Supporting Teaching/Learning with Automatically Generated Quiz System

ID: 53498 Type: Full Paper
  1. Kousuke Mouri, Tokyo University of Agriculture and Technology, Japan
  2. Noriko Uosaki, Osaka University, Japan
  3. Mohammad Nehal Hasnine, Kyoto University, Japan
  4. Atsushi Shimada, Kyushu University,, Japan
  5. Chengjiu Yin, Kobe University, Japan
  6. Keiichi Kaneko, Tokyo University of Agriculture and Technology, Japan
  7. Hiroaki Ogata, Kyoto Univeristy, Japan

Wednesday, October 17 10:15-10:45 AM Location: Las Vegas Ballroom 5 View on map

No presider for this session.

Abstract: This paper describes an automatic quiz generation system to support memory retention utilizing digital textbook logs as well as to reduce teachers' burden to create quizzes. An experimental was conducted to examine whether our automatically generated quiz system more effective in learners’ learning achievement than teacher-created quizzes. Twelve international students participated in the evaluation experiment. The result showed that our proposed system and teacher-created quizzes were equivalently effective. A correlation analysis was conducted in order to find the correlations among learning achievement, the number of quizzes and each variable in a questionnaire. It was found that the number of the quizzes and their learning achievement had strong positive correlation.

Topic

Conference attendees are able to comment on papers, view the full text and slides, and attend live presentations. If you are an attendee, please login to get full access.