Paper Info
Title
An Adaptive System Supporting Collaborative Learning Based On A Location-Based Social Network And Semantic User Modeling
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.
Year
DOI
Venue
2012
10.1155/2012/506810
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Field
DocType
Volume
World Wide Web,Collaborative learning,Social network,Adaptive system,Computer science,Global Positioning System,User modeling,Social Semantic Web,Semantic social network,Social network service
Journal
2012
ISSN
Citations 
PageRank 
1550-1477
2
0.40
References 
Authors
2
2
Name
Order
Citations
PageRank
Sook-young Choi1113.79
Jang-Mook Kang2156.65