Advanced Learning Technologies, IEEE International Conference on (2007)
July 18, 2007 to July 20, 2007
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICALT.2007.80
Kun Hua Tsai , National Chung Kung University, Taiwan
Tung Cheng Hsieh , National Chung Kung University, Taiwan
Ti Kai Chiu , National Chung Kung University, Taiwan
Ming Che Lee , National Chung Kung University, Taiwan
Tzone I Wang , National Chung Kung University, Taiwan
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.
T. K. Chiu, T. I. Wang, K. H. Tsai, T. C. Hsieh and M. C. Lee, "Automated Course Composition and Recommendation based on a Learner Intention," 2007 International Conference on Advanced Learning Technologies(ICALT), Niigata, 2007, pp. 274-278.