Data-driven Learning in and out of the Language Classroom

by Pascual Pérez-Paredes, Alex Boulton

Overview

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from authentic texts for inductive learning of lexicogrammar. This Element is a practical guide for language teachers and graduate students intending to explore or upgrade their use of corpora in the language classroom and beyond. In today's context, where advances in computing and information processing dominate our social and professional interactions, the use of corpora emerges as a prime resource with which to approach data-driven language learning and teaching, developing language awareness, noticing skills and critical thinking for learning that generative AI cannot do for you.

Product Details

ISBN-13:	9781009511438
Publisher:	Cambridge University Press
Publication date:	06/12/2025
Series:	Elements in Language Teaching
Pages:	100
Product dimensions:	6.00(w) x 1.25(h) x 9.00(d)

Table of Contents

1. What is data-driven learning; 2. A brief survey of existing corpora and applications; 3. Pedagogic corpora and younger learners; 4. Data-driven learning at university the case of academic writing; 5. Data-driven learning in the wild fostering learner autonomy; 6. Take-away messages and future developments; Glossary; References.