Description
Overview
Language educators often have varied levels of comfort and expertise with emerging technologies like Artificial Intelligence (AI). This creates a pedagogical gap that must be filled to ensure that educators can make informed choices about the technologies they integrate into their classrooms. The primary aim of “Insights into AI and Language Teaching” is to function as a comprehensive training guide for language educators interested in incorporating AI technologies into their teaching practice for foreign/second language education across a variety of language contexts—not just English as a Foreign Language (EFL), but also for the teaching of other foreign languages. This book aims to act as a bridge, guiding teachers from a basic understanding of AI to a level where they can confidently employ it as part of their teaching toolbox. As teachers have a long-lasting impact on how students view learning, adopt new technologies, and even how they perceive themselves, this book will, therefore, focus not only on technology but also on how teachers can be empowered to use AI in a way that enhances their influence and the positive impact they can have on their students.
Table of Contents
Front matter
Foreword – Jozef Colpaert 
1. Introduction – Gilbert Dizon, Antonie Alm, Yijen Wang
Part 1: Overview of the Issues
2. ICALL and AI: Seven Lessons from Seventy Years – Mathias Schulze
3. Challenges of AI in Language Education – Yuwei Wan, Benjamin Luke Moorhouse
4. Reconceptualising Literacy as Co-literacy in Language Education with AI – Antonie Alm
5. AI and Language Assessment – Peter Crosthwaite, Qing Ma
6. Ethical Considerations of AI – Gilbert Dizon
7. Research Methods and AI – Yijen Wang
Part 2: Establishing the Foundations of Good Practice
8. Motivational Issues in AI Integration – Zhan Shi, Chun Lai
9. AI and Teaching Communities – Louise Ohashi
10. Critical TPACK as a Foundation for Teaching with AI – Jaeho Jeon, Seongyong Lee
11. Teacher’s Practical Pedagogical Knowledge – Zoe Handley
12. Professional Development and Learner Training – Glenn Stockwell
Part 3: AI in Practice
13. Machine Translation and Writing – Sangmin-Michelle Lee, Nayeon Kang
14. Generative AI and Chatbots – Curtis Green-Eneix, Lucas Kohnke
15. AI-integrated Language Learning Applications – Eneyire Godwin Omuya, Xin Zhao, Minna Rollins
16. Feedback and Automated Writing Evaluation (AWE) – Inyoung Na, Mahdi Duris, Volker Hegelheimer
References
Index
