Sensor Based Smart Learning Environment using Ambient Intelligence

S Vetrivel, S Pandikumar

Abstract


AmI (Ambient Intelligence) play an important role in education by engaging, motivating and enriching the learning environment, increasing students’ access to information, filtering information traffic and helping students’ active learning and collaboration by enhancing their learning environment to significantly motivate them to learn. To address the problem of distraction due to information traffic and the absence of motivation system in the institutions for the student’s paves the way to implement ambient intelligent system with a sensory unit which the institutions are ready to offer. Leveraging these resources to attack this issue requires creating a chain reaction to be initiated. On the other hand it exposes the student community to concentrate in class room sessions and make the learning environment conducive. Automation of this process also needs in-depth understanding of both institutions infrastructure and latest development in electronics. Without developing this intelligence system the distraction or unfocussed class room leads to lack of knowledge of students throughout the country. Devising Ambient Intelligent system in the class rooms is the only way to eliminate this issue. This paper exposes the ideology and working way of AmI in education and smart environments.

Keywords


Ambient Intelligence, Ambient Learning, Smart Learning

References


Diane J. Cook and Sajal K. Das , “How Smart are our Environments? An Updated Look at the State

of the Art”

.

Cook DJ, Das SK, How smart are our environments? An updated look at the state of the art. J Pervasive Mobile Comput 3(2):53–73, (2007).

Leonidis A, Margetis G, Antona M, Stephanidis C ClassMATE: enabling ambient intelligence in the classroom. World Academy of Science, Engineering and Technology, 66: 594 – 598, (2011)

Cooperstock, J.: Classroom of the Future: Enhancing Education through Augmented reallity. In: HCI International, pp. 688–692 (2001).

Shi, Y., Xie, W., Xu, G., Shi, R., Chen, E., Mao, Y., Liu, F.: The smart classroom: Merging technologies for seamless tele-education. IEEE Pervasive Computing, 47–55 (April-June 2003).

Breuer, H., Baloian, N., Sousa, C., Matsumoto, M.: Interaction design patterns for classroom environments. In: Jacko, J.A. (ed.) HCI 2007. LNCS, vol. 4553, pp. 163–172. Springer, Heidelberg (2007).

Yau, S.S., Gupta, S.K.S., Karim, F., Ahamed, S.I., Wang, Y., Wang, B.: Smart Classroom: Enhancing Collaborative Learning Using Pervasive Computing Technology. Engineering, 1–9 (2003).

J.Augusto, “Ambient intelligence: The confluence of pervasive computing and artificial intelligence in intelligent computing everywhere”, pp.213-234, Springer, 2007.


Full Text: PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

.......................................................................................................................................................................................................................

ISSN  2279 – 0381 |  IST HOMEJOURNAL HOME | Copyright IST 2012-13

.......................................................................................................................................................................................................................