You became a teacher to teach. To watch a kid finally get fractions. To see a quiet student light up during a discussion. To make a difference that matters.
Instead, you spend your Sundays writing lesson plans. Your evenings marking books. Your breaks filling in spreadsheets. The average teacher in the UK works 50+ hours a week. In the US, it's closer to 54. In Australia, 55. And at least 10 of those hours have nothing to do with the students sitting in front of you.
AI won't fix the system. But it can give you back your time β and that changes everything.
Let's be honest about where your time actually goes. Studies from the Education Policy Institute, the National Center for Education Statistics, and the Australian Institute for Teaching consistently show the same thing:
Planning and preparation β 5 to 8 hours per week. Writing lesson plans, finding resources, adapting materials, aligning to curriculum standards.
Marking and feedback β 5 to 7 hours per week. Reading work, writing comments, grading, recording results.
Admin and reporting β 3 to 5 hours per week. Data entry, behaviour logs, parent communications, report writing.
That's 13 to 20 hours every week on tasks that don't involve standing in front of students. And every one of those tasks follows patterns β patterns that AI can learn, accelerate, and partially automate.
This isn't about replacing your expertise. It's about stopping the repetitive parts from stealing your weekends.
Here's what AI is not: a magic button that does your job for you. It doesn't know your students. It doesn't know that Jayden needs extra scaffolding or that Priya is ready to be stretched. It doesn't know your school's behaviour policy or the fact that your projector doesn't work on Tuesdays.
Here's what AI is: a thinking partner that works at machine speed. It can draft a lesson plan in 30 seconds that would take you 30 minutes. It can generate a differentiated worksheet in the time it takes you to open a Word document. It can write report comments that you then tweak with your professional knowledge.
Think of it this way: AI handles the first 80% β the structure, the boilerplate, the repetitive groundwork. You handle the final 20% β the personalisation, the professional judgement, the knowledge of your actual students.
That ratio is what turns a 3-hour Sunday planning session into 30 minutes.
Teacher A sits down at 2pm to plan the coming week. She opens a blank document and starts writing objectives for Monday's lesson. She searches online for worksheets. She adapts a resource from last year. She writes starter activities. She differentiates for three ability groups. She checks curriculum alignment. She finishes at 5pm. Three hours gone.
Teacher B sits down at 2pm with ChatGPT open. She types: "Create a week of Year 7 English lessons on persuasive writing, aligned to the UK National Curriculum, with learning objectives, activities, timing, and differentiated tasks for three levels." In 60 seconds, she has a draft. She spends 25 minutes reviewing, tweaking, and adding her own ideas. She's done by 2:30pm.
Both teachers deliver great lessons on Monday. The difference is that Teacher B has her Sunday afternoon back.
This course will make you Teacher B.
Before we go any further, let's set the ground rules. AI in education comes with real responsibilities:
Never put student data into AI tools. Don't paste student names, grades, SEND information, or any personally identifiable information into ChatGPT or any other AI. Use generic descriptions instead β "a Year 9 student working at foundation level" rather than "Jake Thompson who has dyslexia."
Always review what AI generates. AI can produce content that's inaccurate, culturally insensitive, or inappropriate for your age group. You are the quality filter. Nothing goes to students without your professional review.
Be transparent with your school. Check your school's AI policy. If there isn't one yet, talk to your leadership team. Many schools are developing acceptable use policies right now, and being part of that conversation puts you ahead.
AI assists. You lead. The professional judgement is always yours. AI suggests β you decide. That's not just good ethics, it's good teaching.
Look at that conversation. A teacher typed one message β about 50 words β and got back a complete, differentiated, 60-minute lesson plan in under a minute. It includes a starter, main teaching input, three levels of differentiation, a plenary, and a resource list.
Is it perfect? No. You'd probably adjust the timing, swap out an activity you know doesn't work with your class, or add a specific resource you already have. But the structure is done. The thinking work is done. Instead of starting from a blank page, you're editing a solid first draft.
That's the shift. From creator to editor. And editing is dramatically faster than creating.
Over the next 20 days, you'll build a complete AI-powered teaching toolkit:
Week 1 (Days 1β7): Planning and resources. You'll learn to generate lesson plans, differentiated worksheets, starter activities, and full weekly plans in a fraction of the time.
Week 2 (Days 8β14): Marking and reports. You'll use AI to draft feedback comments, generate report card text, build rubrics, and process assessment data.
Week 3 (Days 15β20): Communication and CPD. You'll tackle parent emails, behaviour documentation, professional development, and building your own reusable prompt library.
By the end, you'll have a system β not just a set of tricks. A system that saves you 5 to 10 hours every week, consistently, for the rest of your career.