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SCHOOL AI READINESS · STANDARDS V–X

Stronger judgement.
Not just faster answers.

Help young people think clearly, use AI responsibly and remain the authors of their own learning.

Discuss a Pilot Explore the Programme

THE AUGMENTED MIND

AI-capable.
Intellectually independent.

A school capability system that brings student learning, faculty development and responsible AI practice together.

THE SCHOOL CHALLENGE

Neither avoidance nor access alone prepares a learner.

AI readiness asks a deeper question: how do we help students develop judgement when answers are always within reach?

IF WE IGNORE AI

Learning moves beyond the school’s guidance.

Students can encounter AI without the shared language, verification habits and thoughtful support they need.

IF WE ADOPT WITHOUT A LEARNING ARCHITECTURE

Polished output can hide fragile understanding.

Access alone does not develop reasoning. Learners need a progression of challenge, practice and responsibility.

Readiness means knowing how to think with a tool—and when to think without one.

THE TAM ANSWER

One connected capability system.

Not a collection of AI modules. Five mutually supporting commitments turn access into purposeful learning.

Student capability

A developmental journey from solving problems to evaluating and building systems.

Faculty capability

Teachers with the confidence, practice and judgement to guide the journey.

Evidence

Visible understanding, reasoning and revision—not simply activity completion.

Responsible AI

Age-appropriate boundaries, careful tool choices and human supervision.

Implementation

A programme shaped around the school’s learners, teachers and timetable.

THE V–X JOURNEY

Growing capability, one stage at a time.

A coherent progression in how students question, reason, design and evaluate—with increasing challenge and responsibility.

  1. STANDARDV

    The Problem-Solver

    Thinking visibly before AI is introduced.

    HABITS TO BUILD

    Notice → Compare → Find the Rule → Test → Predict → Explain

  2. STANDARDVI

    The Thinker

    Using AI for help without surrendering thinking.

    HABITS TO BUILD

    Attempt → Ask → Inspect → Check → Decide → Reflect

  3. STANDARDVII

    The Reasoner

    Deciding whether a confident answer deserves trust.

    HABITS TO BUILD

    Claim → Evidence → Assumption → Check → Limit → Conclude

  4. STANDARDVIII

    Designer & Decision-Maker

    Deciding whether AI belongs in a solution at all.

    HABITS TO BUILD

    Problem → Success → AI? → Test → Challenge → Judge

  5. STANDARDIX

    Analyst & Builder

    Deciding what evidence actually supports.

    HABITS TO BUILD

    Claim → Evidence → Limit

    PATTERN ≠ CAUSE

  6. STANDARDX

    Evaluator & System Builder

    Deciding whether a measured AI system is actually suitable for use.

    HABITS TO BUILD

    Build → Measure → Interpret → Challenge → Justify

    TECHNICAL PERFORMANCE ≠ SYSTEM SUITABILITY

Explore the full Programme

Think first → Use intelligently → Check rigorously → Change when warranted → Own the result

The TAM developmental pathway: experiences and tool use are adapted to age, demonstrated readiness and the school’s agreed boundaries.

HOW TAM WORKS

Designed together. Embedded in school life.

The learning experience works because teachers, evidence and implementation are part of the same design.

01

Student experiences

Purposeful activities connect AI readiness to real learning. Students question, try, explain and improve.

02

Trained faculty

Teachers experience the activities themselves, practise facilitation and guide students with support.

03

Evaluation

Student work, explanations and reflection reveal what learners understand and can do independently.

04

Governance

The school sets clear boundaries for appropriate use, supervision and responsibility.

05

School implementation

A shared plan brings together the cohort, timetable, approved tools and regular review.

SEE THE SYSTEM IN PRACTICE

Follow a question. See what changes.

Explore the existing demonstration environment to see how student practice, teacher guidance and school oversight connect.

A MOMENT IN THE LEARNING JOURNEY

“The answer sounds right.
How do I know it is?”

Explore a learning activity, inspect the evidence and explain how your thinking changes.

Enter the Demonstrations
  1. The student thinks aloud.

    Choices and uncertainty become visible.

  2. A teacher guides the next step.

    Questions deepen understanding, rather than simply supplying an answer.

  3. Learning becomes reusable.

    A resolved question can help the next learner.

Illustrative demonstrations only. These environments use simulated cases, not live school or student data.

FACULTY CAPABILITY

Teachers grow into confident guides.

Faculty development is a supported journey from understanding the approach to delivering, reflecting and improving it.

  1. 01

    Understand

    Know the purpose and boundaries.

  2. 02

    Experience

    Learn as a participant.

  3. 03

    Practise

    Rehearse activities and feedback.

  4. 04

    Co-Facilitate

    Guide alongside support.

  5. 05

    Demonstrate

    Show readiness to lead.

  6. 06

    Deliver

    Lead with confidence.

  7. 07

    Improve

    Reflect, share and refine.

Completion of training ≠ readiness to lead.

Readiness is demonstrated through observed facilitation: guiding reasoning, supporting productive struggle and helping students check and revise their work. TAM supports teachers as they build that capability.

EVIDENCE OF LEARNING

Look beyond the finished answer.

A useful answer matters. So does the learner’s ability to explain it, challenge it and take responsibility for it.

  1. 01

    Understand

    Explain the task and its purpose.

  2. 02

    Reason

    Make choices and explain why.

  3. 03

    Check

    Verify claims, sources and results.

  4. 04

    Revise

    Improve the work using evidence.

  5. 05

    Own

    Explain the outcome and acknowledge assistance.

Look for visible attempts, checks, revisions and explanations. Evidence informs feedback and the next learning step—not just a completion badge.

Student learning

What can learners understand, explain and do independently?

Facilitation

How well do teachers guide reasoning, challenge and revision?

Implementation

Can the school sustain delivery within its time, capacity and responsibilities?

We consider these areas separately. A small pilot supports the school’s next decision; it is not proof of long-term causal impact.

RESPONSIBLE AI

Clear boundaries. Visible human responsibility.

Responsible practice belongs inside every learning experience, with the school retaining authority over how AI is used.

Age-appropriate use

Match activities and access to the learner’s age, readiness and the tool’s requirements.

Approved tools

Use only tools agreed with the school for the intended learning purpose.

Supervision

Keep guidance and adult oversight appropriate to the activity and learner.

Student-data discipline

Use only the information needed. Keep personal and sensitive information out of inappropriate tools.

A clear route for concerns

Students and teachers know whom to ask for help and how concerns reach the responsible school authority.

Learning without the tool

When an AI tool fails or is unsuitable, faculty can continue with an appropriate non-AI activity. The learning purpose comes first.

Completing an activity never overrides age requirements, school permissions or the need for supervision.

PILOT WITH TAM

Start with a school. Learn before extending.

A focused pilot creates a shared basis for deciding what works, what needs refinement and what should happen next.

  1. 01

    Align

    Agree priorities and a bounded scope.

  2. 02

    Prepare

    Ready faculty, materials and tools.

  3. 03

    Deliver

    Run guided experiences with support.

  4. 04

    Review

    Examine learning, experience and feasibility.

  5. 05

    Decide

    Expand, continue, adapt or pause.

DISCUSS A PILOT

Begin with your school’s priorities.

A first conversation can explore the year group you have in mind, your learning priorities, faculty availability and timetable. Together, these shape a practical starting scope.

See how a Pilot works →

A shared starting point

An agreed scope.
Prepared people.
A review before expansion.

THE NEXT STEP

Build AI readiness.
Keep human judgement at the centre.

Discuss a Pilot Explore the Programme