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An English Vocabulary Learning System Based on Fuzzy Theory and Memory Cycle

Tzone I Wang19 Contact Information, 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


Contact Information Tzone Wang
Email: wti535@mail.ncku.edu.tw
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