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The Pronoun Shift: ‘It Made’ and the Future of Teaching

The Pronoun Shift  ‘It Made’ and the Future of Teaching

There is a moment I keep returning to. A student looks up from their screen, genuinely excited, and says, “Look what it made.” Not what I made. What it made.

That small shift in pronoun says more than any policy document or conference keynote. It quietly redraws the boundaries of authorship, effort, even pride. And it forces a harder question onto the table: if the tool is doing the producing, what exactly are we teaching?

Artificial intelligence did not arrive as a distant idea. It is already woven into the everyday rhythm of the classroom. It writes essays, explains grammar, builds lesson plans, and answers questions at a speed no teacher can match. For those of us who have spent years refining materials and sequencing learning carefully, that shift is not just technical. It is personal.

And yet, the disruption has been unexpectedly productive.

In my own practice, preparation has changed first. Tasks that once absorbed entire evenings now take minutes. I use AI tools to generate grammar theory sheets and differentiated worksheets that are clean, structured, and usable immediately. The gain is not efficiency for its own sake. It is reclaimed time. Time that goes back into the students in front of me.

Literature teaching, too, has opened up. A lesson linking Romeo and Juliet with Erotokritos became something far more immersive than I could previously design alone. Visual coherence, narrative flow, interactive elements, all built faster than expected. Then it shifts again, into something closer to a game. Students move through challenges, compete, collaborate, stay engaged in ways that traditional formats rarely sustain.

And inside the classroom, something else is happening. Energy. Movement.

Students solving language puzzles in escape-room scenarios. Writing songs to memorise structures. Laughing while working through complex ideas. None of this replaces teaching. It reframes it.

But the real tension appears when we reach writing.

“When a tool can produce a paragraph in seconds, what am I teaching when I teach writing?”

Not the paragraph. That much is clear. It is the thinking behind it. The hesitation, the selection, the decision to reject one idea and follow another. The invisible work that no generated answer can replicate. That is where the value sits now, and it is far less visible than before.

When a tool can produce a paragraph in seconds, what am I teaching when I teach writing?

Which means some things become non-negotiable. We need to hold on to critical thinking, not as a slogan but as a daily habit. Students must learn to question what they see, not just accept fluency as truth. AI produces convincing language. It does not produce judgement.

We also hold on to relationships. Quietly, stubbornly. No system notices the student who has stopped trying because something outside school has shifted. No tool understands the exact moment when encouragement matters more than correction. That awareness still belongs to us.

And reading, real reading, becomes almost an act of resistance. Sitting with a difficult text, staying with it long enough to feel discomfort, to misinterpret, to return and try again, that process cannot be outsourced. It is slow. It should be.

Ethics sits underneath all of this, not as an abstract principle but as daily practice. Transparency, honesty about how tools are used, refusal to let convenience quietly redefine standards. The teacher is still a moral presence in the room, whether we acknowledge it or not.

At the same time, some things are simply no longer worth defending.

Memorisation as proof of understanding has lost its credibility. Access to information is instant. What matters now is transformation, what a student can do with what they find.

Authority based on knowing more is fading as well. Students can often access the same information, sometimes faster. Authority now rests elsewhere, in how we think, how we guide, how we model curiosity without pretending certainty.

And perhaps most importantly, the idea that using AI somehow diminishes the teacher needs to go. It is a false dilemma. A teacher who builds interactive tasks, experiments with format, or integrates new tools is not stepping back. They are making deliberate choices about how learning happens.

What remains, unchanged, is responsibility. Every student still needs the conditions to grow, not just cognitively, but emotionally and socially. That obligation has not shifted. No system shares it. No algorithm carries it.

So the role evolves. From delivery and answering to design and questioning.

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