Hiroaki Ogata
Learning Analytics for E-Book-Based Educational Big Data in Higher Education
Ogata, Hiroaki; Oi, Misato; Mohri, Kousuke; Okubo, Fumiya; Shimada, Atsushi; Yamada, Masanori; Wang, Jingyun; Hirokawa, Sachio
Authors
Misato Oi
Kousuke Mohri
Fumiya Okubo
Atsushi Shimada
Masanori Yamada
Dr Jingyun Wang jingyun.wang@durham.ac.uk
Assistant Professor
Sachio Hirokawa
Contributors
Hiroto Yasuura
Editor
Chong-Min Kyung
Editor
Yongpan Liu
Editor
Youn-Long Lin
Editor
Abstract
This study provides an overview of the educational big data research project at Kyushu University, Japan. This project uses an e-book system called BookLooper, which allows students to browse e-books on web browsers, PCs (personal computers), and mobile devices such as smartphones and tablet PCs. This study reveals the research issues of this project. As of December 2015, approximately 20,000 students and 10,000 faculty staffs use the e-book system, and more than 4.7 million log data have been accumulated. This paper describes why the e-book system was introduced in university education and initial findings.
Citation
Ogata, H., Oi, M., Mohri, K., Okubo, F., Shimada, A., Yamada, M., …Hirokawa, S. (2017). Learning Analytics for E-Book-Based Educational Big Data in Higher Education. In H. Yasuura, C. Kyung, Y. Liu, & Y. Lin (Eds.), Smart Sensors at the IoT Frontier (327-350). Springer Verlag. https://doi.org/10.1007/978-3-319-55345-0_13
Online Publication Date | May 31, 2017 |
---|---|
Publication Date | 2017 |
Deposit Date | Sep 21, 2020 |
Publisher | Springer Verlag |
Pages | 327-350 |
Edition | 1st ed. |
Book Title | Smart Sensors at the IoT Frontier |
Chapter Number | 13 |
ISBN | 978-3-319-55344-3 |
DOI | https://doi.org/10.1007/978-3-319-55345-0_13 |
Public URL | https://durham-repository.worktribe.com/output/1655991 |
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