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Advanced Learning Technologies, IEEE International Conference on (2007)
Niigata, Japan
July 18, 2007 to July 20, 2007
ISBN: 0-7695-2916-X
pp: 274-278
Ti Kai Chiu , National Chung Kung University, Taiwan
Tzone I Wang , National Chung Kung University, Taiwan
Kun Hua Tsai , National Chung Kung University, Taiwan
Tung Cheng Hsieh , National Chung Kung University, Taiwan
Ming Che Lee , National Chung Kung University, Taiwan
ABSTRACT
Traditionally, the presentation order of the learning objects in a course must be described previously and manually. In a personalized tutoring system that may give different courses to different learners, planning the presentation order of courses can be irritating and time-wasting. This paper proposes an approach that can automatically composite and recommend courses to learners with different presentation order and in accord with their intentions. First, a course MAP is constructed according to the contents of related domain ontology and web pages collected form the Internet. Then, a learner?s intention is analyzed for compositing automatically suitable orders of the learning objects to form a personalized course. This proposed approach can also recommend learning objects according to a learner?s preferences and others? feedbacks. By this approach, personalized courses can be achieved more easily.
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CITATION
Ti Kai Chiu, Tzone I Wang, Kun Hua Tsai, Tung Cheng Hsieh, Ming Che Lee, "Automated Course Composition and Recommendation based on a Learner Intention", Advanced Learning Technologies, IEEE International Conference on, vol. 00, no. , pp. 274-278, 2007, doi:10.1109/ICALT.2007.80
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