| Title: |
Application of Swalesian Genre Analysis to Academic Writing Pedagogy: A Corpus Perspective |
| Language: |
English |
| Authors: |
Flowerdew, Lynne |
| Source: |
LEARN Journal: Language Education and Acquisition Research Network. Jan-Jun 2022 15(1):1-9. |
| Availability: |
Language Institute of Thammasat University. The Prachan Campus, 2 Prachan Road, Bangkok 10200 Thailand. e-mail: learnjournal@gmail.com; Web site: https://www.tci-thaijo.org/index.php/learn |
| Peer Reviewed: |
Y |
| Page Count: |
9 |
| Publication Date: |
2022 |
| Document Type: |
Journal Articles; Reports - Descriptive |
| Education Level: |
Higher Education; Postsecondary Education |
| Descriptors: |
Teaching Methods; Academic Language; Writing (Composition); Computational Linguistics; Graduate Students; Research Papers (Students); Literary Genres; Language Styles; Grammar; Language Usage; Vocabulary; Student Needs; Intellectual Disciplines; Writing Instruction |
| Geographic Terms: |
Michigan |
| ISSN: |
2630-0672 |
| Abstract: |
This short article reviews key corpus-based pedagogic initiatives in the spirit of the Swalesian tradition of genre analysis. Pedagogic genres covered include report writing, thesis writing, writing a grant proposal and legal essay writing. More recently, attention has been paid to the writing of research articles by postgraduate students for whom published articles are becoming a prerequisite for a PhD to be awarded. These pedagogic endeavours invariably commence from a top-down perspective. Genre moves are first identified followed by more bottom-up corpus searches for the identification of prototypical lexico-grammatical patterning for specific move structures. In a few cases, relevant sub-sections of freely available corpora, such as the Michigan Corpus of Upper-level Student Papers (MICUSP), are used. However, most pedagogic initiatives make use of self-compiled specialised corpora to meet the needs of students from a specific discipline. Genre-based research findings can also usefully inform classroom-based corpus activities. |
| Abstractor: |
As Provided |
| Entry Date: |
2022 |
| Accession Number: |
EJ1336130 |
| Database: |
ERIC |