NCEA assessment integrity is the AI conversation every secondary school is already having, whether deliberately or not. For secondary teachers and Heads of Department, that conversation needs to go further than “don’t let students use it” — it needs a real position on what responsible classroom use actually looks like inside NCEA’s internally and externally assessed standards.
Dr. Craig Hansen, founder of Summit Institute, has trained more than 1,000 schools across Aotearoa New Zealand on AI in education. Secondary departments are usually further along the worry curve than primary staffrooms — not because secondary teachers are more anxious, but because NCEA puts a sharper edge on every AI question. Internal assessment, in particular, raises the stakes.
“The session was really valuable for me as it gave in-depth knowledge about AI as how teachers can use it at the ground level.”
— Teacher, Auckland secondary school
Why NCEA changes the AI conversation for secondary teachers
A primary classroom’s AI questions are mostly about planning and differentiation. A secondary classroom’s AI questions arrive with a credibility dimension already built in, because so much of what students produce eventually counts toward a credential. AI in NCEA teaching and learning isn’t a separate issue from AI in secondary schools NZ generally — it’s the issue that sits underneath almost everything else.
Subject specialism changes the shape of this too. Where a primary teacher might use AI broadly across literacy and numeracy, AI for subject specialists in English, science, maths, or history tends to be narrower and more technical — source analysis scaffolds, practice exam-style questions, differentiated resources within a single discipline.
Where AI can responsibly support planning, feedback and study skills
Using AI to design internal assessments is one of the most useful applications for HoDs and teachers — drafting task ideas, generating rubric language, or stress-testing a brief for ambiguity before it goes anywhere near a student. AI for feedback and marking works well on drafts and formative work: generating exemplar-style models, drafting feedback comments a teacher then personalises, or producing practice questions for revision.
Using AI to support senior students’ study skills is worth being deliberate about too — study plans, summarised notes, practice questions for an upcoming assessment. Used this way, AI sits clearly on the “support” side of the line. The moment it starts doing the thinking a standard is actually assessing, it’s crossed it.
Protecting assessment authenticity under NCEA requirements
NZQA is explicit that submitted work must represent a student’s own effort and understanding. AI and NCEA assessment integrity isn’t a grey area at the level of principle — it’s only grey in the day-to-day judgement calls: is using AI to check grammar on a final draft the same as using it to generate the argument? Most departments haven’t actually written down where they draw that line, which means individual teachers are drawing it differently, often without realising it.
Ministry of Education guidance and NZQA’s own positioning on this continue to evolve, which is exactly why a department’s working position needs revisiting each year rather than being set once and forgotten.
Department-level guardrails HoDs should set
AI training for HoDs matters because consistency across a department protects students more than any individual teacher’s good judgement does. If one teacher in a subject allows AI for brainstorming and drafting while another bans it outright, students moving between classes — or just comparing notes with a friend — are operating under different rules for the same standard. That inconsistency is the actual risk, more than any single tool.
A simple, shared statement of what’s permitted at each stage of an assessment — planning, drafting, final submission — communicated to students before the unit starts, removes most of the ambiguity that gets schools into trouble later.
Building senior students’ own AI literacy and integrity
Senior students are already using AI tools, in and out of class, with or without a department position on it. The more useful response isn’t trying to detect or ban it — it’s teaching students directly what responsible use looks like: AI as a way to test their thinking and find gaps in an argument, not a way to skip the thinking altogether. That’s also, not coincidentally, the same AI literacy they’ll need well beyond NCEA.
“Was great seeing the scope of what AI can do to make things even more efficient for me.”
— Teacher, Nelson secondary school
Ready to get your department on the same page?
Dr. Craig Hansen runs practical AI PLD for secondary departments and HoDs across New Zealand, built around the specific pressures of NCEA rather than a generic AI overview. Contact him to schedule an introductory chat about a department workshop or teacher-only day.
Get in touch — craig@summitinstitute.ac.nz
If your department or school doesn’t yet have a written position on AI and assessment, the AI Policy Creator and Reviewer can generate a draft or review what you already have — available as a ChatGPT GPT (https://chatgpt.com/g/g-9RWHgaCa5-dr-craig-s-ai-policy-reviewer-upload-generator) and a Gemini Gem for Google schools (https://gemini.google.com/gem/1vxfFeGPs93btyPamcIW-IypGyhzarFoZ).
“AI is the biggest equity move we can make in our generation.”
— Dr. Craig Hansen, quoted by a principal, Far North school
