The Routledge Handbook of Language Learning and Technology

The Routledge Handbook of Language Learning and Technology is a comprehensive and accessible resource for teachers, teacher educators, and students navigating the rapid evolution of technology in language education. Now in its second edition, this fully updated volume reflects the accelerated integration of digital tools into pedagogical practices, particularly in the wake of the Covid-19 pandemic.

Building on its original focus―historical and theoretical contexts, interactive and collaborative technologies, corpora and data- driven learning, and computer gaming―the handbook introduces new chapters that explore teacher development and the cultural dimensions of language learning. Emerging voices in the field offer insightful perspectives on cutting-edge technologies such as Artificial Intelligence, advancing a balanced and accessible approach useful to students with a language background who are looking to further their education in the sector. Farr and Murray equip readers with the requisites to make informed pedagogical decisions in both academic and professional settings.

This handbook is essential reference for all students from undergraduate to PhD level, teachers and researchers of Language Learning and TESOL, and professionals in the areas of Applied Linguistics, Education, and Media Studies.

Fiona Farr is Full Professor of Applied Linguistics and TESOL in the School of Modern Languages and Applied Linguistics at the University of Limerick, Ireland. Her key areas of expertise are teacher education, reflective practice, continuous professional development, applied corpus linguistics, and technology-enhanced language learning.

Liam Murray is Professor of French and Applied Linguistics and current Head of the School of Modern Languages and Applied Linguistics at the University of Limerick, Ireland. He has been researching, teaching and publishing in many areas of CALL since 1991, from blogs and gamification to distraction, Critical Digital Literacies, CALL in the Wild and GenAI.