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A Multi-Model Approach for Supporting the Personalization of Ubiquitous Learning Applications
Tokushima, Japan November 28-November 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WMTE.2005.5IEEE International Workshop on Wirele ...
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Rosa G. J. Paredes, Hiroaki Ogata, Yoneo Yano, Gerardo Ayala San Martin, "A Multi-Model Approach for Supporting the Personalization of Ubiquitous Learning Applications," Wireless and Mobile Technologies in Education, IEEE International Workshop on, pp. 40-44, IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'05), 2005.
 
 
BibTex
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@article{ 10.1109/WMTE.2005.5,
author = {Rosa G. J. Paredes and Hiroaki Ogata and Yoneo Yano and Gerardo Ayala San Martin},
title = {A Multi-Model Approach for Supporting the Personalization of Ubiquitous Learning Applications},
journal ={Wireless and Mobile Technologies in Education, IEEE International Workshop on},
volume = {0},
year = {2005},
isbn = {0-7695-2385-4},
pages = {40-44},
doi = {http://doi.ieeecomputersociety.org/10.1109/WMTE.2005.5},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Wireless and Mobile Technologies in Education, IEEE International Workshop on
TI - A Multi-Model Approach for Supporting the Personalization of Ubiquitous Learning Applications
SN - 0-7695-2385-4
SP40
EP44
A1 - Rosa G. J. Paredes,
A1 - Hiroaki Ogata,
A1 - Yoneo Yano,
A1 - Gerardo Ayala San Martin,
PY - 2005
KW - null
VL - 0
JA - Wireless and Mobile Technologies in Education, IEEE International Workshop on
ER -
 
Rosa G. J. Paredes, Tokushima University, Japan
Hiroaki Ogata, Tokushima University, Japan
Yoneo Yano, Tokushima University, Japan
Gerardo Ayala San Martin, Universidad de las Americas, Puebla, Mexico
An additional platform for supporting learning in the same physical space in which it takes place, is now available owing to the continuous advancement of wireless and mobile technologies. However, new challenges arise for the development of ubiquitous computing learning applications capable to provide appropriate content and services according to the individual needs of each learner. In this paper, we describe the implementation of a centralized system with a multi-model based approach to support the personalization of such applications. These models contain information about the application, the user?s characteristics, the usage behavior and the situational environment.
Citation:
Rosa G. J. Paredes, Hiroaki Ogata, Yoneo Yano, Gerardo Ayala San Martin, "A Multi-Model Approach for Supporting the Personalization of Ubiquitous Learning Applications," wmte, pp.40-44, IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE'05), 2005
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