Corpus linguistics for language teaching and learning: A research agenda

Abstract

This agenda identifies future research trajectories for the corpus revolution, proposing five specific research tasks designed to explore and advance the application of corpus linguistics in language education. These tasks focus on: (1) contrastive data-driven learning, (2) the development of corpus research for informing national language curricula, (3) the use of artificial intelligence for corpus informed language teaching and learning, (4) the reconsideration of the design and development of pedagogical corpora, and (5) the need for stakeholder engagement with corpus research design. Addressing these tasks requires a unified and collaborative effort as they sit at a number of key intersections in corpus applications to language pedagogy. We ask scholars executing them to engage in broad and cooperative research to meet the evolving needs of learners globally, to examine the potential of corpus linguistics for addressing new challenges in language education, and to influence and shape future directions in applied linguistics.