents [1].
Thus, this thesis research focuses on the development of an adaptive model by taking pre-learning test before enrolling in the course materials, recording the browsing behavior on the course materials, and taking post-learning exam at the end of learning the course materials. These data are assembled to set up a data warehouse. We use data mining techniques, classification and association, to analyze the collected data to set up group navigation model and personal navigation model. Finally, we use the group navigation model and personal navigation model to predict learner’s personal navigation pattern and give adaptive guidance to the learner.
摘要 i
ABSTRACT ii
ACKNOWLEDGEMENT iii
TABLE OF CONTENTS iv
LIST OF FIGURES vi
LIST OF TABLES viii
CHAPTER 1 INTRODUCTION 1
1.1 Background and Motivation 1
1.2 Objective 2
1.3 Thesis Framework 3
Chapter 2 LITERATURE REVIEW 4
2.1 Adaptive 4
2.1.1 Adaptive Instruction 4
2.1.2 Meaning of Adaptive Website 5
2.2 Personalization 7
2.2.1 Meaning of Personalization 7
2.2.2 Method of Personalization 8
2.3 Learning Path 9
2.4 Data Mining [12] [13] 12
2.4.1 Technique of Data Mining [12] 13
2.4.2 Data Mining V.S. Data Warehouse [15] [16] 15
2.5 Web Mining 16
2.5.1 Web Mining Types 16
2.5.2 Web Mining Operation Structure and Application 18
CHAPTER 3 RESEARCH METHOD 21
3.1 Research Process 21
3.2 Research Design 22
3.2.1 Discover Personal Navigation Model 24
3.2.2 Discover Group Navigation Model 29
3.2.3 Build Personal Navigation Pattern 40
3.2.4 Predict Personal Navigation 42
CHAPTER 4 IMPLEMENT ADAPTIVE MODEL 45
4.1 Introduction of Developing Environment 45
4.2 Data Resource 45
4.4 Discover Personal Navigation Model 48
4.4 Discover Group Navigation Model 50
CHAPTER 5 CONCLUSION AND FUTURE WORK 58
5.1 Conclusion 58
5.2 Future Work 59
BIBLIOGRAPHY 60
Appendix 64
A. Group Navigation Rules 64
B. Personal Navigation Model Program Code 65
VITA 66
[1] Conklin, J., “Hypertext: An introduction and survey”, IEEE Computer, September 1987, pp. 17-41.
[2] Perkowitz, M. and E. Oren, “Adaptive Web Sites: an AI Challenge”, In Proceedings of the 15th International Joint Discussion on Artificial Intelligence, Nagoya, Japan, 1997, pp. 16-23
[3] Perkowitz, M. and E. Oren, “Towards Adaptive Web Sites: Conceptual Framework and Case Study”, 1999, http://www8.org/w8-papers/2b-customizing/towards/towards.html
[4] Brusilovsky, P., “Methods and Techniques of Adaptive Hypermedia”, User Modeling and User-Adapted Interaction 6, 1996, pp. 87-129.
[5] Bra, D.B., P. Brusilovsky, and G.J. Houben, “Adaptive Hypermedia: From Systems to Framework”, ACM Computing Surveys’ Electronic Symposium on Hypertext and Hypermedia, Vol. 31 No.4es, December 1999, Article No. 12.
[6] Brusilovsky, P., “Web-based education for all: a tool for development adaptive courseware”, Computer Networks and ISDN Systems 30, 1998, pp. 291-300.
[7] Pascoe, R. and A. Sallis, “A Pedagogical Basis for Adaptive WWW Textbooks”, North American Web Developers Discussion Conference, October 1998.
[8] Pine, B. J. , B. B. Victor, and C. Andrew, “Making Mass Customization Work”, Harvard Business Review, Vol.71, No.5, 1993, pp. 108-111.
[9] Mittal B. and W. M. Lassar, , “The Role of Personalization in Service Encounters”, Journal of Retailing, Vol.72, No.1, 1996, pp. 95-109.
[10] Dean R., “personalizing your web site”, 1998, http://www.builder.com/business/personal.
[11] Surprenant, C. F. and M. R. Solomon, “Predictability and Personalization in the Service Encounter”, Journal of Marketing, Vol.51, 1987, pp. 86-96.
[12] Han, J. and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, August 2000, pp. 296-298.
[13] Lara, D., E. James, and B. Pitkow, “Characterizing browsing strategies in the World-Wide Web”, Computer Networks and ISDN Systems Vol. 27, Issue 6, 1995, pp. 1065-1073.
[14] Kittler, R. and W. Wang, “The Emerging Role for Data Mining”, Yield Dynamics, Inc., Nov. 1999.
[15] Lohmann, V. and O. Preiss, “Less impact of power failures due to substation automation”, CIRED 15th Internet Conference, June 1999.
[16] Mallach Efrem, Decision Support and Data Warehouse Systems, McGraw-Hill/Irwin, pp. 483-517.
[17] http://www.microsoft.com
[18] Lin, Chin-tsai, Teaching theory and measure, Wu Nan Books Publishing Company, 1999, pp. 272.
[19] Chiang, Yi-jen, “one to one personalization service mechanism”, Computer and Communication, No.95, 2001, pp. 88-93.
[20] Yang, Sheng-hong, “Data Mining apply for searching the type of browsing webpage”, Thesis for Master of Science, 2000, Graduate School of Information Engineering, Feng Chia University.
[21] Yu, Cheng-hsien, “A Study of On-Line Analyzing Mechanism for Browsing Behavior on WWW”, Thesis for Master of Science, 1999, Graduate School of Business Automation and Management, National Taipei University of Technology.
[22] Lin, Yi-yuan, “Design and Implementation of an Access Pattern Collection Server for Web Data Mining”, Thesis for Master of Science, 1997, Graduate School of Information Engineering, National Taiwan University.
[23] Chan, Chia-wen, “The Access Log to Web Site and Query Language on WWW”, Thesis for Master of Science, 1997, Graduate School of Information Engineering, National Central University.
[24] Fan, Chi-wen, “Personalized Interactive Marketing Mechanisms On WWW”, Thesis for Master of Science, 1999, Graduate School of Information Management, National Pingtung University of Technology.
[25] Su, Yu-min, “An Exploration of Intentional Behavior in Web Usage Mining”, Thesis for Master of Science, 2001, Graduate School of Information Engineering, I-Shou University.
[26] Lin, Sheng-chuan, New Teaching Theory and Strategy, Wu Nan Books Publish Company, 2000, pp. 132-140.
[27] Chen, Hsin-tien, “The Design and Application of Adaptive Navigation System in Networked Learning Environments”, Thesis for Master of Science, 2001, Graduate School of Information and Education, National Tainan Teachers College.
[28] Cho, Hui-tai, “Learning Style Based Adaptive e-Learning Model for High School”, Thesis for Master of Science, 2002, Graduate School of Information Engineering, National Chung Cheng University.
[29] Nelson, W., and D. Palumbo, “Learning, instruction, and hypermedia”, Journal of Education Multimedia and Hypermedia, 1992, pp. 287-299.
[30] Chen, Ming-fu and Liang-pao Chuang, “The influence of construction of knowledge figure to network learning,” The Eighth International Conference on Computer-Assisted Instruction (ICCAI), 1999, Thesis NO.40.
[31] Liu, Ming-chou, Lung-chun Chen, Ta-wen Shou, and Hung-lung Lin, “Adaptive Learning and Study of Webpage’s Course”, Entrusting Designated Topic Report on Education Department, 1999.
[32] SCORM (Sharable Content Object Reference Model),http://www.adlnet.org/
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