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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


Hiroaki Ogata

Misato Oi

Kousuke Mohri

Fumiya Okubo

Atsushi Shimada

Masanori Yamada

Sachio Hirokawa


Hiroto Yasuura

Chong-Min Kyung

Yongpan Liu

Youn-Long Lin


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.


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.

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
Public URL