An English Vocabulary Learning System Based on Fuzzy Theory and Memory Cycle
Tzone I Wang19
, Ti Kai Chiu19, Liang Jun Huang19, Ru Xuan Fu19 and Tung-Cheng Hsieh19
| (19) |
Department of Engineering Science, National Cheng Kung University, Taiwan |
Abstract
This paper proposes an English Vocabulary Learning System based on the Fuzzy Theory and the Memory Cycle Theory to help a
learner to memorize vocabularies easily. By using fuzzy inferences and personal memory cycles, it is possible to find an article
that best suits a learner. After reading an article, a quiz is provided for the learner to improve his/her memory of the vocabulary
in the article. Early researches use just explicit response (ex. quiz exam) to update memory cycles of newly learned vocabulary;
apart from that approach, this paper proposes a methodology that also modify implicitly the memory cycles of learned word.
By intensive reading of articles recommended by our approach, a learner learns new words quickly and reviews learned words
implicitly as well, and by which the vocabulary ability of the learner improves efficiently.
Keywords Extensive Reading - English Learning - Fuzzy Theory - Memory Cycle - e-learning - Personalized
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