Real-Time Learning Analytics of e-Book Operation Logs for On-site Lecture Support

Atsushi Shimada, Kousuke Mouri, Hiroaki Ogata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

A real-time learning analytics system is proposed for in-classroom use. We used an e-learning system and an e-book system to collect real-time learning activities during lectures. The collected logs were analyzed and presented visually on a web-based system for the teacher. The teacher can monitor how many students are viewing the same page as the teacher, whether they are following the explanation, or if they are reading previous or subsequent pages. Through a case study, we confirmed the effectiveness of the real-time learning analytics system, in terms of high synchronization between the teacher and the students, i.e., that the majority of students followed the teacher's explanation and added more bookmarks, highlights, or notes on the e-book, compared with the control group where the teacher did not use our system.

Original languageEnglish
Title of host publicationProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
EditorsRonghuai Huang, Radu Vasiu, Kinshuk, Demetrios G Sampson, Nian-Shing Chen, Maiga Chang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages274-275
Number of pages2
ISBN (Electronic)9781538638705
DOIs
Publication statusPublished - Aug 3 2017
Event17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017 - Timisoara, Romania
Duration: Jul 3 2017Jul 7 2017

Publication series

NameProceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017

Conference

Conference17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017
CountryRomania
CityTimisoara
Period7/3/177/7/17

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Education

Cite this

Shimada, A., Mouri, K., & Ogata, H. (2017). Real-Time Learning Analytics of e-Book Operation Logs for On-site Lecture Support. In R. Huang, R. Vasiu, Kinshuk, D. G. Sampson, N-S. Chen, & M. Chang (Eds.), Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017 (pp. 274-275). [8001780] (Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT.2017.74