Name: Technology-Enhanced and Corpus Based Language Learning and Teaching
SKU: 1-0364-5242-5
Availability: InStock

Technology-Enhanced and Corpus Based Language Learning and Teaching

Innovations and Insights

Edited By: Lixun Wang, Qing Ma, Di Zou

£67.99

This pivotal resource explores how AI reshapes EFL education. It provides educators with practical, data-driven strategies from corpus linguistics to enhance student autonomy and learning outcomes, creating more adaptive and personalized teaching frameworks.

In an era where artificial intelligence (AI) reshapes educational landscapes, this book emerges as a pivotal resource for educators in the field of English as…

In an era where artificial intelligence (AI) reshapes educational landscapes, this book emerges as a pivotal resource for educators in the field of English as a Foreign Language (EFL). This comprehensive book investigates the integration of AI into EFL education, showcasing how it surpasses traditional teaching methods by enhancing student autonomy, motivation, and learning outcomes. Through empirical research and theoretical insights, it explores self-regulated learning frameworks and emphasizes the importance of forethought, performance, and self-reflection processes facilitated by AI tools. The text also dives deep into corpus linguistics, utilizing large datasets of authentic texts to unveil critical language patterns and trends that inform effective teaching and curriculum design, making learning materials more relevant and deepening students’ contextual understanding of language. Essential for educators, researchers, and policymakers, the book provides practical strategies for incorporating advanced technologies and data-driven insights into language teaching, equipping learners with the necessary skills to thrive in a digitalized global context and advocating for an educational shift towards more adaptive and personalized frameworks.

Lixun Wang is a Professor in the Department of Linguistics and Modern Language Studies at the Education University of Hong Kong. He has published 5 books and over 60 journal articles and book chapters in areas such as corpus linguistics, computer-assisted language learning, multilingual education, and English-Chinese translation studies. He is the co-author of Is English an Asian Language? (2021), and editor-in-chief of the book series Multilingual Education.

Qing Ma is an Associate Professor in the Department of Linguistics and Modern Language Studies at the Education University of Hong Kong. She has published 1 book and over 60 journal articles and book chapters in areas such as second language vocabulary acquisition, corpus linguistics, corpus-based language pedagogy, computer assisted language learning, and AI in language education. She is the associate editor for four journals.

Di Zou is an Associate Professor in the Department of English and Communication at the Hong Kong Polytechnic University. Her research interests include AI in language education, technology-enhanced and game-based language learning. She has published more than 150 papers in international journals. Stanford University listed her as one of the World’s Top 2% Most-cited Scientists for the last four years.

Zhoutiao Li, Lixun Wang, Qin Xie, Chang Zhang, Andrev Korzin, Svetlana Dmitrichenkova, Elena Shaleeva, Fengjunzi Wang, Pengbiao Zhang, Qing Ma, Shiya Huang, Jing Liu, Nuoya Fang, Xiao Qi Su, Tin San Tse, Guangju Han, Xian Liao, Zicheng Li, Syed Salman Ali Naqvi