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A Learning System for Related Words based on Thesaurus and Image Retrievals PROCEEDINGS

, , Tokyo University of Agriculture and Technology, Japan ; , 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

Abstract

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.

Citation

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 .

Keywords

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References

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