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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,…mehr

Produktbeschreibung
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.


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Autorenporträt
Peter Crosthwaite is Associate Professor of Applied Linguistics at the University of Queensland, Australia. He is an expert in corpus linguistics, data-driven learning, and computer-assisted language learning. He has published more than 50 articles in top journals and is the editor-in-chief of Australian Review of Applied Linguistics (from 2024).