Pascual Pérez-Paredes

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.

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.

This book serves as an introduction to corpus linguistics (CL) for graduate students and researchers in Applied Linguistics, especially in the domains of language learning and teaching. It provides a structured and accessible approach for those new to CL, equipping readers with the foundational concepts and tools required to analyse language corpora autonomously in research related to language learning and teaching. It also contextualises CL’s development over the past four decades, offering critical reflections on its practices and applications. Each chapter integrates recommended readings and highlights central concepts, guiding readers in applying CL methods to their own studies. By the end of the book, readers will have gained the knowledge and practical expertise needed to apply corpus linguistics methods in conducting robust and innovative research.

This book serves as an introduction to corpus linguistics (CL) for graduate students and researchers in Applied Linguistics, especially in the domains of language learning and teaching. It provides a structured and accessible approach for those new to CL, equipping readers with the foundational concepts and tools required to analyse language corpora autonomously in research related to language learning and teaching. It also contextualises CL’s development over the past four decades, offering critical reflections on its practices and applications. Each chapter integrates recommended readings and highlights central concepts, guiding readers in applying CL methods to their own studies. By the end of the book, readers will have gained the knowledge and practical expertise needed to apply corpus linguistics methods in conducting robust and innovative research.

Corpus Linguistics for Education provides a practical and comprehensive introduction to the use of corpus research-methods in the field of education. Taking a hands-on approach to showcase the applications of corpora in the exploration of educationally relevant topics, this book:• covers 18 key skills including corpus building, the role of frequency, different corpus methods, transcription and annotation;• demonstrates the use of available corpora and desktop and online corpus analysis tools to conduct original analyses;• features case studies and step-by-step guides within each chapter;• emphasises the use of interview data in research projects.Corpus Linguistics for Education is an essential guide for students and researchers studying or conducting their own corpus-based research in education.

Corpus Linguistics for Education provides a practical and comprehensive introduction to the use of corpus research-methods in the field of education. Taking a hands-on approach to showcase the applications of corpora in the exploration of educationally relevant topics, this book:• covers 18 key skills including corpus building, the role of frequency, different corpus methods, transcription and annotation;• demonstrates the use of available corpora and desktop and online corpus analysis tools to conduct original analyses;• features case studies and step-by-step guides within each chapter;• emphasises the use of interview data in research projects.Corpus Linguistics for Education is an essential guide for students and researchers studying or conducting their own corpus-based research in education.

En este trabajo se aborda el pensamiento computacional desde la perspectiva de la ense anza y del aprendizaje en todos los niveles educativos, pero b sicamente en los niveles anteriores a la universidad. En l se plantea que el pensamiento computacional constituye una competencia clave en la nueva alfabetizaci n digital. De manera que las habilidades que son propias de los programadores deben ser desarrolladas desde las primeras etapas y son igualmente tiles para la resoluci n de problemas en otros mbitos de la vida profesional y personal. Son habilidades que permiten a los individuos desarrollar las funciones de comunicaci n, representaci n y proceso de la informaci n propios de la nueva cultura, la de la Sociedad del Conocimiento. Los contenidos tratan de lenguajes de patrones espec ficos del pensamiento computacional, de las componentes que, seg n el an lisis que se hace, lo constituyen y lo definen, de experiencias concretas de implementaci n en curr culos oficiales. Y por ltimo del pensamiento computacional en las primeras etapas de desarrollo de los ni os, sin ordenadores y sin pantallas: El pensamiento computacional desenchufado.Este libro es til para profesores, t cnicos en dise o y organizaci n educativa e investigadores en computaci n, educaci n y teor a del aprendizaje entre otros.