An english vocabulary learning system based on fuzzy theory and memory cycle

  • Tzone-I Wang
  • , Ti Kai Chiu
  • , Liang Jun Huang
  • , Ru Xuan Fu
  • , Tung Cheng Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Web Based Learning - ICWL 2009 - 8th International Conference, Proceedings
Pages420-423
Number of pages4
DOIs
Publication statusPublished - 2009 Sept 28
Event8th International Conference on Web Based Learning, ICWL 2009 - Aachen, Germany
Duration: 2009 Aug 192009 Aug 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5686 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Web Based Learning, ICWL 2009
Country/TerritoryGermany
CityAachen
Period09-08-1909-08-21

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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