
Supporting Teaching/Learning with Automatically Generated Quiz System
PROCEEDING
Kousuke Mouri, Tokyo University of Agriculture and Technology, Japan ; Noriko Uosaki, Osaka University, Japan ; Mohammad Nehal Hasnine, Kyoto University, Japan ; Atsushi Shimada, Kyushu University,, Japan ; Chengjiu Yin, Kobe University, Japan ; Keiichi Kaneko, Tokyo University of Agriculture and Technology, Japan ; Hiroaki Ogata, Kyoto Univeristy, Japan
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Las Vegas, NV, United States ISBN 978-1-939797-35-3 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
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.
Citation
Mouri, K., Uosaki, N., Hasnine, M.N., Shimada, A., Yin, C., Kaneko, K. & Ogata, H. (2018). Supporting Teaching/Learning with Automatically Generated Quiz System. In Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 178-187). Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE). Retrieved February 25, 2021 from https://www.learntechlib.org/primary/p/184961/.
© 2018 Association for the Advancement of Computing in Education (AACE)
References
View References & Citations Map- Davis, F.D. (1993). User acceptance of information technology: System characteristics, user perceptions, and behavioral impacts, International Journal of Man-Machine Studies, 38(3), pp.475-487.
- Ebbinghaus, H (1885). Classics in the History of Psychology (Translated by Henry A. Ruger & Clara E. Bussenius (1913) Originally published in New York by Teachers College, Columbia University. Http://psychclassics.yorku.ca/Ebbinghaus/index.htm.
- Flanagan, B., Yin, C., Hirokawa, S., Hashimato, K. & Tabata, Y. (2013). An Automated Method to Generate eLearning Quizzes from Online Language Learner Writing, International Journal of Distance Education Technologies, 11(4), pp.63-80.
- Johnson, D. & Wen, S. (1976). Effects of correct and extraneous markings under time limits on reading comprehension, Psychology in the Schools, 13, pp.454-456.
- Karpicke, J. And Blunt, J. (2007). Repeated retrieval during learning is the key to long-term retention, Journal of Memory and Language, 57(2), pp.151-162.
- Lee, Y., Kozar, K.A., & Larsen, K. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(50), pp.752–780.
- Li, M., Ogata, H., Hou, B., Uosaki, N. And Mouri, K. (2013). Context-aware and Personalization Method in Ubiquitous Learning Log System, Journal of Educational Technology & Society, 16 (3), pp.362–373.
- Mouri, K., Ogata, H., Li, M., Hou, B., Uosaki, N. & Liu, S. (2013). Learning Log Navigator: Supporting Task-based Learning Using Ubiquitous Learning Logs, Journal of Research and Practice on Technology Enhanced Learning, 8(1), pp.117
- 128.Mouri, K. & Ogata, H. (2015). Ubiquitous Learning Analytics in the Real-world Language Learning, Smart Learning Environments, 2(15), pp.1-18.
- Nakajima, T., Shinohara, S., & Tamura, Y. (2013). Typical functions of e-Textbook, implementation, and compatibility verification with use of ePub3 materials. Procedia Computer Science, 22, pp.1344–1353.
- Pimsleur, P. (1967). A memory schedule. The Modern Language Journal, 51(2), pp.73–75. Http://psychclassics.yorku.ca/Ebbinghaus/index.htm.
- Shimada, A., Mouri, K. & Ogata, H. (2017). Real-time Learning Analytics of e-Book Operation Logs for On-site Lecture Support, The 17th IEEE International Conference on Advanced Learning Technologies, pp.274-275.
- Shin, J.H. (2012). Analysis on the digital textbook’s different effectiveness by characteristics of learner International Journal of Education and Learning, 1(2), pp.23–38.
- Tulving, E., & Osler, S. (1968). Effectiveness of retrieval cues in memory for words. Journal of experimental psychology, 77(4), pp.593–601.
- Tulving, E. (1972). Episodic and semantic memory. In Tulving, E., & Donaldson, W. (Eds.) (1972). Organization of Memory. New York: Academic Press, pp.381–402.
- Zeng, J., Sakai, T., Yin, C., Suzuki, T. & Hirokawa, S. (2013). Automatic generation of tourism quiz using blogs, Artifical Life and Robotics, 17(3-4), pp.42-416.
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.
Suggest Corrections to References