Textual organization of articles: A move analysis of research articles in aerospace engineering
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Since Swales' (1990) pioneer move analysis study, which analyzed the research article introductions, many have applied CARS model to different sections of articles from varying fields (i.e. natural sciences, social sciences, fundraising letters, and several other fields). The present study investigated the dominant move structures in full-length Aerospace Engineering Research Articles. For the ultimate aim of the study, a corpus of 8 articles from 4 core journals is collected. All the sentences are coded by using an adapted version of Kanoksilapatham's (2005) move structures for biochemistry research articles. The results of the present study showed that Aerospace Engineering research articles have a consistent move structure. The outcomes of this study can be implemented in the writing courses taught in aerospace engineering departments likewise by those who teach EAP/ESP. The findings also supply insights for future move analysis studies in different disciplines.
Author
İrfan Sarı
How to Cite
İrfan Sarı (Master Thesis). Textual organization of articles: A move analysis of research articles in aerospace engineering, 2014, Yeditepe University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Yeditepe University
- Studies on cyclodextrin complexation of a poorly water soluble anti-hyperlipidemic drug, tablet formulation and characterization(2021)
- Washington ambassadors in Turkish-US relations (1927-1960)(2023)
- Metamorphosis of female voices: A study of the violation of women in Greek and Roman mythology and feminist rewritings reclaiming the narrative(2022)
- Knowledge distillation with foundation models for image segmentation(2023)
- The relationship between machiavelism, grandiose and vulnerable narcissism, and loneliness among white collar workers(2023)
- Evaluation of drug-drug interaction checkers along clinically relevant adverse drug events in oncology and hematology pediatric patients(2023)