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

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