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U-learning community: An interactive social learning model based on wireless sensor networks

Citation

Caytiles, RD and Jeon, SH and Kim, T-H, U-learning community: An interactive social learning model based on wireless sensor networks, Proceedings of the 2011 International Conference on Computational Intelligence and Communication Systems, CICN 2011, 7-9 October 2011, Gwalior, India, pp. 745-749. ISBN 978-076954587-5 (2011) [Refereed Conference Paper]

Copyright Statement

Copyright 2011 IEEE.

DOI: doi:10.1109/CICN.2011.165

Abstract

The emergence of Wireless Sensor Networks have become an evolving technology that has a wide range of potential applications to improve the quality of teaching and learning in an ubiquitous environment. WSNs act as the ultimate interface between the learners and the context enhancing the interactivity and improve the acquisition or collection of learner's contextual information in ubiquitous learning. This paper presents a model of ubiquitous learning environment system based on the concepts of ubiquitous computing technology that enables learning to take place anywhere at any time. The u-learning model is a web-based e-learning system that could enable learners to acquire knowledge and skills through interaction between them and the ubiquitous learning environment. The communication between devices and the embedded computers in the environment allows learners to learn in an environment of their interest while they are moving, hence, attaching them to their learning environment.

Item Details

Item Type:Refereed Conference Paper
Keywords:u-learning community, u-learning environment, wireless sensor networks
Research Division:Technology
Research Group:Communications Technologies
Research Field:Wireless Communications
Objective Division:Education and Training
Objective Group:Learner and Learning
Objective Field:Learner and Learning Processes
Author:Kim, T-H (Dr Tai Kim)
ID Code:118144
Year Published:2011
Deposited By:Information and Communication Technology
Deposited On:2017-07-05
Last Modified:2017-10-05
Downloads:0

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