A Cross-Linguistic Study on the Reflection of Metadiscourse Markers in the Acknowledgements of the Iranian and Native English Dissertations

Autor/inn/en	Zakeri, Dina; Samimi, Fazlollah
Titel	A Cross-Linguistic Study on the Reflection of Metadiscourse Markers in the Acknowledgements of the Iranian and Native English Dissertations
Quelle	In: Language Teaching Research Quarterly, 26 (2021), S.52-64 (13 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Contrastive Linguistics; Doctoral Dissertations; Foreign Countries; Discourse Analysis; Writing (Composition); English (Second Language); Second Language Learning; Second Language Instruction; Interpersonal Relationship; Educational Attainment; Emotional Response; Cultural Background; Graduates; Doctoral Programs; Models; Native Speakers; Iran + Suchen Sie Ihr Suchwort? Linguistics; Kontrastive Linguistik; Doctoral dissertation; Doctoral thesis; Doctoral theses; Dissertationsschrift; Ausland; Diskursanalyse; Schreibübung; English as second language; English; Second Language; Englisch als Zweitsprache; Zweitsprachenerwerb; Fremdsprachenunterricht; Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung; Bildungsabschluss; Bildungsgut; Emotionales Verhalten; Graduate; Absolvent; Absolventin; Hochschulabsolvent; Hochschulabsolventin; Doktorandenprogramm; Analogiemodell; Muttersprachler
Abstract	The acknowledgement section in a thesis or dissertation expresses gratitude for the people who have helped the author in the process of conducting the research and writing the paper. The study sought to explore the extent to which metadiscourse markers have been employed in the dissertation acknowledgements. Excluding the rhetorical moves, emotional tones and cultural backgrounds, the research has primarily contrasted dissertation acknowledgements written by Iranian EFL doctoral graduates and English native speakers at an identical level. Hyland's metadiscourse model features and his four-tier main obligatory thanking move was applied to determine and interpret the features predominantly used in the thesis acknowledgements. A qualitative analysis of the results revealed that except for a meaningful difference in attitude markers, Iranian acknowledgements were consistent with the model and not any noticeable difference detected in using interactive metadiscourse features between Iranians and native speakers when writing their dissertation acknowledgements. (As Provided).
Anmerkungen	European Knowledge Development (EUROKD). e-mail: editorial@eurokd.com; Web site: https://www.eurokd.com/journal/jd/1
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01