Data-driven learning: A student-centered technique for language learning

Abstract

The use of student-centered methods in language teaching can be an alternative to be exerted by teachers in language classrooms. Such methods can create an atmosphere of excitement for the students because they themselves are supposed to discover word meanings, grammatical patterns, parts of speech and other aspects of language through receiving small tips from the teacher. In the present paper, data-driven learning (DDL) has been introduced as a student-centered technique in which samples of authentic language are taken from linguistic corpora to be presented to language learners for improving language proficiency and then different aspects of this technique have been elaborated on in order to make language teachers and students aware of its features and usefulness. © 2012 ACADEMY PUBLISHER Manufactured in Finland.