For months before attending Joe Dale's IB Exchange webinar, I had been quietly asking myself the same uncomfortable question: why do my students still need me if AI can generate a personalised English lesson in seconds?
I had been experimenting with AI tools in my planning — sometimes producing genuinely useful materials, often producing things I had to heavily edit or discard. It felt like trial and error with no map. What I was missing wasn't permission to use AI. It was a professional framework for using it well.
What the webinar changed
Joe Dale's session, "Language B: Surefire Hits with AI in the Languages Classroom" (IB Exchange, June 2026), was the most practically useful professional learning I'd attended in a while. Not because it told me AI is coming — I already knew that. But because it showed specific workflows that actually connect tools together into coherent teaching sequences, rather than using AI as a one-off shortcut.
Seeing it done properly clarified something I hadn't been able to articulate before. The question isn't "how do I use AI?" The question is "what does AI reveal about what I was already doing wrong?" Because the things that AI handles well — generating practice tasks, creating differentiated texts, drilling vocabulary — are exactly the things that were already low-value in my classroom. The things AI cannot do are the things that were always highest-value.
The questions I started asking
After the webinar I sat with my Module 4 Windsor assignment — a Question Starts task — and ended up writing nine questions. The one I starred:
What if the most important thing I teach my students has nothing to do with English at all?
⭐ Starred question — Module 4, Windsor IBEC, June 2026The answer I kept coming back to: my real role is teaching cultural knowledge, intercultural relationship-building, and language as a form of connection — not grammar transfer. A student can ace an AI quiz and freeze the moment a real person asks them something unexpected. The gap between those two things is where most language teaching gets stuck, and where authentic human presence closes the distance.
What this looks like in my classroom now
In practice, this means I've shifted how I think about where AI belongs in my planning. I now use it for the preparation layer — generating differentiated reading texts at multiple levels for the same topic so every student can access the same inquiry content, or producing speaking prompts connected to Chongqing life and Chinese cultural contexts that would take me much longer to write alone.
What I do not use it for: the lesson itself. The conversation, the moment a student realises something in English they couldn't say before, the cultural comparison that surprises them — those moments require a human in the room who knows these specific students, this specific context, and what happened last Tuesday.
On AI detection and authentic writing
Working closely with AI tools in my own professional writing has also made me more attuned to what authentic student writing looks and sounds like. The best defence against AI-generated student work is not a detection tool — it's designing tasks where only this student, with this life, in this classroom, could have written this particular response. That's not a new insight. But AI made it urgent in a way it wasn't before.
The answer to my original question
Why do my students still need me? Because the moment a student feels genuinely heard in a second language — understood by another human being across a cultural and linguistic gap — that moment cannot be produced by a tool. It is produced by a relationship. And relationships are what I build.
That is not a comfortable conclusion for an educator who wants to believe the content matters most. But I think it is true. And Joe Dale's webinar, oddly enough, is what helped me get there.