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Peter Crosthwaite - Data-Driven Learning for the Next Generation: Corpora and DDL for Pre-tertiary Learners

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Peter Crosthwaite Data-Driven Learning for the Next Generation: Corpora and DDL for Pre-tertiary Learners
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Despite advancements in and availability of corpus software in language classrooms facilitating data-driven learning (DDL), the use of such methods with pre-tertiary learners remains rare. This book specifically explores the affordances of DDL for younger learners, testing its viability with teachers and students at the primary and secondary years of schooling. It features eminent and up-and-coming researchers from Europe, Asia, and Australasia who seek to address best practice in implementing DDL with younger learners, while providing a wealth of empirical findings and practical DDL activities ready for use in the pre-tertiary classroom.

Divided into three parts, the volumes first section focuses on overcoming emerging challenges for DDL with younger learners, including where and how DDL can be integrated into pre-tertiary curricula, as well as potential barriers to this integration. It then considers new, cutting-edge innovations in corpora and corpus software for use with younger learners in the second section, before reporting on actual DDL studies performed with younger learners (and/or their teachers) at the primary and secondary levels of education.

This book will appeal to post-graduate students, academics and researchers with interests in corpus linguistics, second language acquisition, primary and secondary literacy education, and language and educational technologies.

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This book is an exciting thoughtful and wide-ranging collection of papers from - photo 1

This book is an exciting, thoughtful and wide-ranging collection of papers from some of the leaders in the area of DDL. It is an understatement to say that it is long overdue! Amazingly, almost three decades have passed since DDL emerged as a pedagogical approach in language teaching and, in all of that time, this is the first edited volume to curate work on the use of DDL specifically in the context of young learners. While the volume is very forward-looking in the context of ever-improving technology and availability of corpus data and tools, contributors do not shy away from the challenges that have prevailed over the years to limit the mainstreaming of DDL as a pedagogical practice. Authors, exploring primary and secondary school learning contexts, showcase the potential of DDL for young learners but they consistently point to the need for more research, better teacher development and more equitable access to technology in primary and secondary schools. This book is a fanfare to what DDL has to offer in the context of language teaching in primary and secondary schools and, for sure, it will inspire teachers and researchers to open up to the opportunities of DDL for young learners.

Dr Anne OKeeffe,MIC, University of Limerick, Ireland

This is a very timely collection of papers that showcase recent research on pedagogical corpus use in primary and secondary school settings. The book will no doubt serve as an invaluable resource for anyone who is curious about whether and how DDL can work with younger learners, and for anyone who is ready to be inspired by some of the leading teacher-researchers in the field. Highly recommended!

Ute Rmer,Associate Professor of Applied Linguistics, Georgia State University, USA

This interesting and timely collection of studies is an essential reading for anyone conducting research on Data-Driven Learning (DDL) or considering using this approach with young learners. Together, the authors of the chapters present an in-depth review of the relevant literature on DDL, explain its strengths and weaknesses, and discuss the conceptual barriers and technical difficulties that might need to be overcome before the approach can be successfully adopted in the classroom. The book also describes some innovative uses of mainstream and custom DDL tools as well as offering many practical suggestions for designing useful DDL activities. In short, it is an extremely valuable resource.

Laurence Anthony,Professor, Faculty of Science and Engineering, Waseda University, Japan

Data-Driven Learning for the Next Generation

Despite advancements in and availability of corpus software in language classrooms facilitating data-driven learning (DDL), the use of such methods with pre-tertiary learners remains rare. This book specifically explores the affordances of DDL for younger learners, testing its viability with teachers and students at the primary and secondary years of schooling. It features both eminent and up-and-coming researchers from Europe, Asia, and Australasia who seek to address best practice in implementing DDL with younger learners, while providing a wealth of empirical findings and practical DDL activities ready for use in the pre-tertiary classroom.

Divided into three parts, this volumes first section focuses on overcoming emerging challenges for DDL with younger learners, including where and how DDL can be integrated into pre-tertiary curricula, as well as potential barriers to this integration. It then considers new, cutting-edge innovations in corpora and corpus software for use with younger learners in the second section, before reporting on actual DDL studies performed with younger learners (and/or their teachers) at the primary and secondary levels of education.

This book will appeal to post-graduate students, academics, and researchers with interests in corpus linguistics, second language acquisition, primary and secondary literacy education, and language and educational technologies.

Peter Crosthwaite is Lecturer in Applied Linguistics at the School of Languages and Cultures, University of Queensland, Australia.

Data-Driven Learning for the Next Generation
Corpora and DDL for Pre-tertiary Learners

Edited by Peter Crosthwaite

Data-Driven Learning for the Next Generation Corpora and DDL for Pre-tertiary Learners - image 2

First published 2020

by Routledge

2 Park Square, Milton Park, Abingdon, Oxon OX14 4RN

and by Routledge

52 Vanderbilt Avenue, New York, NY 10017

Routledge is an imprint of the Taylor & Francis Group, an informa business

2020 selection and editorial matter, Peter Crosthwaite; individual chapters, the contributors

The right of Peter Crosthwaite to be identified as the author of the editorial material, and of the authors for their individual chapters, has been asserted in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988.

All rights reserved. No part of this book may be reprinted or reproduced or utilised in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers.

Trademark notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe.

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library

Library of Congress Cataloging-in-Publication Data

Names: Crosthwaite, Peter, editor.

Title: Data-driven learning for the next generation : corpora and DDL for pre-tertiary learners / edited by Peter Crosthwaite.

Description: London ; New York, NY : Routledge, 2020. | Includes bibliographical references and index.

Identifiers: LCCN 2019031345 (print) | LCCN 2019031346 (ebook) | ISBN 9781138388000 (Hardback) | ISBN 9781138388017 (Paperback) | ISBN 9780429425899 (eBook)

Subjects: LCSH: Corpora (Linguistics)Data processing. | Computational linguistics. | Language and languagesComputer-assisted instruction. | Second language acquisition.

Classification: LCC P128.C68 D38 2020 (print) | LCC P128.C68 (ebook) DDC 372.6dc23

LC record available at https://lccn.loc.gov/2019031345

LC ebook record available at https://lccn.loc.gov/2019031346

ISBN: 978-1-138-38800-0 (hbk)

ISBN: 978-1-138-38801-7 (pbk)

ISBN: 978-0-429-42589-9 (ebk)

Typeset in Bembo

by Apex CoVantage, LLC

Contents

Alex Boulton

Peter Crosthwaite

PART I
Overcoming emerging challenges for DDL with younger learners

Fanny Meunier

Oliver Wicher

Eva Schaeffer-Lacroix

PART II
Applying new DDL methods for younger learners

Pascual Prez-Paredes

Eri Hirata

Maristella Gatto

PART III
Infusing DDL into practice new empirical findings from younger learners

Pawe Szudarski

Peter Crosthwaite and Annita Stell

Sonia Di Vito

Vasiliki Papaioannou, Marina Mattheoudakis, and Eleni Agathopoulou

Trisevgeni Liontou

Peter Crosthwaite

As with any edited volume, this work would not be possible without the wonderful contributions produced by the team of researchers who answered the original call for chapters. As DDL with younger learners is such an under-researched area of applied linguistics, I have to confess that I had almost given up on the volume shortly after the call for chapters went out, as I received very few proposals initially. However, shortly before the deadline, the proposals started to arrive in earnest, and it finally looked as if we had a volume, much to my relief! I extend my sincere thanks not only to those whose chapters made it into the volume but also to those who showed initial interest. I hope the contributors continue to spread the word and produce more excellent studies in this area in the near future.

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