The Unexpected Variable: How AI Saved My Lesson Observation (and My Sanity)

One minute, I was absolutely geared up for a formal lesson observation. I had a cracking lesson planned for my NCFE Graphic Design Level 1 group at New Friars. We were wrapping up Unit 2—designing a studio layout with Health & Safety specs like monitor heights, lighting, and ergonomics. It was engineered to let the students shine, and frankly, I was looking forward to showing off their progress.

The next minute? I was racing to the walk-in centre.

That is the stark reality of being a working parent and a teacher. The phone rang, and the news wasn’t good: my daughter had taken a nasty tumble in the school yard. There was blood everywhere and a suspected broken nose. I had to leave immediately, forty minutes before the lesson—and the observer—was due to start.

The "Cover Lesson" Panic

In the past, this scenario would have induced a very specific type of panic. Usually, an emergency exit means frantically scribbling down generic "busy work" or worrying that a non-specialist cover supervisor won’t know how to support my SEND learners with such a technical task.

It’s a feeling many of us know too well. It actually reminds me of the Teacher Wellbeing Index by Education Support, which consistently highlights that the inability to switch off or manage unexpected workload spikes is a massive driver of stress in our profession. We often feel we have to choose between being a good parent and being a reliable teacher.

But this time, instead of panicking, I used the drive to sort it.

The AI Co-Pilot

I didn’t have my laptop, and I certainly couldn't type while driving. But I did have my voice. Using the car's Bluetooth and voice-to-text, I spoke directly to Microsoft Copilot.

I didn’t just ask for a generic cover plan. Because I know my students, I gave the AI specific parameters to work with:

 * The Context: I explained the original lesson plan and the specific learning outcomes we needed to hit for the accreditation.

 * The Constraint: I asked it to adapt the content for a non-specialist cover supervisor who wouldn't know the intricacies of graphic design ergonomics.

 * The Needs: Crucially, I instructed it to ensure the task accommodated specific barriers to learning for my neurodivergent group.

By the time I arrived at the school to collect my daughter, the lesson had been completely re-engineered.

The Result

The outcome was genuinely impressive. The cover supervisor received a clear, accessible plan that wasn't just "holding the fort." The students produced work that actually counts as evidence for their accreditation. Perhaps most pleasingly, even the learners who usually struggle with engagement contributed something positive.

My daughter is swollen and bruised, but she’s mending. The observation has been moved to next week. And me? Well, I never did manage to grab a proper lunch that day, but I avoided a professional disaster.

A Tool for Real Life

This isn't about "hustle culture." It’s about being pragmatic.

There is a lot of talk about Generative AI in education, often focusing on plagiarism or report writing. But for me, the real power lies in accessibility. It is a rapid-response tool that keeps the wheels turning when life happens. AI allowed me to prioritise my family without sacrificing my students' progress, turning a chaotic situation into a valid learning experience.

If we can use technology to lower the barrier between a crisis and a solution, then that’s a win in my book.

This text was conceived and directed by a human, using Voice-to-Text and AI assistance to overcome a dyslexia induced literacy barrier.