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Title: Supporting Teaching/Learning with Automatically Generated Quiz System
Authors: Mouri, Kousuke
Uosaki, Noriko
Hasnine, Nehal, Mohammad
Shimada, Atsushi
Yin, Chengjiu
Kaneko, Keiichi
Ogata, Hiroaki
Author's alias: 緒方, 広明
Issue Date: 15-Aug-2018
Publisher: Association for the Advancement of Computing in Education
Journal title: World Conference on e-Learning
Start page: 178
End page: 187
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.
Description: E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, Oct 15, 2018 in Las Vegas, NV, United States
Rights: © 2018 Association for the Advancement of Computing in Education (AACE). Reprinted from the with permission of AACE (
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