Analysis of preview behavior in E-book system

Atsushi Shimada, Fumiya Okubo, Chengjiu Yin, Misato Oi, Kentaro Kojima, Masanori Yamada, Hiroaki Ogata

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

Abstract

This paper proposes a method to analyze preview behaviors of students using a learning management system (LMS) and an e-book system. We collected a large number of operation logs from e-books to analyze the process of learning. In addition, we conducted a quiz to test the level of understanding. This study especially focuses on an analysis of the relationship between learning behavior in preview and its effectiveness in the corresponding quiz. We apply a machine learning and classification methodology for behavior analysis. Experimental results report that students who undertake good preview achieve better scores in quizzes.

Original languageEnglish
Title of host publicationDoctoral Student Consortium (DSC) - Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015
PublisherAsia-Pacific Society for Computers in Education
Pages593-600
Number of pages8
ISBN (Electronic)9784990801496
Publication statusPublished - 2015
Event23rd International Conference on Computers in Education, ICCE 2015 - Hangzhou, China
Duration: Nov 30 2015Dec 4 2015

Other

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

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education

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  • Cite this

    Shimada, A., Okubo, F., Yin, C., Oi, M., Kojima, K., Yamada, M., & Ogata, H. (2015). Analysis of preview behavior in E-book system. In Doctoral Student Consortium (DSC) - Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015 (pp. 593-600). Asia-Pacific Society for Computers in Education.