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Beyond Concordance Lines: Corpora in language education [Kõva köide]

Edited by (Mary Immaculate College, University of Limerick), Edited by (Universidad de Murcia)
  • Formaat: Hardback, 255 pages, kaal: 615 g
  • Sari: Studies in Corpus Linguistics 102
  • Ilmumisaeg: 22-Dec-2021
  • Kirjastus: John Benjamins Publishing Co
  • ISBN-10: 9027209898
  • ISBN-13: 9789027209894
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  • Kõva köide
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  • Formaat: Hardback, 255 pages, kaal: 615 g
  • Sari: Studies in Corpus Linguistics 102
  • Ilmumisaeg: 22-Dec-2021
  • Kirjastus: John Benjamins Publishing Co
  • ISBN-10: 9027209898
  • ISBN-13: 9789027209894
Teised raamatud teemal:
"In over 30 years of data-driven learning (DDL) research, there has been a growing sophistication in the ways we collect, analyse and put data to use. This volume takes a three-fold perspective on DDL. It first looks at DDL and its role in informing language learning theory and how it might shed light on the language development process; secondly it addresses how DDL can help us characterise learner language and inform teaching accordingly, and thirdly it showcases practical applications for the use of DDL in classrooms. The contributors to this volume examine a variety of instructional settings and languages across the world. They reflect on theoretical, methodological and classroom implications using both novel and established language learning theories, natural language processing (NLP), longitudinal research designs and a variety of language learning targets. The present volume is an invitation from some of leading researchers in DDL to reflect on the research avenues that will define the field in the coming years"--

In over 30 years of data-driven learning (DDL) research, there has been a growing sophistication in the ways we collect, analyse, and put corpus data to use. This volume takes a three-fold perspective on DDL. It first looks at DDL and its role in informing language learning theory and how it might shed light on the language development process; secondly it addresses how DDL can help us characterise learner language and inform teaching accordingly, and thirdly it showcases practical applications for the use of DDL in classrooms. The contributors to this volume examine a variety of instructional settings and languages across the world. They reflect on theoretical, methodological and classroom implications using both novel and established language learning theories, natural language processing (NLP), longitudinal research designs, and a variety of language learning targets. The present volume is an invitation from some of the leading researchers in DDL to reflect on the research avenues that will define the field in the coming years.
Acknowledgements ix
Introduction 1(8)
Pascual Perez-Paredes
Geraldine Mark
Chapter 1 Research in data-driven learning
9(26)
Alex Boulton
Chapter 2 Data-driven learning, theories of learning and second language acquisition: In search of intersections
35(22)
Anne O'Keeffe
Chapter 3 Looking back on 25 years of TaLC: In conversation with Profs Mike McCarthy and Tony McEnery
57(18)
Michael McCarthy
Tony McEnery
Geraldine Mark
Pascual Perez-Paredes
Chapter 4 L2 development of -ing clauses: A longitudinal study of Norwegian learners
75(22)
Hildegunn Dirdal
Chapter 5 Collocations in learner English: A true-longitudinal perspective
97(24)
Rolf Kreyer
Chapter 6 Profiling learners through pragmatically and error annotated corpora
121(28)
Martin Weisser
Chapter 7 Exploring the impact of data-driven learning in extensive reading
149(28)
Gregory Hadley
Hiromi Hadley
Chapter 8 Data-driven learning: Using #LancsBox in academic collocation learning
177(30)
Tanjun Liu
Chapter 9 Scoledit: A tool to analyse learner writing and better understand the challenges of language education
207(24)
Claire Wolfarth
Claude Ponton
Catherine Brissaud
Chapter 10 CEFR-J × 28: Corpus-based multilingual pedagogical resources and e-learning systems for 28 languages
231(22)
Yukio Tono
Index 253