The ClassMATE framework enables context aware education in the classroom

ClassMATE aims to transform the conventional classroom into a context aware AmI environment. It constitutes an integrated architecture for pervasive computing environments, used to transform the conventional classroom into a context-aware AmI environment. ClassMATE facilitates fundamental issues such as heterogeneous interoperability of AmI services, synchronous and asynchronous communication, resilience, security, context aware orchestration and ease of use in the intelligent classroom of the future. A key feature of the ClassMATE architecture is the education-centric approach that has been adopted during its design.


In the context of the classroom, ClassMATE is responsible for:

  • transparent content access and management by any ClassMATE application and service to a centralized content repository
  • content classification
  • heterogeneous remote and local devices manipulation (e.g. laptop, smart student’s desk, smart teacher’s desk, smart board, portable devices, etc.)
  • behavior monitoring and evaluation of the classroom users (students and teachers)
  • authorization management of the intelligent classroom stakeholders (users and applications)


Antona, M., Leonidis, A., Margetis, G., Korozi, M., Ntoa, S., & Stephanidis, C. (2011). A Student-Centric Intelligent Classroom. In D. Keyson et al. (Eds.), Proceedings of the 2nd International Joint Conference in Ambient Intelligence (AmI 2011), 16-18 November, Amsterdam, The Netherlands (pp. 248-252). Berlin Heidelberg, Germany: Springer [LNCS: 7040].

Leonidis, A., Margetis, G., Antona, M., & Stephanidis, C. (2011). An Intelligent Task Assignment and Personalization System for Students’ Online Collaboration. In C. Stephanidis (Ed.), Universal Access in Human-Computer Interaction. Applications and Services - Volume 8 of the combined Proceedings of the 14th International Conference on Human-Computer Interaction (HCI International 2011), Orlando, FL, USA, 9-14 July, pp. 548-557. Berlin Heidelberg: Lecture Notes in Computer Science Series of Springer (LNCS 6768, ISBN: 978-3-642-21656-5).