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A Corpus-Based Discourse Analysis of Abstracts of Research Articles and M.A. Theses Related to Computer-Assisted Language Learning 원문보기

  • 저자

    Kang, Hee Yeon

  • 학위수여기관

    HANKUK UNIVERSITY OF FOREIGN STUDIES. Graduate School

  • 학위구분

    국내석사

  • 학과

    TESOL학과

  • 지도교수

    Lee, Chung Hyun

  • 발행년도

    2014

  • 총페이지

    85 p

  • 키워드

  • 언어

    eng

  • 원문 URL

    http://www.riss.kr/link?id=T13539063&outLink=K  

  • 초록

    A Corpus-Based Discourse Analysis of Abstracts of Research Articles and M.A. Theses Related to Computer-Assisted Language Learning The research in computer-assisted language learning (CALL) has developed more rapidly compared with the other areas in foreign language teaching and learning (FLT/L) along with technology development. There is need to be conducted the study that reviewing changings in research topics to provide in-depth information to the researchers and language teachers who are interested in this field. In this regard, abstracts play an important role in providing all essential information of research articles. In spite of importance of abstracts, master graduates have difficulties both in organizing structure and in choosing appropriate linguistic patterns and words in expressing their ideas. Genre-based discourse analysis can provide guidance for L2 learners in academic writing classroom. Thus, this study investigates the chronological research topics in the last fifteen years of two journal articles related to CALL, identifies the move features of abstracts in terms of move patterns, move frequency and abstract length and the lexico-grammatical patterns of each move in the articles of LLT (language learning and technology) and MALL (multimedia-assisted language learning), and compares them with those of M.A. theses to examine the shortcomings of their abstract writing. For the study, about 184 abstracts of LLT journal articles and 343 abstracts from MALL journal articles published from 1998 to 2012 and 103 abstracts of M.A. theses are collected and analyzed. To analyze a number of abstract texts, the corpus analyzer tools, AntConc and AntMover were used. The abstracts of LLT, MALL and M.A. theses were analyzed with Swales and Feak's (2004) BAMRC framework to identify structure move patterns. The results of the study showed that the research in MALL seem to reflect the technology development in L2 classroom earlier than LLT. Second, the move pattern AMR and BAMR were more frequent than BAMRC model in LLT and MALL journal articles, meanwhile abstracts from M.A. theses tended to follow BAMRC model. As for the lexico-grammatical patterns, the ample lexico-grammatical examples of each move in journal articles were identify. However, M.A. graduates showed a very limited language patterns with a small vocabulary size in their abstract writing. Based on the finding, corpus-based genre writing instructional model were introduced.


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