Description
| Summary: | "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"--
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| Item Description: | Originally presented at the 13th TaLC conference, held between the 18th and the 21st of July, 2018 at the University of Cambridge. |
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| Physical Description: | 1 online resource : illustrations (chiefly color). |
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| Bibliography: | Includes bibliographical references and index. |
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| ISBN: | 9789027258496
902725849X |
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| ISSN: | 1388-0373 ; |
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| Source of Description, Etc. Note: | Description based on online resource; title from digital title page (viewed on December 15, 2021). |
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