This volume presents a diverse range of expertise and practical advice on corpus-assisted language learning, teaching, testing, and insights to bridge the gap between corpus research and actual classroom practice.

1. Bridging the research-practice divide for data-driven learning: Introduction to the volume 2. Addressing the challenges of data-driven learning through corpus tool design - In conversation with Laurence Anthony 3. Exploring multimodal corpora in the classroom from a multidimensional perspective 4. Data-driven learning: In conversation with Alex Boulton 5. Data-driven learning, second language acquisition and languages other than English: connecting the dots 6. DDL Support for academic English collocations 7. Extensive reading and viewing for vocabulary growth: Corpus insights 8. Transforming language teaching with corpora - Bridging research and practice 9. Practical use of corpora in teaching argumentation 10. On the perils of linguistically opaque measures and methods: Toward increased transparency and linguistic interpretability 11. Why we need open science and open education to bridge the corpus research-practice gap 12. Corpora in L2 vocabulary assessment 13. Corpus-based language pedagogy for pre-service and in-service teachers: Theory, practice, and research 14. The applications of data-driven learning, corpus-based phraseology and phraseography in the development of collocational and phraseological competence 15. Data-driven learning in informal contexts? Embracing broad data-driven learning (BDDL) research 16. Using data-driven learning approach to teach English for Academic Purposes and improve higher education internationalisation 17. Exploring the interface between corpus linguistics and English for Academic Purposes: What, how and why?