Real World Ready gives you a principled position on AI that starts with learning, not technology. This page gives you the practical tools to act on that position tomorrow, in any classroom, in any subject area, without waiting for a whole school decision.
Every routine on this page is free, classroom ready, and aligned with the New Zealand Curriculum and NCEA authenticity expectations.
Layer 1 is the foundation of Real World Ready. It is non negotiable.
Your students need genuine encounter before they engage with AI. That encounter must be real and irreducible, something they actually met, not something designed for them to think about. It might happen in a field, a workplace, a community, a performance space, a marae, or in your classroom, any time students encounter something real whose outcome is genuinely open. It might even happen when a genuine crisis requires their thinking to resolve.
It cannot be:
The distinction: encounter is what happens when students meet something irreducible. Everything else is thinking about that encounter.
You don't need a field trip to create it. A phenomenon observed live in your classroom, a peer's genuine confusion in dialogue, an object a student handles, or a real problem facing the school or community can all meet the test, provided the outcome is genuinely open.
A teacher might run the same investigation hundreds of times across a career. The outcome is predictable to her. But for each student meeting it for the first time, the outcome is genuinely open. They don't know exactly what will happen, when, or what they'll notice. What matters is the student's genuine uncertainty and the irreducibility of the real phenomenon, not whether the activity is new to the person running it.
When the learning experience is real, AI becomes a thinking partner rather than a shortcut.
That is a position you can act on tomorrow.
These three routines are the practical foundation of Real World Ready in the classroom. They make student thinking visible and assessable regardless of what AI tools are in use. Each one requires consistent use, not specialist training.
Moves assessment value to traceable decisions. Students name three decisions they made, three reasons for those decisions, and three evidence points from class resources. Hard to fake under time constraints. Straightforward to assess. Works across all subject areas and year levels.
Use it as: a companion to any draft task, a conference script, or a standalone assessment artefact.
A two to three minute structured conversation in which a student points to where their thinking changed. Used consistently, it becomes part of classroom culture rather than a compliance exercise. The three consistent prompts work across all subjects.
Use it as: a rolling check during drafting, a quick exit routine, or a rehearsal before submission.
Travels with any finished piece of work. Separates the product from the proof of thinking. Students name the claims made, the sources used, the limitations acknowledged, and one verification move they made. Works with written work, posters, slides, and video.
Use it as: a submission requirement for any polished product task.
The three routines above are complete. They make thinking visible and assessable. You do not need anything else.
Some schools also choose to examine how students interact with AI in their work. This is different from assessing output. It notices patterns in process: where did they question the AI? Where did they accept without interrogating? Did their thinking sharpen or drift?
An optional learning history tool is available to a small number of schools for this periodic verification. It is not required and not a replacement for your judgement. It is a confidence check, does what you see in conversation match what the interaction data shows?
Focus on the three core routines first. Master those before adding this layer.
A growing library of practical AI integrity resources organised by theme. Every resource follows a consistent structure: a classroom move, a primary example, a secondary example, a decision checkpoint, and a governance reminder.
New resources are added regularly as AI develops in NZ classrooms. The library grows in parallel with the aiEDnz newsletter.
Browse the Tomorrow Ready Resources library →The aiEDnz newsletter publishes practical AI integrity resources for NZ teachers every week. Subscribe free and receive new resources as they are released, directly to your inbox.
aiEDnz is written by Tony Jones, Founder of Field-Based STEM, from direct observation across NZ classrooms and AI clinics with NZ small business owners.
Subscribe on LinkedInReal World Ready is a methodology developed by Field-Based STEM (ActivityPlus Ltd). Tony Jones is a Ministry of Education Accredited PLD Facilitator (Accreditation Number: ACC1342) with 40 years of experience in NZ education. For more information or to begin a conversation about Real World Ready in your school, contact [email protected].