A Systematic Review of Using Discipline-Specific Corpora for Lexicogrammatical Pattern Learning: A Case Study for Computer Science Postgraduates

Autor/inn/en	Wu, Shaoqun; Li, Liang; Witten, Ian; Yu, Alex
Titel	A Systematic Review of Using Discipline-Specific Corpora for Lexicogrammatical Pattern Learning: A Case Study for Computer Science Postgraduates
Quelle	In: International Journal of Computer-Assisted Language Learning and Teaching, 8 (2018) 1, S.31-49, Artikel 3 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2155-7098
DOI	10.4018/IJCALLT.2018010103
Schlagwörter	Case Studies; Computer Science Education; Graduate Students; Academic Language; Vocabulary Development; Language Patterns; Foreign Countries; Computational Linguistics; Computer Assisted Instruction; Grammar; Learning Activities; Phrase Structure; Metalinguistics; Teaching Methods; Writing (Composition); Departments; Word Lists; English (Second Language); Second Language Learning; Second Language Instruction; Student Attitudes; New Zealand + Suchen Sie Ihr Suchwort? Case study; Fallstudie; Case Study; Computer science lessons; Informatikunterricht; Graduate Study; Student; Students; Aufbaustudium; Graduiertenstudium; Hauptstudium; Studentin; Academic; Language; Languages; Akademiker; Sprache; Wissenschaftssprache; Wortschatzarbeit; Sprachmodell; Sprachstruktur; Ausland; Linguistics; Computerlinguistik; Computer based training; Computerunterstützter Unterricht; Grammatik; Lernaktivität; Phrasenstruktur; Metalanguage; Metasprache; Teaching method; Lehrmethode; Unterrichtsmethode; Schreibübung; Department; Abteilung; Wortliste; English as second language; English; Second Language; Englisch als Zweitsprache; Zweitsprachenerwerb; Fremdsprachenunterricht; Schülerverhalten; Neuseeland
Abstract	This article reports on a language learning system and a program designed to help students with academic vocabulary in the New Zealand university computer science department. The system is a learner-friendly corpus-based tool that allows students to look up lexico-grammatical patterns of a given word in academic writing. The program, based on a data-driven learning approach, comprises tutorials, workshops, and follow-up exercises that help students learn useful formulaic patterns of academic words that are typical in computer science. The authors' results capture students' awareness of language patterns in academic text and their growing confidence in using academic words with the assistance of the tool. Not surprisingly, interpreting and transferring the corpus data into students' own writing requires training and practice. The effectiveness and limitations of the resources and tools used in this learning program are examined, and suggestions are made for further improvement and future research. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01