Multiple Affordances of Language Corpora for Data-driven Learning

Editors
| University of Warsaw
| ATILF-CNRS / University of Lorraine
HardboundAvailable
ISBN 9789027203779 | EUR 99.00 | USD 149.00
 
e-Book
ISBN 9789027268716 | EUR 99.00 | USD 149.00
 
In recent years, corpora have found their way into language instruction, albeit often indirectly, through their role in syllabus and course design and in the production of teaching materials and other resources. An alternative and more innovative use is for teachers and students alike to explore corpus data directly as part of the learning process. This volume addresses this latter application of corpora by providing research insights firmly based in the classroom context and reporting on several state-of-the-art projects around the world where learners have direct access to corpus resources and tools and utilize them to improve their control of the language systems and skills or their professional expertise as translators. Its aim is to present recent advances in data-driven learning, addressing issues involving different types of corpora, for different learner profiles, in different ways for different purposes, and using a variety of different research methodologies and perspectives.
[Studies in Corpus Linguistics, 69]  2015.  vii, 312 pp.
Publishing status: Available
Table of Contents
“Overall, this volume makes a strong contribution to the growing body of research on Data-Driven Learning (DDL)...it could be said that each article, while fililng one gap in the DDL literarure, simultaneously opens another avenue of exploration in the application of DDL to a wider range of language learning contexts. In sum, this volume serves as a substantial step in identifying all the affordances DDL can have for the learners we hope to serve.”
“The volume can be considered as an essential resource for those already well-versed in DDL [Data Driven Learning]. Perhaps more importantly, however, the volume acts as an accessible guide for educational administrators, teachers and students who are thinking about incorporating a data-driven approach to teaching and learning, and who need the know-how, practical applications and most of all, encouragement to start experimenting with DDL and language corpora more generally.”
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Callies, Marcus & Tugba Simsek
2020. Friginal, E. (2018). Corpus Linguistics for English Teachers: New Tools, Online Resources, and Classroom Activities . International Journal of Corpus Linguistics 25:2  pp. 230 ff. Crossref logo
Crosthwaite, Peter, Lillian L.C. Wong & Joyce Cheung
2019. Characterising postgraduate students’ corpus query and usage patterns for disciplinary data-driven learning. ReCALL 31:3  pp. 255 ff. Crossref logo
Liou, Hsien-Chin & Tzu-Wei Yang
2020.  In New Technological Applications for Foreign and Second Language Learning and Teaching [Advances in Educational Technologies and Instructional Design, ],  pp. 282 ff. Crossref logo
Soto-Almela, Jorge & Gema Alcaraz-Mármol
2021.  In Mediating Specialized Knowledge and L2 Abilities,  pp. 209 ff. Crossref logo
Tyler, Andrea E. & Lourdes Ortega
2018.  In Usage-inspired L2 Instruction [Language Learning & Language Teaching, 49],  pp. 3 ff. Crossref logo
Wu, Shaoqun, Alannah Fitzgerald, Ian H. Witten & Alex Yu
2018.  In Handbook of Research on Integrating Technology Into Contemporary Language Learning and Teaching [Advances in Educational Technologies and Instructional Design, ],  pp. 512 ff. Crossref logo
Wu, Shaoqun, Alannah Fitzgerald, Alex Yu & Ian Witten
2019. Developing and Evaluating a Learner-Friendly Collocation System With User Query Data. International Journal of Computer-Assisted Language Learning and Teaching 9:2  pp. 53 ff. Crossref logo
Wu, Shaoqun, Liang Li, Ian Witten & Alex Yu
2018. A Systematic Review of Using Discipline-Specific Corpora for Lexico-Grammatical Pattern Learning. International Journal of Computer-Assisted Language Learning and Teaching 8:1  pp. 31 ff. Crossref logo
Wu, Shaoqun, Liang Li, Ian H. Witten & Alex Yu
2016. Constructing a Collocation Learning System from the Wikipedia Corpus. International Journal of Computer-Assisted Language Learning and Teaching 6:3  pp. 18 ff. Crossref logo
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Yunus, Kamariah
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This list is based on CrossRef data as of 14 may 2022. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects & Metadata
BIC Subject: CJ – Language teaching & learning (other than ELT)
BISAC Subject: FOR000000 – FOREIGN LANGUAGE STUDY / General
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2014049652 | Marc record