TY - GEN
T1 - Real-Time Learning Analytics of e-Book Operation Logs for On-site Lecture Support
AU - Shimada, Atsushi
AU - Mouri, Kousuke
AU - Ogata, Hiroaki
N1 - Funding Information:
This work was supported by JST PRESTO Grant Number JPMJPR1505, Japan.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/3
Y1 - 2017/8/3
N2 - 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.
AB - 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.
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U2 - 10.1109/ICALT.2017.74
DO - 10.1109/ICALT.2017.74
M3 - Conference contribution
AN - SCOPUS:85030213256
T3 - Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
SP - 274
EP - 275
BT - Proceedings - IEEE 17th International Conference on Advanced Learning Technologies, ICALT 2017
A2 - Huang, Ronghuai
A2 - Vasiu, Radu
A2 - Kinshuk, null
A2 - Sampson, Demetrios G
A2 - Chen, Nian-Shing
A2 - Chang, Maiga
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Advanced Learning Technologies, ICALT 2017
Y2 - 3 July 2017 through 7 July 2017
ER -