A multi-model approach for supporting the personalization of ubiquitous learning applications

Rosa G.J. Paredes; Hiroaki Ogata; Yoneo Yano; Gerardo Ayala San Martin

doi:10.1109/WMTE.2005.5

A multi-model approach for supporting the personalization of ubiquitous learning applications

Rosa G.J. Paredes, Hiroaki Ogata, Yoneo Yano, Gerardo Ayala San Martin

Division for Theoretical Natural Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005
Pages	40-44
Number of pages	5
DOIs	https://doi.org/10.1109/WMTE.2005.5
Publication status	Published - Dec 1 2005
Event	IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005 - Tokushima, Japan Duration: Nov 28 2005 → Nov 30 2005

Publication series

Name	Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005
Volume	2005

Other

Other	IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005
Country/Territory	Japan
City	Tokushima
Period	11/28/05 → 11/30/05

All Science Journal Classification (ASJC) codes

Engineering(all)

Access to Document

10.1109/WMTE.2005.5

Cite this

Paredes, R. G. J., Ogata, H., Yano, Y., & Martin, G. A. S. (2005). A multi-model approach for supporting the personalization of ubiquitous learning applications. In Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005 (pp. 40-44). [1579229] (Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005; Vol. 2005). https://doi.org/10.1109/WMTE.2005.5

A multi-model approach for supporting the personalization of ubiquitous learning applications. / Paredes, Rosa G.J.; Ogata, Hiroaki; Yano, Yoneo; Martin, Gerardo Ayala San.

Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005. 2005. p. 40-44 1579229 (Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Paredes, RGJ, Ogata, H, Yano, Y & Martin, GAS 2005, A multi-model approach for supporting the personalization of ubiquitous learning applications. in Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005., 1579229, Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005, vol. 2005, pp. 40-44, IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005, Tokushima, Japan, 11/28/05. https://doi.org/10.1109/WMTE.2005.5

Paredes RGJ, Ogata H, Yano Y, Martin GAS. A multi-model approach for supporting the personalization of ubiquitous learning applications. In Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005. 2005. p. 40-44. 1579229. (Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005). https://doi.org/10.1109/WMTE.2005.5

Paredes, Rosa G.J. ; Ogata, Hiroaki ; Yano, Yoneo ; Martin, Gerardo Ayala San. / A multi-model approach for supporting the personalization of ubiquitous learning applications. Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005. 2005. pp. 40-44 (Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005).

@inproceedings{bba7c670191d4d199a91fdc54f3b6ae6,

title = "A multi-model approach for supporting the personalization of ubiquitous learning applications",

abstract = "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.",

author = "Paredes, {Rosa G.J.} and Hiroaki Ogata and Yoneo Yano and Martin, {Gerardo Ayala San}",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/WMTE.2005.5",

language = "English",

isbn = "0769523854",

series = "Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005",

pages = "40--44",

booktitle = "Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005",

note = "IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005 ; Conference date: 28-11-2005 Through 30-11-2005",

}

TY - GEN

T1 - A multi-model approach for supporting the personalization of ubiquitous learning applications

AU - Paredes, Rosa G.J.

AU - Ogata, Hiroaki

AU - Yano, Yoneo

AU - Martin, Gerardo Ayala San

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33846984293&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33846984293&partnerID=8YFLogxK

U2 - 10.1109/WMTE.2005.5

DO - 10.1109/WMTE.2005.5

M3 - Conference contribution

AN - SCOPUS:33846984293

SN - 0769523854

SN - 9780769523859

T3 - Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005

SP - 40

EP - 44

BT - Proceedings - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005

T2 - IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005

Y2 - 27 November 2005 through 29 November 2005

ER -

A multi-model approach for supporting the personalization of ubiquitous learning applications

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this