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Title page for etd-0831104-000333


URN etd-0831104-000333 Statistics This thesis had been viewed 1843 times. Download 12 times.
Author Hsing-Feng Huang
Author's Email Address No Public.
Department Information Management
Year 2003 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 65
Title Using Data Mining Techniques to Build Adaptive E-Learning Web Site
Keyword
  • Web Mining
  • E-Learning Web site
  • Data Mining
  • Data Mining
  • E-Learning Web site
  • Web Mining
  • Abstract 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.
    Advisor Committee
  • Huei-Huang Chen - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate in-campus access only
    Date of Defense 2004-07-21 Date of Submission 2004-08-31


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