Ubiquitous Learning Logs Analytics

Authors

  • Kousuke MOURI Faculty of Arts and Science and the Graduate School of Information Science and Electrical Engineering, University of Kyushu, Japan Author
  • Hiroaki OGATA Faculty of Arts and Science and the Graduate School of Information Science and Electrical Engineering, University of Kyushu, Japan Author
  • Noriko UOSAKI Center for International Education and Exchange, Osaka University, Japan Author
  • SongRan LIU Advanced Technology and Science, University of Tokushima, Japan Author

Abstract

This paper describes a system that can be used to visualize and analyze some ubiquitous learning logs to discover several learning patterns and trends. Visualization and analysis of the system are based on vast amount of learning data in ubiquitous learning environment. Ubiquitous Learning Log (ULL) is defined as a digital record of what learners have learned in the daily life using ubiquitous technologies. It allows learners to log their learning experiences with photos, audios, videos, location, RFID tag and sensor data, and to share and to reuse ULL with others. This paper will reveal about the relationship between the ubiquitous learning logs and learners by using network graph.

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Published

2014-11-30

How to Cite

Ubiquitous Learning Logs Analytics. (2014). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/3032