Real-time analysis of digital textbooks: What keywords make lecture difficult?

Kousuke Mouri, Atsushi Shimada, Chengjiu Yin, Uosaki Noriko, Vachirawit Tengchaisri, Keiichi Kaneko

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

Abstract

This paper describes a real-time learning analytics to find learning contents or keywords that students don't understand in digital textbooks. We developed a digital textbook viewer system that can collect students' learning logs. By analyzing and visualizing the collected learning logs in real time, teachers can visually find the keywords that students don't understand during a class. This paper describes the contribution of real-time learning analytics for supporting teachers.

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
Pages733-735
Number of pages3
ISBN (Print)9789869401265
Publication statusPublished - 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
Country/TerritoryNew 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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