Analysis of ubiquitous learning logs using social network analysis

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.