An English dialogue companion system for supporting conversation practice

Yi Ting Huang, Yi Lung Lin, Jie Chi Yang, Yu Chieh Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we proposed an English dialogue companion system, called EDC, using predicate argument structure by Support Vector Machine (SVM) classifier for semantic analyzer in order to support elementary students for learning English one on one. Three phases of learning activities were designed to enhance the English learning environment, which are the choosing learning companion phase, the conversation phase, and the teaching phase.We also conducted a between-subject design experiment to evaluate the effectiveness of the EDC system in terms of English achievement and using experience. Results of this study showed that there is no significant difference between the experimental group and the control group on English achievement. However, more than half subjects in the lower score group got higher score in post-test than in pre-test. Thus, we assumed that the system could be useful for students in the lower English achievement degree.

Original languageEnglish
Title of host publicationProceedings - ICCE 2008
Subtitle of host publication16th International Conference on Computers in Education
Pages43-47
Number of pages5
StatePublished - 2008
Event16th International Conference on Computers in Education, ICCE 2008 - Taipei, Taiwan
Duration: 27 Oct 200831 Oct 2008

Publication series

NameProceedings - ICCE 2008: 16th International Conference on Computers in Education

Conference

Conference16th International Conference on Computers in Education, ICCE 2008
Country/TerritoryTaiwan
CityTaipei
Period27/10/0831/10/08

Keywords

  • Dialogue system
  • English learning
  • Learning companion

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