Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 31023
ClassMATE: Enabling Ambient Intelligence in the Classroom

Authors: Asterios Leonidis, George Margetis, Margherita Antona, Constantine Stephanidis


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: Education, Ambient intelligence, smart classroom, pervasivecomputing

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1939


[1] Amigo: Ambient intelligence for the networked home environment,, 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: 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