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Data-driven Learning in and out of the Language Classroom - Pascual Pérez-Paredes, Alex Boulton

Data-driven Learning in and out of the Language Classroom

Buch | Softcover
100 Seiten
2025
Cambridge University Press (Verlag)
978-1-009-51143-8 (ISBN)
CHF 29,65 inkl. MwSt
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, the use of corpora emerges as a prime resource, developing language awareness, noticing skills and critical thinking for learning.
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.

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.

Erscheinungsdatum
Reihe/Serie Elements in Language Teaching
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Gewicht 161 g
Themenwelt Schulbuch / Wörterbuch Wörterbuch / Fremdsprachen
Geisteswissenschaften Sprach- / Literaturwissenschaft Sprachwissenschaft
Technik
ISBN-10 1-009-51143-2 / 1009511432
ISBN-13 978-1-009-51143-8 / 9781009511438
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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