Insights into AI and Language Teaching and Learning

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· Language Teaching Insights Book 8 · Castledown Publishers
Ebook
200
Pages
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About this ebook

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*

1. Introduction

Part 1: Overview of the Issues

2. Historical Foundations of AI – Mathias Schulze

3. Challenges of AI in Language Education – Benjamin Luke Moorhouse, Yuwei Wan

4. AI Literacy – Antonie Alm

5. AI and 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 – Chun Lai, Zhan Shi

9. AI and Teaching Communities – Louise Ohashi

10. Teacher and AI Collaboration – Jaeho Jeon, Seongyong Lee

11. Teacher’s Practical Pedagogical Knowledge for AI – Zoe Handley

12. Professional Development and Learner Training for AI – Glenn Stockwell

Part 3: AI in Practice

13. Machine Translation – Sangmin Michelle Lee, Nayeon Kang

14. Generative AI and Chatbots – Lucas Kohnke, Curtis Green-Eneix

15. AI-integrated Language Learning Applications – Eneyire Godwin Omuya, Xin Zhao, Minna Rollins

16. Feedback and Automated Writing Evaluation (AWE) – Volker Hegelheimer, Inyoung Na, Mahdi Duris

Index

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