TY - GEN
T1 - Learning behavioral pattern analysis based on students' logs in reading digital books
AU - Yin, Chengjiu
AU - Uosaki, Noriko
AU - Chu, Hui Chun
AU - Hwang, Gwo Jen
AU - Liu, Gi Zen
AU - Hwang, Jau Jian
AU - Hatono, Itsuo
AU - Kumamoto, Etsuko
AU - Tabata, Yoshiyuki
N1 - Funding Information:
Part of this research work was supported by the Grant-in-Aid for Scientific Research No.16H03078 from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) in Japan.
Publisher Copyright:
© 2017 Asia-Pacific Society for Computers in Education. All rights reserved.
PY - 2017
Y1 - 2017
N2 - In this paper, we presented a study developing a digital textbook system, which could be used anywhere, anytime. An experiment was conducted using the developed system to collect students' learning logs for analyzing their behavioral patterns on an Educational Technology course for graduate students. In the experiment, we assigned the students to read an academic English journal article. The lag-sequential analysis method was employed to analyze and infer their behavioral patterns. Several interesting behavioral patterns were found from the analysis results. The findings are helpful to the improvement of the digital textbook system; moreover, some behavioral patterns could provide helpful references for teachers to improve teaching materials in the future.
AB - In this paper, we presented a study developing a digital textbook system, which could be used anywhere, anytime. An experiment was conducted using the developed system to collect students' learning logs for analyzing their behavioral patterns on an Educational Technology course for graduate students. In the experiment, we assigned the students to read an academic English journal article. The lag-sequential analysis method was employed to analyze and infer their behavioral patterns. Several interesting behavioral patterns were found from the analysis results. The findings are helpful to the improvement of the digital textbook system; moreover, some behavioral patterns could provide helpful references for teachers to improve teaching materials in the future.
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M3 - Conference contribution
AN - SCOPUS:85053441848
SN - 9789869401265
T3 - Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
SP - 549
EP - 557
BT - Proceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
A2 - Mohd Ayub, Ahmad Fauzi
A2 - Mitrovic, Antonija
A2 - Yang, Jie-Chi
A2 - Wong, Su Luan
A2 - Chen, Wenli
PB - Asia-Pacific Society for Computers in Education
T2 - 25th International Conference on Computers in Education, ICCE 2017
Y2 - 4 December 2017 through 8 December 2017
ER -