Full Description
Discussions around Artificial Intelligence (AI) are
everywhere, and are therefore inevitably on the minds of teachers and materials
alike. But as many of us will freely admit, it's easy to feel confused,
overwhelmed, and even exasperated by the hype, the rapid new developments and
the explosion of information that we face. Integrating AI in the classroom offers
both significant opportunities and complex challenges, alongside nuanced
ethical considerations.
AI in ELT offers
a comprehensive, critical and practical guide for teachers navigating the
complex world of generative AI in education, especially in the context of
English language teaching. Whether you are new to AI or looking to deepen your
practice, this book equips you to make informed decisions that centre pedagogy,
equity and the learner's agency. It aims to ensure AI becomes a thoughtful
addition to your teaching that genuinely enhances, rather than undermines, the
quality and inclusivity of education.
In the first part of the book, the authors explain the
concept of AI and what it is and what it can refer to. They aim to provide a
clear and balanced view of the serious moral and ethical considerations in the
use of AI, as well as an overview of the implications of and potential for AI
in the ELT classroom. In part two, they give examples of real and practical
uses for AI in English teaching and learning, placing the emphasis on
establishing ethical guidelines, codes of conduct and having principled reasons
for the incorporation of AI into our teaching. Whether you are tech-savvy or
not, this book offers step-by-step plans to help you confidently bring AI into
your teaching practice, with no advanced technical knowledge required.
Contents
Introduction: The current state of AI in ELT
Part one: Identifying and understanding the challenges
Chapter
1: Inherent biases and assumptions in AI algorithms
Chapter
2: (Im)Precise output
Chapter
3: Environmental impact
Chapter
4: Varieties of English and multilingual representation
Chapter
5: Data privacy, safety and copyright
Chapter
6: Access and equity in AI deployment
Part two: Practical solutions and strategies
Chapter
7: Guidelines for responsible use
Chapter
8: AI literacy
Chapter 9
: Positive uses of AI
Chapter
10: Prompting
Chapter
11: AI-enhanced projects
Conclusion
Glossary and References
