Beyond concordance lines corpora in language education

"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 she...

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Библиографическая информация
Соавтор: International Conference on Teaching and Language Corpora University of Cambridge
Другие авторы: Pérez-Paredes, Pascual, Mark, Geraldine
Формат: Материалы конференции Электронная книга
Язык:English
Публикация: Amsterdam ; Philadelphia John Benjamins Publishing Company, [2021]
Серии:Studies in corpus linguistics ; v. 102.
Предметы:
Online-ссылка:EBSCOhost
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Описание
Итог:"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"--
Примечание:Originally presented at the 13th TaLC conference, held between the 18th and the 21st of July, 2018 at the University of Cambridge.
Объем:1 online resource illustrations (chiefly color).
Библиография:Includes bibliographical references and index.
ISBN:9789027258496
902725849X
ISSN:1388-0373 ;