Should We Use It in Our Classrooms: An Analysis of Data-Driven Learning Research

Kai Bao


Corpus linguistics has become increasingly important to both language researchers and teachers over the past three decades. As a popular practice of corpus linguistics, Data-Driven Learning (DDL) sees a rapidly growing body of research as well as instruction in the field. There is, however, a lack of comprehensive literature reviews that summarize the effectiveness, learners’ perception, as well as factors affecting the success of DDL to guide its practices. In response, this study analyzes previous DDL research to show the feasibility of the activities in EFL classrooms. For the purpose, we collected and analyzed relevant research articles from 19 journals in the discipline of applied linguistics. Our analysis revealed that while DDL has been proved generally effective in improving learners’ target language proficiency with respect to a variety of linguistic aspects, a set of its drawbacks have been elicited from the learners. The results indicate the instructors’ need to take into account the learner as well as technique background before the introduction of DDL into their classrooms.

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Copyright (c) 2021 Kai Bao

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English Linguistics Research
ISSN 1927-6028 (Print)   ISSN 1927-6036 (Online)

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