Identifying and analyzing the learning behaviors of students using e-books

Chengjiu Yin, Fumiya Okubo, Atsushi Shimada, Misato Oi, Sachio Hirokawa, Hiroaki Ogata

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

25 Citations (Scopus)

Abstract

Analyses on students' learning behaviors comprise an important thrust in education research. This study focused on e-books system used in the classroom and this system recorded students' learning logs in their daily academic life. These learning logs can be used to analysis students' learning behaviors. By performing partial correlation analysis, the study found that a number of learning behaviors have a significant relation with students' test scores.

Original languageEnglish
Title of host publicationProceedings of the 23rd International Conference on Computers in Education, ICCE 2015
EditorsYu-Ju Lan, Hsin-Yih Shyu, Chengjiu Yin, Hiroaki Ogata, Wenli Chen, Ming-Fong Jan, Sahana Murthy, Ying-Tien Wu, Siu Cheung Kong, Xiaoqing Gu, Beaumie Kim, Yongwu Miao, Niwat Srisawasdi, Yuping Wang, Chiu-Pin Lin, Carol H.C. Chu, Jari Laru, Miguel Nussbaum, Ma. Mercedes T. Rodrigo, Ju-Ling Shih, Amali Weerasinghe, Weiqin Chen, Feiyue Qiu, Vania Dimitrova, Ching-Kun Hsu, Lung-Hsiang Wong, Maiga Chang, Tore Hoel, Yen-Hui Audrey Li, Jon Mason, Hitoshi Sasaki, Li Zhang
PublisherAsia-Pacific Society for Computers in Education
Pages118-120
Number of pages3
ISBN (Electronic)9784990801458
Publication statusPublished - 2015
Event23rd International Conference on Computers in Education, ICCE 2015 - Hangzhou, China
Duration: Nov 30 2015Dec 4 2015

Publication series

NameProceedings of the 23rd International Conference on Computers in Education, ICCE 2015

Other

Other23rd International Conference on Computers in Education, ICCE 2015
Country/TerritoryChina
CityHangzhou
Period11/30/1512/4/15

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Human-Computer Interaction
  • Education

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