Personalized metadata mechanism applied to adaptive mobile learning

Stephen J.H. Yang, Norman W.Y. Shao, Addison Y.S. Sue

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceddings - 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education
EditorsJ. Roschelle, J. Roschelle, T.W. Chan, S.J.H. Yang
Pages168-172
Number of pages5
DOIs
StatePublished - 2004
EventProceedings - 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education - JungLi, Taiwan
Duration: 23 Mar 200425 Mar 2004

Publication series

NameProceedings - 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education

Conference

ConferenceProceedings - 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education
Country/TerritoryTaiwan
CityJungLi
Period23/03/0425/03/04

Keywords

  • Adaptive mobile learning environment
  • Mobile learning
  • Personalized metadata model

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