A Learning System for Related Words based on Thesaurus and Image Retrievals PROCEEDINGS
Yasufumi Kowase, Keiichi Kaneko, Tokyo University of Agriculture and Technology, Japan ; Masatoshi Ishikawa, Tokyo Seitoku University, Japan
EdMedia + Innovate Learning, in Toronto, Canada ISBN 978-1-880094-81-5 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
There are many online vocabulary learning systems that utilize corresponding images and sounds. Most of these conventional systems support learners to memorize pairs of words and images. In this study, we have designed and implemented a vocabulary learning system where related word-image pairs are allocated around a pair of a word and an image and learners memorize these pairs associatively. We also verified effectiveness of the system by conducting an evaluation experiment. In the experiment, we compared memory retention ratio of word meanings by two Groups A and B where Group A learned vocabularies based on the pairs of words and images generated by our system while Group B learned the same vocabularies in the random order. As a result of a memory-retention test after one week, Group A showed better scores than Group B.
Kowase, Y., Kaneko, K. & Ishikawa, M. (2010). A Learning System for Related Words based on Thesaurus and Image Retrievals. In J. Herrington & C. Montgomerie (Eds.), Proceedings of ED-MEDIA 2010--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 3647-3654). Toronto, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved November 17, 2018 from https://www.learntechlib.org/primary/p/35166/.
© 2010 Association for the Advancement of Computing in Education (AACE)
- English Word Theater. (2007). Http://imaginelab.net/english/
- Weblio. (2010) http://thesaurus.weblio.jp/
- Hasegawa, K., Kaneko, K. & Miyakoda, H. (2006). English-Word Learning Systems based on Different Approaches. Proc. 7th Int’l Symp. Applied Linguistics and Language Teaching (pp. 499-503).
- Nakayama, K., Hara, T. & Nishio, S. (2007). Wikipedia Mining for an Association Web Thesaurus Construction. Proc. Int’l Conf. Web Information Systems Engineering (pp. 322-334).
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