Teachers Still Matter

An insightful new publication

AI is not going to replace humans, but humans with AI are going to replace humans without AI

-       Kevin Scott

 

My last blog entry (see here) carried an announcement of a forthcoming publication titled Teachers Still Matter: Foreign Language Teaching in the Age of AI and an extensive guest-written article related to it by its author Prisha Kohli. I am delighted to say that the book has since been published (see picture above) and is now available for purchase online from the following two outlets:

1.     Notion Press (publishers)

https://direct.notionpress.com/in/read/teachers-still-matter/

2.     Amazon (India)

https://www.amazon.in/dp/B0H29RPC9W/

It is also expected to be available soon at other outlets such as Flipkart.

Though the book is related to the teaching of foreign languages in the age of AI (the author is a teacher of German language and litterateur), it is highly relevant to all teachers in all disciplines as well.  This has been the rationale behind featuring it in my blog.

In a personal note, this is what Prisha has to say about her book:

After spending months researching and writing about AI, pedagogy, assessment, language learning, and the future of classrooms… I can confirm one thing:

Teachers still need coffee more than AI. ☕

Very excited to share that my book is officially launched!

Teachers Still Matter: Foreign Language Teaching in the Age of AI

This book began as one teacher asking:

“If AI can generate language instantly… what happens to language teachers?”

Somewhere between lesson plans, research papers, classroom stories, and late-night writing sessions, this book happened. And honestly, writing a book taught me almost as much as teaching itself.

If you’re a foreign language teacher, trainer, educator, language learner, or simply curious about AI and foreign language education — this book is for you.

Readers can expect a balanced, practical, and deeply human perspective on artificial intelligence in foreign language teaching. The book explains complex AI concepts in simple language that educators can immediately connect to classroom realities. It offers concrete frameworks to help teachers integrate AI without losing pedagogical control. Teachers will discover ready-to-use classroom strategies, prompts, activities, and assessment ideas from A1 to C2 levels. The book also explores major concerns such as AI-generated writing, academic integrity, over-scaffolding, and the illusion of learning. Readers will gain clarity on where AI can genuinely support teaching and where human interaction must remain central. The chapters connect established language learning theories with modern AI-supported classrooms in a practical way. Educators can expect reflection questions, classroom scenarios, and implementation templates that encourage critical thinking about technology use. Rather than promoting AI blindly or rejecting it completely, the book presents a thoughtful middle-ground approach rooted in pedagogy. Above all, the book reassures teachers that their role is not disappearing—in fact, it has become more important than ever.

Here is a concise summary of its contents:

Chapter 1 – How AI Walked into our Classrooms

AI entered classrooms quietly through everyday teaching tasks like worksheets, grammar support, and lesson preparation. The chapter explores teachers’ mixed feelings of curiosity, uncertainty, and cautious optimism about AI in education. It introduces a Model, IAMPC - Intentional AI-Mediated Pedagogical Control Model, which keeps teachers at the centre of AI-supported pedagogy. Ultimately, the chapter argues that AI can support teaching, but meaningful language learning still depends on human interaction and teacher judgment.

Chapter 2 – Understanding AI Without Technical Expertise

This chapter explains AI in simple, teacher-friendly language without requiring technical knowledge or coding expertise. It clarifies that AI works through pattern recognition and prediction, not real understanding or human thinking. Philosophical ideas from thinkers like Paulo Freire, Chomsky, and John Searle are used to show the limits of AI-generated language. The chapter reassures educators that pedagogy, empathy, and professional judgment matter far more than technological expertise.

Chapter 3 – Language Learning Theory Meets Generative AI

The chapter connects major language learning theories with the realities of AI-supported classrooms. It examines how theories like CLT, Sociocultural Theory, ZPD, and cognitive load theory still remain relevant in the age of AI. AI is presented as a scaffold that can support learning only when guided by clear pedagogical intentions. The chapter emphasizes that language acquisition still depends on interaction, negotiation of meaning, and human communication.

Chapter 4 – Teacher-Led Design with AI Support

This chapter demonstrates how teachers can intentionally design lessons where AI remains a support tool rather than the driver of instruction. It introduces practical frameworks and planning strategies for balancing efficiency with meaningful learning. Teachers learn how to create AI-supported activities while protecting learner independence and classroom interaction. The central message is that strong pedagogy must always lead technology integration.

Chapter 5 – Vocabulary and Grammar Learning in AI-Supported Classrooms

The chapter explores how AI can support vocabulary and grammar practice through personalization, examples, and feedback. It also warns against overdependence on AI-generated corrections and explanations that reduce productive struggle. Teachers are encouraged to use AI selectively to reinforce noticing, retrieval, and communicative use of language. The chapter argues that grammar and vocabulary become meaningful only when learners actively use them in context.

Chapter 6 – The Illusion of Understanding

This chapter examines how AI can create the appearance of comprehension without genuine learning taking place. Instant summaries, translations, and explanations may reduce the cognitive effort necessary for deep understanding. The chapter proposes reading models and classroom strategies that preserve inquiry, interpretation, and critical thinking. It reminds teachers that confusion, ambiguity, and struggle are essential parts of language learning.

Chapter 7 – The Silence of Perfect Writing

The chapter investigates the growing problem of polished AI-generated writing that lacks learner ownership and authentic voice. It discusses how fluent texts can hide weak linguistic control and limited understanding. Teachers are encouraged to focus more on process, drafts, revisions, and oral defence rather than only final products. The chapter ultimately reframes writing as a developmental and reflective process rather than a perfectly generated outcome.

Chapter 8 – Teaching Speaking and Interaction in AI-Supported Classrooms

This chapter focuses on speaking skills, conversation practice, and interaction in the presence of AI tools. While AI can provide rehearsal opportunities and simulated dialogue practice, real communicative competence still develops through live human interaction. The chapter highlights repair sequences, spontaneity, turn-taking, and negotiation of meaning as central to language learning. Teachers are positioned as facilitators of authentic communication rather than mere providers of language input.

Chapter 9 – Exams, Evidence, and Learning in the Age of AI

The chapter rethinks assessment practices in classrooms where AI-generated work has become increasingly common. It introduces the AI Assessment Scale (AIAS) to distinguish between acceptable support and excessive AI dependence. Teachers are encouraged to design assessments that prioritize process, independent performance, and visible thinking. The chapter argues that validity in assessment now depends on proving learner ownership, not just evaluating polished products.

Chapter 10 – Bias, Ethics, and Judgment in AI-Mediated Teaching

This chapter explores ethical concerns surrounding AI, including cultural bias, misinformation, fairness, and overreliance on automation. It emphasizes that AI outputs reflect patterns in data and may reproduce stereotypes or inappropriate language use. Teachers are presented as ethical mediators who must evaluate AI critically before bringing it into the classroom. The chapter reinforces that professional judgment cannot be outsourced to machines.

Chapter 11 – Inside the Language Classroom of 2047

The final chapter imagines the future of foreign language teaching in an AI-rich educational world. It explores how classrooms, assessment, interaction, and teacher roles may evolve over the coming decades. Despite technological advances, the chapter argues that human relationships, empathy, and pedagogical guidance will remain essential. The future classroom may look different technologically, but meaningful learning will still depend on teachers.

Conclusion – Teachers Still Matter

The conclusion brings together the book’s central argument that AI should remain a tool under teacher-regulated pedagogy. It reflects on the enduring importance of human interaction, judgment, and meaning-making in language education. While AI may transform workflows and classroom practices, it cannot replace the relational and developmental nature of teaching. The book closes with a reaffirmation that teachers remain indispensable in the age of AI.

Illustrations

Profusely illustrated, with as many as eighty diagrams, pictures, charts, cartoons, etc., the book is also rich in visual content. Below is a random sample of just a few of these:

Appendix: Contents of back cover

Blogger on the author’s work

“Teachers Still Matter: Foreign Language Pedagogy in the Age of AI” promises to be a definitive work that language educators will heartily welcome — one that brings rare wisdom and calm to a conversation too often dominated by misgivings, fear and hype. Through its groundbreaking IAMPC Model, AI Assessment Scale, and five-phase operational cycle, it places in the hands of teachers beautifully crafted, highly practical, classroom-ready, tools that restore confidence and pedagogical authority in an AI-saturated world where language teaching is no exception. Built on rigorous research spanning 250 surveyed educators and 25 in-depth interviews, yet written with unmistakable clarity and human warmth, the book speaks directly to the widely shared reality of teaching — nowhere more tellingly than in the unforgettable personal vignette about the AI avatar, which captures the anxieties of an entire profession and then, with characteristic flair, shows a clear way through. This promises to be a landmark contribution to applied linguistics and teacher education alike — a future-proof, deeply inspiring work that proves, with both evidence and eloquence, that no machine algorithm can replicate the irreplaceable human act of teaching.

Using Claude AI without letting it cloud my own judgement,

Dr S N Prasad

(Teacher Educator and Science Communicator)

An AI-edited picture of the author (left) and the blogger. 

AI cannot bridge the generational gap between them!