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Rhetorical Structures and Features of Literature Review in Graduate Theses across Disciplines


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Rhetorical Structures and Features of Literature Review in Graduate Theses across Disciplines
 
2. Creator Author's name, affiliation, country Hazel Jean M. Abejuela; Bukidnon State University Malaybalay City, Philippines; Philippines
 
3. Subject Discipline(s)
 
3. Subject Keyword(s)
 
4. Description Abstract

This study attempted to analyze the various moves, move sequences, and evaluative expressions employed in the literature review section in graduate theses using genre-analytic system of moves. Results showed that rhetorical moves and patterns varied across disciplines. There were differences in the use of moves which were found to be influenced by the specific writing context and situation (academic discipline) to which the graduate students belonged: expectations of the audience (panel members; adviser, program director) and the researchers’ writing style. The data also showed that there were only few instances of definitely bounded evaluation paragraphs indicating the graduate students’ need for analytical and critical abilities to express their stance towards other writers’ papers.

Keywords: Evaluative expressions, literature review, rhetorical moves, genre approach

 
5. Publisher Organizing agency, location Liceo de Cagayan University
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2019-06-18
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://asianscientificjournals.com/new/publication/index.php/ljher/article/view/1259
 
10. Identifier Digital Object Identifier 10.7828/ljher.v14i1.1259
 
11. Source Journal/conference title; vol., no. (year) Liceo Journal of Higher Education Research; Vol 14, No 1 (2018): June
 
12. Language English=en en
 
13. Relation Supp. Files
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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