Description
This volume presents a diverse range of expertise and practical advice on corpus-assisted language learning, bridging the gap between corpus research and actual classroom practice.
Grounded in expert discussions and interviews, the book offers an extensive exploration into the intricacies of corpus-based language pedagogy, addressing its challenges, benefits, and potential drawbacks while demonstrating the power of data-driven learning (DDL) tools, including AntConc, WordSmith Tools, and CorpusMate. The book navigates the complexities of integrating DDL into mainstream educational systems, showcasing real-world applications for teaching. The authors bring together cutting-edge, international perspectives on this topic in dialogue with those using such techniques in their classroom practice.
Both a rigorous academic resource and a hands-on guide for practitioners, this book is recommended reading for educators, researchers, or anyone wanting to upskill themselves in learning to harness the power of data in language pedagogy in primary, secondary, tertiary, or other professional contexts.
Table of Contents
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?
