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EJ925849 - A Corpus-Based Approach to Online Materials Development for Writing Research Articles

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ERIC #:	EJ925849
Title:	A Corpus-Based Approach to Online Materials Development for Writing Research Articles
Authors:	Chang, Ching-Fen; Kuo, Chih-Hua
Descriptors:	Feedback (Response); Graduate Students; Writing (Composition); Language Research; Writing Research; Online Courses; Computer Science; Word Frequency; Computational Linguistics; Discourse Analysis; Coding; Literary Genres; Instructional Materials; Internet; Grammar; Language Usage; Research Reports; English for Academic Purposes; Periodicals; Journal Articles
Source:	English for Specific Purposes, v30 n3 p222-234 Jul 2011
More Info: Help Peer Reviewed:	Yes
Publisher:	Elsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail: usjcs@elsevier.com; Web site: http://www.elsevier.com
Publication Date:	2011-07-00
Pages:	13
Pub Types:	Journal Articles; Reports - Research
Abstract:	There has been increasing interest in the possible applications of corpora to both linguistic research and pedagogy. This study takes a corpus-based, genre-analytic approach to discipline-specific materials development. Combining corpus analysis with genre analysis makes it possible to develop teaching materials that are not only authentic but also research-supported. An RA corpus consisting of 60 research articles from three major journals of computer science was constructed. A word frequency list derived from the corpus was analyzed to develop a vocabulary profile for the genre. Move analysis was also conducted based on a self-developed coding scheme of rhetorical moves in the target genre. The move codes were tagged in the corpus texts so that individual moves and move patterns could be retrieved for the purpose of developing research-based online teaching materials for graduate students of computer science. Numerous examples of specialized vocabulary, grammatical usage, and move structures that showcase and characterize academic computer science discourse were used in not only lessons but also learning tasks, discussion topics, and online writing models. The paper ends with a discussion of the usefulness and effectiveness of the online RA writing materials, based on student feedback and assessments. (Contains 5 figures and 2 tables.)
Abstractor:	As Provided
Reference Count:	0

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Record Type:	Journal
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Sponsors:	N/A
ISBN:	N/A
ISSN:	ISSN-0889-4906
Audiences:	N/A
Languages:	English
Education Level:	N/A
Direct Link:	http://dx.doi.org/10.1016/j.esp.2011.04.001

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