How can data-driven learning be used in language teaching?

Abstract

Data-driven learning (DDL) consists in using the tools and techniques of corpus linguistics for pedagogical purposes. After having dealt with the corpora and the software, the people now turn to the DDL approach proper, and show how corpora can be used in language teaching. At the teacher-led end, the people find relatively controlled tasks such as cloze tests and fill-in exercises. Similarly, since it is precisely one of the goals of DDL to develop a more autonomous learning style, the teacher should avoid conformity as far as possible and agree to let the students approach corpora in the way they feel most comfortable with. The major problems and limitations of DDL are examined in this chapter. If the people consider the teacher's point of view, one reason for not doing DDL might simply be that the teacher does not know enough about corpora and the possibility of using corpora in the classroom.

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