• DocumentCode
    3309067
  • Title

    An empirical study on a computer-based corpus approach to English vocabulary teaching and learning

  • Author

    Yunxia, Song ; Min, Yang ; Zhuo, Sun

  • Author_Institution
    Foreign Languages Sect. of Agric. Div., Jilin Univ., Changchun, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    218
  • Lastpage
    221
  • Abstract
    This paper investigates the effectiveness of a computer-based corpus approach to English vocabulary teaching and learning. The empirical study in this paper illustrates that corpus does benefit English vocabulary teaching and learning but there are some problems of its application. Pedagogical implications are then provided to enhance the effective integration of corpus and English vocabulary teaching and learning: 1) teachers and learners need to negotiate frequently during the whole process of corpus-based DDL; 2) corpus use in vocabulary teaching and learning must adapt to the students´ needs and teaching environments; 3) the alternative use of corpus and dictionaries will enhance the efficiency of corpus-based vocabulary learning of the students; 4) integrating cooperative learning and DDL will promote students´ vocabulary learning greatly.
  • Keywords
    computer aided instruction; dictionaries; linguistics; teaching; English vocabulary learning; English vocabulary teaching environment; computer-based corpus approach; cooperative learning; corpus-based DDL; dictionary; empirical study; information technology; pedagogical implication; student needs; Agriculture; Application software; Computer science; Dictionaries; Education; Information technology; Natural languages; Sun; Testing; Vocabulary; Corpus; English Vocabulary Teaching and Learning; information technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234423
  • Filename
    5234423