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

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  • Sook-Young Choi
  • Jang-Mook Kang

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.

Suggested Citation

  • Sook-Young Choi & Jang-Mook Kang, 2012. "An Adaptive System Supporting Collaborative Learning Based on a Location-Based Social Network and Semantic User Modeling," International Journal of Distributed Sensor Networks, , vol. 8(3), pages 506810-5068, March.
  • Handle: RePEc:sae:intdis:v:8:y:2012:i:3:p:506810
    DOI: 10.1155/2012/506810
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