This article explores two under-researched types of corpora for use in data-driven learning (DDL): L2 corpora (i.e. in a second or foreign language) and multimodal corpora. It first outlines the development of FLEURON, a dedicated DDL platform designed to support interactional competence in… read more
Data-driven learning (DDL) typically involves language learners consulting corpus data, either directly or via prepared materials, to answer questions about language. The approach has been mooted since the beginning of the modern era of corpus linguistics and has come to be associated with work… read more
Data-driven learning typically involves the use of dedicated concordancers to explore linguistic corpora, which may require significant training if the technology is not to be an obstacle for teacher and learner alike. One possibility is to begin not with corpus or concordancer, but to find… read more
Corpus linguistics is commonly concerned with language description, but the tools and techniques can also be used by language learners themselves in what has come to be known as data-driven learning or DDL (Johns & King 1991). This paper reviews 20 studies representing empirical evaluations of… read more