Quest 6 of 15
Core Project: AI-Supported Classroom Pilot
Apply the core modules in a bounded classroom pilot with teacher-controlled workflows, limited data use, safeguarding stop conditions, and measures of learning impact. This is a core-stage project; modules 7–14 add accessibility, specialist subjects, leadership, safeguarding, and rollout depth before the school pilot portfolio capstone in module 15.
Start here
A smart classroom pilot is one bounded experiment — assistant, analytics, and content tools with teacher control and evidence of learning impact.
Big idea
Integrate tools slowly — measure impact on learning, not only time saved for teachers.
Learn one idea at a time
Read, explore, then mark each idea when you can explain it.
Idea 1 of 8
Start with one low-risk pilot: one class, one subject, one bounded purpose, and a fixed duration — for example, an AI revision helper in a single Form 3 mathematics class for six weeks. The boundaries are the point. A small pilot can be genuinely supervised, its problems can be caught while they are still small, and its results can be honestly attributed — whereas a school-wide launch produces effects nobody can trace to causes. Choose a use case where failure is cheap (revision practice, not exam marking), write down what the pilot is for in one sentence, and resist every well-meaning suggestion to expand it midway; scope added under enthusiasm is evaluated by nobody.
Choose a deep dive
Open the topics you want to explore. The detail stays folded until you need it.
Deep dive 1Pilot the learning design, not just the tool
A classroom pilot should test whether a defined teaching approach improves learning, not whether learners enjoy a new chatbot. Compare a relevant baseline, such as an exit-ticket result or revision confidence, with evidence gathered during the pilot.
Deep dive 2Build an exit plan before launch
Decide how learners will continue if access fails, the provider changes terms, or the tool produces unsafe output. A teacher needs authority to pause the tool, use an alternative activity, and report an issue without waiting for technical approval.
Deep dive 3Case study: a six-week pilot, start to finish
A school pilots an AI revision assistant with one Form 3 class. Week zero: the teacher records a baseline revision-quiz average and collects student attitudes. Weeks one to six: learners use the assistant twice weekly in a supervised session, under rules — attempt first, no personal data, log anything odd. The teacher reviews interaction samples weekly and catches one incident: the bot confidently mis-states a chemistry definition, which becomes a whole-class exercise in verification. Week seven review: quiz average up modestly, but the clearest gain is in students' question quality; two students report using it to avoid work, prompting a rule adjustment. The school's decision — continue with the amended rules, extend to one more class, re-review in a term — is proportionate because the evidence is honest and specific.
Deep dive 4Student voice is pilot data
Learners will tell you things usage logs cannot: that the assistant explains better than the textbook but sometimes contradicts the teacher, that the boys dominate the shared devices, that it feels easier to ask a bot than raise a hand — and that the same ease makes it tempting to stop thinking. Collect this systematically: a short anonymous survey mid-pilot, a five-minute class discussion at the end, and one question about fairness of access. Some of the most consequential pilot findings in schools have come from a single student comment that no dashboard would ever have surfaced.
Deep dive 5One class, one pilot
Bound duration, measure learning evidence, keep teacher override.
One-minute challenge
Connect this lesson to real life
Name one situation where this idea could help, and one thing a person should still check.
Explore a real-world example
Use the arrows to connect the idea to a visible situation.
Photo example
Example: evidence over gadgets
Success is better student work — not more AI buttons.
Key terms
Tap a term to flip and read the definition.
Optional further learningFree textbooks and trusted online resources
These sources informed the course structure. Use them to revisit a concept or study it in more depth.
Ready check
Tick each idea only when you could explain it without looking back.
Ready for practice? Blueprint your core classroom pilot with privacy, safeguarding, and pedagogy first; later modules prepare the final portfolio capstone.
Extra context (audience, logistics, curriculum notes)
Built for: Final synthesis; individual or small team.
Formats: Capstone blueprint · Presentation · AI mentor lab · Peer review
Teaching capstone — ISTE-aligned integration plan.
Next up
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