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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 506810, 9 pages
http://dx.doi.org/10.1155/2012/506810
Research Article

An Adaptive System Supporting Collaborative Learning Based on a Location-Based Social Network and Semantic User Modeling

1Department of Computer Education, Woosuk University, Jeollabukdo 565-701, Republic of Korea
2Electronic Commerce Research Institute of Dongguk University, Gyeongsangbuk-do 780-714, Republic of Korea

Received 2 November 2011; Accepted 2 January 2012

Academic Editor: Tai Hoon Kim

Copyright © 2012 Sook-Young Choi and Jang-Mook Kang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper presents an adaptive e-learning system which supports collaborative learning based on a location-based social network and semantic modeling. In the system, a social network among e-learning learners is dynamically constructed on the basis of the location information of learners using GPS sensors for collaborative learning. In addition, user modeling for semantic social network and adaptive e-learning is supported. For these, a mechanism that supports the construction of a dynamic social network using the location information of smart phones is provided. The user modeling for the construction of a semantic social network and the support of adaptive e-learning considers the information such as the users’ achievement, preference, and learning goal. Through this system, e-learners can find mentors who are able to facilitate their learning and create communities for collaborative learning offline and online. The support of a location-based social network service and semantic user model in our system would increase interactions among e-learners and improve satisfaction regarding their mobile learning environment.