AI Literacy

Student AI
Literacy Modules

Self-guided, shareable activities that teach students critical thinking around AI. No login requiredβ€”just copy, share, and assign.

Available Now

Nine shareable modules,
ready to assign.

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AI Systems Explorer

Students learn how AI actually works under the hood β€” why it sometimes makes things up, how it differs from a search engine, and when to trust its output. Differentiated across 4 grade levels.

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AI Limitations & Failure Analyzer

Students explore the specific ways AI fails β€” from hallucination and outdated knowledge to overconfidence and gaps in reasoning β€” and practise spotting these failure modes in real examples.

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AI Safety & Risk Coach

Students learn how to identify personal, social, and academic risks when using AI β€” including privacy, data sharing, manipulation, and when AI use crosses into academic dishonesty.

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AI Ethics & Social Impact Coach

Students engage with the ethical and societal dimensions of AI β€” bias, fairness, labour impacts, environmental cost, and how design choices shape who benefits and who doesn't.

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AI Use Boundary Checker

Students work through a structured decision-making framework to judge whether using AI for a given task is appropriate, helpful, risky, or a shortcut that undermines their own learning.

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Generic 'Study Buddy'

An open-ended AI tutor that asks questions before giving answers, helping students think through any topic using guided inquiry. Assign before or after a lesson on any subject.

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AI Output Critic

Students learn to read AI responses with structured scepticism β€” checking for factual errors, missing perspectives, biased framing, and flawed reasoning. Works across all subjects and grade levels.

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AI Use Reviewer

A post-task reflection tool β€” students look back at how they used AI for an assignment, evaluate whether it helped or hindered their thinking, and articulate what they'd do differently.

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AI Decision Simulator

Students navigate realistic scenarios that require judgment under uncertainty β€” practising when to use AI, when to verify, when to override it, and how to weigh competing considerations.