No — AI detection software is not reliable enough to catch cheating on its own. Current detectors estimate the probability that text was AI-generated, but they…
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AI helps most by taking a first pass at time-heavy, repetitive tasks so teachers spend their hours on judgement and students. Realistic wins include drafting feedback…
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AI reduces teacher workload by taking the mechanical, repetitive work off your plate, such as drafting feedback against a rubric or turning notes into a parent…
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Teachers use AI responsibly by keeping a human in control of every decision, protecting student privacy, being transparent about when and how AI was used, and…
Read more You keep student data private by checking how an AI tool collects, stores and uses information before you upload any student work. Ask where data is…
Read more Redesign assessment to be more AI-resilient by shifting weight onto process, in-class performance and authentic tasks that generative AI cannot convincingly fake. Assess drafting and thinking,…
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Yes, it is generally OK to use AI to help mark student work, provided the teacher stays the decision-maker. AI can draft feedback and check answers…
Read more AI reduces teacher workload without cutting corners when it drafts the repetitive, rule-bound work, such as feedback aligned to a rubric, summaries and first-draft resources, and…
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Teachers use AI responsibly for marking and feedback by keeping it a drafting tool, not the decision-maker: AI can suggest feedback against your rubric and success…
Read more Keep student data safe by treating student work as personal information under New Zealand's Privacy Act 2020: know what a tool does with anything you enter,…
Read more You keep the teacher in control by treating AI as a drafting assistant, never the final marker: it proposes feedback against your rubric or achievement standards,…
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You maintain assessment authenticity by designing tasks that are hard to outsource and by gathering evidence of the process, not just the product. Combine in-class writing,…
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