Cross analytics of student and course activities from e-book operation logs

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

Abstract

In this paper, we propose a cross analytics methodology of student activities and course activities using e-Book operation logs collected in 15 courses with face-to-face lecture style over 4 weeks. These courses commonly use the same lecture materials, but are conducted by different teachers. The new aspect of our research is that we perform cross analysis over courses. Most past researches focus on students' activities in a specific course, and give discussions about how the students behaved, how the behaviors differ from each other. In contrast, our research focuses on the course activities and conducts a comparison among courses. First, we begin with data alignment for row data to rectify a student activity every 10 seconds. Through our analytics, it becomes clear that whether students' activities varies with teachers or their teaching styles. In the experiments, we applied the proposed analytics to 1.1-million operation logs, and found out interesting characteristics through the comparison across courses.

Original languageEnglish
Title of host publicationProceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings
EditorsAhmad Fauzi Mohd Ayub, Antonija Mitrovic, Jie-Chi Yang, Su Luan Wong, Wenli Chen
PublisherAsia-Pacific Society for Computers in Education
Pages433-438
Number of pages6
ISBN (Print)9789869401265
Publication statusPublished - Jan 1 2017
Event25th International Conference on Computers in Education, ICCE 2017 - Christchurch, New Zealand
Duration: Dec 4 2017Dec 8 2017

Publication series

NameProceedings of the 25th International Conference on Computers in Education, ICCE 2017 - Main Conference Proceedings

Other

Other25th International Conference on Computers in Education, ICCE 2017
CountryNew Zealand
CityChristchurch
Period12/4/1712/8/17

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Computer Science Applications
  • Information Systems
  • Hardware and Architecture
  • Education

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