The tools and techniques of corpus linguistics have many uses in language pedagogy, most directly with language teachers and learners searching and using corpora themselves. This is often associated with work by Tim Johns who used the term Data-Driven Learning (DDL) back in 1990. This paper examines the growing body of empirical research in DDL…

To trace the evolution of research strands in published Computer Assisted Language Learning (CALL) papers over time, a corpus of 426 highly-cited papers in four major CALL journals ("ReCALL," "CALL," "LL&T," and "CALICO Journal") was compiled and coded using NVivo 12. All identified aspects of…

Corpora are not the preserve of corpus linguists. In education, learners and teachers can analyse almost any collection of text for linguistic or non-linguistic purposes where regular reading is not efficient or feasible. This paper describes students' first contact with corpora in a distance master's degree where they are required to build a…

This timeline looks at explicit uses of corpora in foreign or second language (L2) teaching and learning, i.e. what happens when end-users explore corpus data, whether directly via concordancers or integrated into CALL programs, or indirectly with prepared printed materials. The underlying rationale is that such contact provides the massive…

This study applied systematic meta-analytic procedures to summarize findings from experimental and quasi-experimental investigations into the effectiveness of using the tools and techniques of corpus linguistics for second language learning or use, here referred to as data-driven learning (DDL). Analysis of 64 separate studies representing 88…

Corpora have multiple affordances, not least for use by teachers and learners of a foreign language (L2) in what has come to be known as "data-driven learning" or DDL. The corpus and concordance interface were originally conceived by and for linguists, so other users need to adopt the role of "language researcher" to make the most of them. Despite…

This paper investigates uses of corpora in language learning ("data-driven learning") through analysis of a 600K-word corpus of empirical research papers in the field. The corpus can tell us much--the authors and the countries the studies are conducted in, the types of publication, and so on. The corpus investigation itself starts with…

Despite considerable research interest, data-driven learning (DDL) has not become part of mainstream teaching practice. It may be that technical aspects are too daunting for teachers and students, but there seems to be no reason why DDL in its early stages should not eliminate the computer from the equation by using prepared materials on…

Computer corpora have many potential applications in teaching and learning languages, the most direct of which--when the learners explore a corpus themselves--has become known as data-driven learning (DDL). Despite considerable enthusiasm in the research community and interest in higher education, the approach has not made major inroads to…

The potential for corpora in language learning has attracted a significant amount of attention in recent years, including in the form of data-driven learning (DDL). Careful not to appear to over-promote the field, enthusiasts have urged caution in its application, in particular with regard to lower-level learners, and have argued that extensive…