Personalized Metadata Mechanism Applied to Adaptive Mobile Learning

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2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04)

JungLi, Taiwan

March 23-March 25

ISBN: 0-7695-1989-X

	ASCII Text	x
	Stephen J. H. Yang, Norman W. Y. Shao, Addison Y. S. Sue, "Personalized Metadata Mechanism Applied to Adaptive Mobile Learning," Wireless and Mobile Technologies in Education, IEEE International Workshop on, pp. 168, 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'04), 2004.

	BibTex	x
	@article{ 10.1109/WMTE.2004.1281377, author = {Stephen J. H. Yang and Norman W. Y. Shao and Addison Y. S. Sue}, title = {Personalized Metadata Mechanism Applied to Adaptive Mobile Learning}, journal ={Wireless and Mobile Technologies in Education, IEEE International Workshop on}, volume = {0}, year = {2004}, isbn = {0-7695-1989-X}, pages = {168}, doi = {http://doi.ieeecomputersociety.org/10.1109/WMTE.2004.1281377}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Wireless and Mobile Technologies in Education, IEEE International Workshop on TI - Personalized Metadata Mechanism Applied to Adaptive Mobile Learning SN - 0-7695-1989-X SP EP A1 - Stephen J. H. Yang, A1 - Norman W. Y. Shao, A1 - Addison Y. S. Sue, PY - 2004 KW - mobile learning KW - personalized metadata model KW - Adaptive mobile learning environment VL - 0 JA - Wireless and Mobile Technologies in Education, IEEE International Workshop on ER -

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WMTE.2004.1281377

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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