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Concordancing in writing pedagogy and CAF measures of writing

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Since the early twenty-first century, data-driven learning (DDL) approach that is a pedagogical application of corpus linguistics in classroom, has introduced a paradigm shift in EFL instruction. Research output, however, concerning this inductive, discovery-oriented learning is equivocal. This study, thus, explored the application of both native-speaker and local learner corpora, attesting the effect of direct vs. indirect DDL activities on 39 EFL learners’ development in CAF measures of writing. To this end, two experimental groups were taught through corpus consultation, but the control group received the conventional method of using a textbook, teacher explanations, and classroom exercises. Results obtained from three (two experimental and one control) groups of participants’ writing performances pre and post to seven sessions of paragraph writing confirmed the significant role of indirect DDL in writing more accurate and fluent paragraphs; however, no statistical evidence was found as regards syntactic complexity. Moreover, no significant effect of the direct DDL method in improving learners’ writing was observed, which is, thus, interpreted as suggestive that applying indirect DDL could be more effective than the direct DDL approach. It is concluded that classroom-based computers are not necessarily essential tools to implement the DDL pedagogy.

Keywords: CAF measures; corpus linguistics; data-driven learning; local learner corpora

Document Type: Research Article

Affiliations: TESOL, Faculty of Department of English and Literature, Urmia University, Urmia, Islamic Republic of Iran

Publication date: September 27, 2022

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