Article: Analysis of ubiquitous learning logs using social network analysis Journal: International Journal of Mobile Learning and Organisation (IJMLO) 2015 Vol.9 No.2 pp.101 - 123 Abstract: This paper describes approaches for analysing ubiquitous learning logs (ULLs) using visualisation based on network graphs and time-maps. By constructing real-world corpora comprising accumulated ULLs with information on what, when, where, and how learners have learned in the real world and analysing them, we can support learners to learn more effectively. The amount of accumulated data is large and the relationships among the data are so complicated that it is difficult to grasp how closely the ULLs are related to each other. Therefore, this paper proposes a system to help learners grasp relationships among learners, knowledge, place and time, using network graphs and network analysis. In the evaluation experiment, 17 international students studying at the Kyushu University and Tokushima University evaluated the system's performance, usability, as well as the ease of understanding and learning using the system. Based on the experiment results, we conclude that analysing and visualising relationships between learners and ubiquitous learning are important factors to increase learning opportunities. Inderscience Publishers - linking academia, business and industry through research

Title: Analysis of ubiquitous learning logs using social network analysis

Authors: Kousuke Mouri; Hiroaki Ogata; Noriko Uosaki

Addresses: Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka,Nishi-Ku, Fukuoka, 819-0395, Japan ' Faculty of Arts and Science, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka,Nishi-Ku, Fukuoka, 819-0395, Japan ' Center for International Education and Exchange, Osaka University, 1-1 Yamadaoka, Suita, 565-0871, Japan

Abstract: This paper describes approaches for analysing ubiquitous learning logs (ULLs) using visualisation based on network graphs and time-maps. By constructing real-world corpora comprising accumulated ULLs with information on what, when, where, and how learners have learned in the real world and analysing them, we can support learners to learn more effectively. The amount of accumulated data is large and the relationships among the data are so complicated that it is difficult to grasp how closely the ULLs are related to each other. Therefore, this paper proposes a system to help learners grasp relationships among learners, knowledge, place and time, using network graphs and network analysis. In the evaluation experiment, 17 international students studying at the Kyushu University and Tokushima University evaluated the system's performance, usability, as well as the ease of understanding and learning using the system. Based on the experiment results, we conclude that analysing and visualising relationships between learners and ubiquitous learning are important factors to increase learning opportunities.

Keywords: ubiquitous learning logs; network graphs; time maps; information visualisation; mobile learning; m-learning; SNA; social network analysis; context-aware learning; learning analytics.

DOI: 10.1504/IJMLO.2015.070702

International Journal of Mobile Learning and Organisation, 2015 Vol.9 No.2, pp.101 - 123

Received: 04 Feb 2015
Accepted: 24 Apr 2015
Published online: 20 Jul 2015 *

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Title: Analysis of ubiquitous learning logs using social network analysis

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