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The defense date of the thesis is 2004-08-31
The current date is 2019-05-24
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URN etd-0831104-000333 Statistics This thesis had been viewed 1872 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 .
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 Date of Defense 2004-07-21 Date of Submission 2004-08-31