Corpus Linguistics and Technology-Mediated Language Education in the AI Era

Corpus Linguistics and Technology-Mediated Language Education in the AI Era

Series Editors: Pascual Pérez-Paredes (Universidad de Murcia) & Qing (Angel) Ma (The Education University of Hong Kong)

Corpus Linguistics and Technology-Mediated Language Education in the AI Era is a research-driven series that brings together scholarly work at the crossroads of corpus linguistics, language education, and AI-supported pedagogy. The series highlights studies that draw on verifiable data, transparent procedures, and reproducible practices to examine how corpora and AI tools can strengthen teaching and learning across varied global settings. Volumes showcase approaches that combine corpus evidence with emerging technologies to support teacher awareness, learner metacognition, classroom practice and academic integrity. The series foregrounds multilingual and multimodal learning, accessibility, culturally responsive teaching, and equity concerns such as English-dominance and bias.

Committed to open access, this series promotes reusable datasets, shareable code and clear research workflows to support open knowledge. It also offers insights relevant to low-resource environments and diverse educational traditions. By bringing together leading scholars and innovative projects, the series provides a trusted platform for advancing responsible, ethical human–AI collaboration and for strengthening methodological rigour in applied linguistics.