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Lesson plans

Use these lessons to teach the key concepts of AI.

Image recognition

Image recognition is a form of teaching computers to see and understand pictures similar to how humans do. It's a way for machines to recognise objects, people, places or features in photos and videos.

Try these lessons:

Can an AI recognise what you are drawing?

Years 1–2

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How can AI recognise what it sees?

Years 3–4

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AI and image recognition

Years 5–6

Smartphone security

Years 5–6

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AI image recognition – exploring limitations and bias

Years 7–8

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Natural language processing

Natural language processing (NLP) is the technology that powers a number of AI applications. It makes chatbots chat. It gives virtual assistants their ability to help. It performs sentiment analysis to classify emotions in text. And it translates language to break down language barriers.

Try these lessons:

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Fun projects with language translation

Years 3–4, Years 5–6

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Can a computer recognise your sentiment?

Years 5–6

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Home automation programming

Years 5–6

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Anti-bullying AI

Years 5–6, Years 7–8

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Home automation: General purpose programming

Years 7–8

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Coding a sentimental chatbot in Python

Years 7–8, Years 9–10

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Machine learning

Machine learning is a process that teaches computers to learn from examples to help them get better at tasks such as predicting, recommending and decision-making. It's what makes technology smarter!

Try these lessons:

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Can AI guess your emotion?

Years 1–2, Years 3–4

AI smartphone security

Years 5–6

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Rock, Paper, Scissors AI!

Years 7–8

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Ethics and responsible AI

AI and ethics are intertwined as society grapples with questions of fairness, privacy and accountability in the design and use of artificial intelligence (AI). Responsible AI development is crucial to ensure that AI systems benefit society, avoid bias, and respect human values and rights.

Try these lessons:

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AI Quiz

Years 5–6, Years 7–8

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Analysis of AI applications, drawing on ethical understandings

Years 5–6

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Data bias in AI

Years 5–6, Years 7–8

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AI image recognition – exploring limitations and bias

Years 7–8

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What's possible, probable and preferred?

Years 9–10

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Recommender systems

Recommender (or recommendation) systems are a type of information-filtering system that attempts to predict the rating or preference a user would give to an item.

Try this lesson:

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Filter bubbles, bias, rabbit holes and nudging

Years 9–10

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Evaluating AI systems

Evaluating AI systems not only assesses their performance but also measures their impact on society, addressing ethical considerations and potential consequences of their use. It's a comprehensive process to ensure responsible and effective AI deployment.

Try this lesson:

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Systems thinking and AI applications

Years 7–8, Years 9–10