Collaborative AI
Artificial Intelligence, Expertise, and Pedagogy in CALL Research and Practice
Joshua M. Paiz [+–]
George Washington University
Joshua M. Paiz is a Teaching Assistant Professor in the English for Academic Purposes Program at George Washington University.
Collaborative AI: Artificial Intelligence, Expertise, and Pedagogy in CALL Research and Practice aims to equip ELT practitioners with critical tools and professional practices for thriving in an AI-rich world. The book offers insights into integrating AI into the classroom in pedagogically responsible ways that enhance student learning and success.
The primary focus is helping ELT practitioners understand AI’s potential and pedagogical role, illustrating how it can be combined with their expertise for effective teaching across diverse contexts. This guide discusses AI-driven tools and strategies, showcasing innovative ways to augment classroom experiences while maintaining the essential human touch.
In addition to instructional focus, Collaborative AI explores the development of
classroom and institutional policies surrounding AI implementation. Addressing professional anxieties, the book provides practical advice for creating responsible, ethical, and inclusive guidelines that ensure the effective integration of AI technologies into ELT practices.
Bridging the gap between technology and pedagogy, Collaborative AI empowers educators and administrators to harness AI’s benefits while maintaining a student-centered approach, fostering an environment where human expertise and artificial intelligence harmoniously shape the future of English language education.
Table of Contents
Chapter 1
This introductory chapter provides an accessible overview of artificial intelligence (AI) and its impact on education, focusing on English Language Teaching (ELT). Aimed at educators and administrators with varying levels of AI knowledge, the chapter demystifies AI concepts and terminology, setting the stage for the rest of the book by pulling back the curtain on the modern magic trick that is modern AI, like ChatGPT and GrammarlyGO. By establishing the importance of AI in modern education, the chapter highlights the significance of exploring AI's potential in shaping the future of ELT.
Chapter 2
Chapter 2 delves into the role of AI in education, with a focus on English Language Teaching. The chapter offers a brief history of AI in education, discussing key milestones and developments. This chapter will first focus on the subtle rise of AI for assessment and classroom management before discussing the gradual growth of support AI, like Grammarly, and the advent of powerful generative models like ChatGPT and Dall-e, which are posed to kickstart a revolution for the workplace and private life. It also introduces various AI-driven tools and applications specifically designed for ELT, examining their benefits and limitations. By exploring the emergence of AI in the educational landscape, this chapter sets the foundation for understanding AI’s potential to enhance ELT practices and learning experiences.
Chapter 3
Chapter 3 explores the practical applications of AI in language learning and teaching, focusing on English Language Teaching. The chapter discusses how AI-enhanced tools, such as Duolingo for personalized language learning and Grammarly for grammar and writing assistance, can improve discreet language skills like vocabulary acquisition and grammatical competence. It also addresses how to adapt AI tools to accommodate diverse learner needs and preferences, ensuring inclusivity and effectiveness in language learning, helping learners to acquire more complex skills like intercultural competence and critical metacognition. By providing specific examples, the chapter illustrates the potential of AI to transform the ELT landscape and create engaging, differentiated learning experiences.
Chapter 4
Chapter 4 delves into the pedagogical approaches for effectively integrating AI into English Language Teaching. It emphasizes the importance of combining human expertise with AI support, ensuring a student-centered learning experience. For instance, the chapter explores the use of the flipped classroom model, where AI tools like Quizlet can be employed for pre-class vocabulary learning, while in-class time is dedicated to interactive, collaborative activities led by the teacher. This chapter will demonstrate how pedagogically sound AI integration can enhance teaching practices and improve student outcomes in various ELT contexts.
Chapter 5
Chapter 5 focuses on the role of AI in assessment and feedback within the English Language Teaching context. It highlights AI-driven assessment tools and techniques, such as automated essay scoring systems and adaptive quizzes, that can provide timely, personalized feedback to students. The chapter also explores how AI can enhance the traditional feedback process by assisting teachers in identifying areas for improvement, enabling more targeted and practical guidance, and helping to manage teacher workloads in humane ways that support teacher well-being and student learning. By leveraging AI in assessment and feedback, educators can better support student learning and progress throughout the language acquisition journey.
Chapter 6
Chapter 6 addresses the ethical and inclusive considerations of implementing AI in English Language Teaching. It highlights data privacy and security concerns, exemplified by the need to protect students’ personal information when using AI-driven tools. The chapter also emphasizes the importance of promoting digital equity and inclusivity, discussing strategies like incorporating accessible AI technologies for learners with disabilities, and ensuring that AI tools are culturally sensitive and unbiased. This chapter will conclude by discussing AI-related issues in academic integrity as they relate to student success. By tackling these concerns, educators can create a responsible and inclusive learning environment that harnesses the benefits of AI without compromising ethical standards or student learning, and in ways that acknowledge the real threat to academic integrity posed by the unethical, uncritical deployment of AI assistance by learners.
Chapter 7
Chapter 7 extends the discussion from Chapter 6 by moving out of the classroom and examining AI implementation and policy at the institutional level. It provides guidelines for responsible and effective AI integration, considering factors such as privacy, ethical considerations, and pedagogical best practices. The chapter also addresses professional anxieties and concerns that may arise during AI adoption, offering practical advice and strategies for managing the transition. By establishing clear policies and guidelines, educators and administrators can ensure that AI technologies are effectively and responsibly integrated into ELT practices, fostering a collaborative and supportive learning environment.
Chapter 8
Chapter 8 focuses on the importance of teacher professional development in the context of AI integration in English Language Teaching. It outlines strategies for building AI literacy and competence among educators, such as participating in workshops, webinars, and online courses. The chapter also emphasizes the need for continuous professional growth, as the AI landscape evolves rapidly, and encourages educators to stay up-to-date with the latest advancements and best practices. By prioritizing professional development, teachers can effectively leverage AI tools in the classroom, ensuring that their teaching practices remain relevant and aligned with current educational trends.
Chapter 9
In the final chapter, Chapter 9 looks to the future of English Language Teaching in an AI-driven world. It discusses emerging trends and technologies, such as advanced natural language processing and immersive virtual reality environments, and their potential impact on ELT. For example, increasingly powerful natural language processing (NLP) applications could lead to AI-powered chatbots that tailor their communicative style to the ongoing inputs of the learner, tailoring both response content, tone, and style to their needs, further contributing to efforts to provide differentiated instruction. This chapter also highlights the enduring importance of human expertise and emphasizes the need for a collaborative approach, where educators and AI work together to create meaningful learning experiences. By envisioning a future where AI and human expertise complement each other, the chapter concludes with an optimistic outlook on the potential of AI to transform and enhance the field of English Language Teaching.
ISBN-13 (Hardback)
9781000000000
Price (Hardback)
£75.00 / $100.00
ISBN-13 (Paperback)
9781000000000
Price (Paperback)
£24.95 / $32.00
ISBN (eBook)
9781000000000
Price (eBook)
Individual
£24.95 / $32.00
Institutional
£75.00 / $100.00
£24.95 / $32.00
Institutional
£75.00 / $100.00
Publication
01/06/2026
Pages
224
Size
234 x 156mm
Readership
English language teachers, teacher trainers, researchers, policy makers
Illustration
15-30 figures
