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2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)
Personalized Metadata Mechanism Applied to Adaptive Mobile Learning
JungLi, Taiwan
March 23-March 25
ISBN: 0-7695-1989-X
Stephen J. H. Yang, National Central University
Norman W. Y. Shao, National Kaohsiung First University of Science and Technology
Addison Y. S. Sue, National Central University
Most of digital learning content are prepared by publishers; student and teacher use the designed content during class. The teaching experience and learning reflection can not be effective annotated, preserved and managed with the learning content. Under this situation, learning efficiency and teaching quality will be possible limited. Diversity of mobile device are developed, an adaptive content mechanism is needed to provide preferable visual presentation for each different device. In this paper, we develop a personalized metadata mechanism which aim was to implement adaptive mobile learning environment. As preliminary study, the teaching experience and learning reflection can be fully aggregated and managed, and the learning efficiency and teaching quality can be effective improved.
Index Terms:
mobile learning, personalized metadata model, Adaptive mobile learning environment
Citation:
Stephen J. H. Yang, Norman W. Y. Shao, Addison Y. S. Sue, "Personalized Metadata Mechanism Applied to Adaptive Mobile Learning," wmte, pp.168, 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04), 2004
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