Akademik Veri Yönetim Sistemi
International Conference on Language Education, Literature and Linguistics, Kütahya, Türkiye, 24 - 26 Haziran 2022
Previous research studies indicate that developing writing skills is a challenging process
particularly for EFL learners. Academic writing puts an additional burden on the learners’ shoulders
as it requires some further advanced skills, such as genre awareness, lexical flexibility, and complex
syntactic knowledge, to name but a few. Corpus Linguistic Approaches to language analysis has the
potential to guide L2 writers in their attempt to follow the academic genre and learn the required writing
skills inductively. Corpora can be exploited in three stages: observation of concordance evidence,
classification of salient features and generalization of rules. Learners as the discoverers of language
in this approach can benefit from the versatile features of corpora and learn from the patterns they
observe through the concordance lines. In the light of the given approach and its potential to create
more autonomous EFL learners and more reliable assessment opportunities for instructors, this study
attempts to (a) explain what data-driven learning is and how it may shape the learning experience
in an EFL context, (b) elaborate on how corpora can guide EFL learners in academic writing, and (c)
provide some hands-on uses of corpora in teaching and assessing (academic) writing.
Keywords: Academic Writing, data-driven Learning, Corpus Linguistics, learner corpus, Corpusassisted
Writing Assessment