An automatic quiz generation system utilizing digital textbook logs

Kousuke Mouri, Noriko Uosaki, Mohammad Hasnine, Atsushi Shimada, Chengjiu Yin, Keiichi Kaneko, Hiroaki Ogata

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


This paper describes an automatic quiz generation system designed to support language learning that utilizes digital textbook logs. Learners often memorize words in digital textbooks while preparing for an examination, and they often use the highlight function for the words. Previous studies regarding annotations and highlights have shown that learning only by using the highlight function on important content in textbooks did not affect learning achievements. Therefore, in this study, we developed a system that can support the repeated learning by analyzing digital textbook logs and providing appropriate quizzes. An evaluation experiment involving 31 international students was conducted to assess whether the quizzes provided by our proposed system are able to enhance the learning achievements as compared to teacher-created quizzes. The results show that the quizzes by our proposed system and the teacher-created quizzes were both equally effective. A correlation analysis was conducted to identify the correlation among the learning achievements, the number of quizzes, and each variable in questionnaires. We found that there is a positive correlation between the number of quizzes and the students’ learning achievements.

Original languageEnglish
Pages (from-to)743-756
Number of pages14
JournalInteractive Learning Environments
Issue number5
Publication statusPublished - 2021

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications


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