2022
Frame markers in Master’s theses written by Czech university students in English (L2)
LAHODOVÁ VALIŠOVÁ, MarieZákladní údaje
Originální název
Frame markers in Master’s theses written by Czech university students in English (L2)
Autoři
Vydání
20th International AELFE Conference, Pisa, Italy, 14 - 15 September 2022, 2022
Další údaje
Jazyk
angličtina
Typ výsledku
Prezentace na konferencích
Obor
50301 Education, general; including training, pedagogy, didactics [and education systems]
Stát vydavatele
Itálie
Utajení
není předmětem státního či obchodního tajemství
Organizační jednotka
Pedagogická fakulta
Klíčová slova česky
metadiskurs; frame markers; korpusová analýza; žákovský korpus
Klíčová slova anglicky
metadiscourse; frame markers; corpus analysis; learner corpora
Příznaky
Mezinárodní význam
Změněno: 7. 12. 2022 13:03, Mgr. Marie Lahodová Vališová, Ph.D.
Anotace
V originále
Over the past two decades, metadiscourse has received considerable attention in EAP research. Metadiscourse markers in academic genres have been analysed primarily using Hyland’s taxonomy. However, as Hyland states, frame markers as part of interactional metadiscourse ‘seem to have gone relatively unnoticed’ (Hyland & Zoub, 2020). The role of frame markers is to structure the discourse, thus guiding the reader through the text and making the message of the discourse clearer and more comprehensible. Therefore, learning to use frame markers successfully is an important aspect of academic writing that university students need to master. This presentation investigates how Czech university students organise their discourse and guide their readers through their master’s theses written in English, i.e. what frame markers Czech university students employ in their academic discourse. The investigation is carried out on a corpus of master’s theses consisting of 48 theses (totalling one million words) in three disciplines – linguistics, methodology and literature. The theses were analysed using Hyland’s classification of frame markers, which was further extended based on the corpus data.
Návaznosti
| GA21-12150S, projekt VaV |
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