Corpora for Language Learning (eBook, PDF)

Bridging the Research-Practice Divide
Redaktion: Crosthwaite, Peter

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 288
• Erscheinungstermin: 23. April 2024
• Englisch
• ISBN-13: 9781040009260
• Artikelnr.: 70049215

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).

Inhaltsangabe

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?