An automatic quiz generation system utilizing digital textbook logs

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

研究成果: ジャーナルへの寄稿学術誌査読

3 被引用数 (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.

ジャーナルInteractive Learning Environments
出版ステータス出版済み - 2021

!!!All Science Journal Classification (ASJC) codes

  • 教育
  • コンピュータ サイエンスの応用


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