ClassMATE: Enabling Ambient Intelligence in the Classroom
Ambient Intelligence (AmI) environments bring
significant potential to exploit sophisticated computer technology in
everyday life. In particular, the educational domain could be
significantly enhanced through AmI, as personalized and adapted
learning could be transformed from paper concepts and prototypes to
real-life scenarios. In this paper, an integrated framework is
presented, named ClassMATE, supporting ubiquitous computing and
communication in a school classroom. The main objective of
ClassMATE is to enable pervasive interaction and context aware
education in the technologically augmented classroom of the future.
[1] Amigo: Ambient intelligence for the networked home environment,
http://www.hitech-projects.com/euprojects/amigo/index.htm, last visit at
04/06/2010
[2] Cook, D. J., Augusto, J. C., Jakkula, V. R. (2009). Ambient intelligence:
Technologies, applications, and opportunities. Pervasive and Mobile
Computing, Volume 5, Issue 4, August 2009, Pages 277-298.
[3] Grammenos, D., Zabulis, X., Argyros, A.A., Stephanidis, C. (2009).
FORTH-ICS internal RTD Programme 'Ambient Intelligence and Smart
Environments, In the Proceedings of the 3rd European Conference on
Ambient Intelligence, Salzburg, Austria, November 18-21, 2009.
[4] H. Abut and Y. Öztürk, "Interactive Classroom for DSP /
Communications Courses", in Proc. ICASSP 1997s, Munich, Germany,
April 1997. Vol.: I, pp. 15-18.
[5] IEEE Learning Technology Standards Committee, "Draft Standard for
Learning Technology-Learning Technology Systems Architecture
(LTSA)", IEEE Computer Society, IEEE P1484.1/D9, 2001-11-30,
2001.
[6] IEEE LOM, "Draft Standard for Learning Object Metadata", IEEE
Learning Technology Standards Committee, IEEE 1484.12.1-2002, 15
July 2002
[7] IST Advisory Group, Scenarios for Ambient Intelligence in 2010.
Electronically available at: ftp://ftp.cordis.europa.eu/pub/ist/docs/
istagscenarios2010.pdf
[8] M. Antona, G. Margetis, S. Ntoa, A. Leonidis, M. Korozi, G. Paparoulis,
C. Stephanidis, "Ambient Intelligence in the classroom: an augmented
school desk", 3rd Interational Conference on Applied Human Factors
and Ergonomics, to be published.
[9] M. Janse, P. Vink, N. Georgantas, "Amigo Architecture: Service
Oriented Architecture for Intelligent Future In-Home Networks",
Constructing Ambient Intelligence, pp. 371-378, Springer Berlin
Heidelberg, 2008.
[10] P. Brusilovsky, "KnowledgeTree: a distributed architecture for adaptive
e-learning" in Proc. 13th international World Wide Web Conference on
Alternate Track Papers & Posters, New York, NY, USA, 2004.
[11] Y. Georgalis, D. Grammenos, C. Stephanidis, "Middleware for Ambient
Intelligence Environments: Reviewing Requirements and
Communication Technologies" in Proc. 13th International Conference
on Human-Computer Interaction (HCI International 2009), San Diego,
2009, pp. 168-177.
[12] S. S. Yau, et al., "A Smart Classroom for Enhancing Collaborative
Learning Using Pervasive Computing Technology", in Proc. 2nd ASEE
Int-l Colloquium on Eng. Education (ASEE2003), 2003
[1] Amigo: Ambient intelligence for the networked home environment,
http://www.hitech-projects.com/euprojects/amigo/index.htm, last visit at
04/06/2010
[2] Cook, D. J., Augusto, J. C., Jakkula, V. R. (2009). Ambient intelligence:
Technologies, applications, and opportunities. Pervasive and Mobile
Computing, Volume 5, Issue 4, August 2009, Pages 277-298.
[3] Grammenos, D., Zabulis, X., Argyros, A.A., Stephanidis, C. (2009).
FORTH-ICS internal RTD Programme 'Ambient Intelligence and Smart
Environments, In the Proceedings of the 3rd European Conference on
Ambient Intelligence, Salzburg, Austria, November 18-21, 2009.
[4] H. Abut and Y. Öztürk, "Interactive Classroom for DSP /
Communications Courses", in Proc. ICASSP 1997s, Munich, Germany,
April 1997. Vol.: I, pp. 15-18.
[5] IEEE Learning Technology Standards Committee, "Draft Standard for
Learning Technology-Learning Technology Systems Architecture
(LTSA)", IEEE Computer Society, IEEE P1484.1/D9, 2001-11-30,
2001.
[6] IEEE LOM, "Draft Standard for Learning Object Metadata", IEEE
Learning Technology Standards Committee, IEEE 1484.12.1-2002, 15
July 2002
[7] IST Advisory Group, Scenarios for Ambient Intelligence in 2010.
Electronically available at: ftp://ftp.cordis.europa.eu/pub/ist/docs/
istagscenarios2010.pdf
[8] M. Antona, G. Margetis, S. Ntoa, A. Leonidis, M. Korozi, G. Paparoulis,
C. Stephanidis, "Ambient Intelligence in the classroom: an augmented
school desk", 3rd Interational Conference on Applied Human Factors
and Ergonomics, to be published.
[9] M. Janse, P. Vink, N. Georgantas, "Amigo Architecture: Service
Oriented Architecture for Intelligent Future In-Home Networks",
Constructing Ambient Intelligence, pp. 371-378, Springer Berlin
Heidelberg, 2008.
[10] P. Brusilovsky, "KnowledgeTree: a distributed architecture for adaptive
e-learning" in Proc. 13th international World Wide Web Conference on
Alternate Track Papers & Posters, New York, NY, USA, 2004.
[11] Y. Georgalis, D. Grammenos, C. Stephanidis, "Middleware for Ambient
Intelligence Environments: Reviewing Requirements and
Communication Technologies" in Proc. 13th International Conference
on Human-Computer Interaction (HCI International 2009), San Diego,
2009, pp. 168-177.
[12] S. S. Yau, et al., "A Smart Classroom for Enhancing Collaborative
Learning Using Pervasive Computing Technology", in Proc. 2nd ASEE
Int-l Colloquium on Eng. Education (ASEE2003), 2003
@article{"International Journal of Information, Control and Computer Sciences:62164", author = "Asterios Leonidis and George Margetis and Margherita Antona and Constantine Stephanidis", title = "ClassMATE: Enabling Ambient Intelligence in the Classroom", abstract = "Ambient Intelligence (AmI) environments bring
significant potential to exploit sophisticated computer technology in
everyday life. In particular, the educational domain could be
significantly enhanced through AmI, as personalized and adapted
learning could be transformed from paper concepts and prototypes to
real-life scenarios. In this paper, an integrated framework is
presented, named ClassMATE, supporting ubiquitous computing and
communication in a school classroom. The main objective of
ClassMATE is to enable pervasive interaction and context aware
education in the technologically augmented classroom of the future.", keywords = "Ambient intelligence, smart classroom, pervasivecomputing, education.", volume = "4", number = "6", pages = "1112-4", }
