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Visual to text coding: Lesson 7

This is the seventh in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. This lesson may take two to three 45-minute periods. It introduces iteration (also called loops).

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Visual to text coding: Lesson 5

This is the fifth in a series of lessons to transition from visual coding to text-based coding with a general purpose programming language. This lesson may take two to three 45-minute periods. It introduces how to create and use arrays (also called lists).

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Visual to text coding: Lesson 4

This is the fourth in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. This lesson may take two to three 45-minute periods. It introduces the combining of logical operators and and or for more complex decisions.

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Visual to text coding: Lesson 1

This is the first in a series of lessons to transition from visual coding to text-based coding with a general-purpose programming language. This lesson may take two to three 45-minute periods. It introduces how to create variables, get user input and perform maths operations.

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Visual to text coding: The Basics

This series of lessons is to help students to transition from visual coding to text-based coding with a general-purpose programming language. This section provides the basics in order to use the programming environments: Scratch, Python and JavaScript.

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Visual to text coding: Lesson 2

This is the second in a series of lessons to transition from visual coding to text-based coding with a general-purpose programming language. This lesson may take two to three 45-minute periods. It introduces how to make decisions (branching) and identify data types.

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Visual to text coding: Lesson 9

This is the ninth in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. This lesson may take two to three 45-minute periods. It explores creating powerful programs for managing and analysing data, by combining the previous skills of using loops and working ...

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Visual to text coding: Setting Up

This series of lessons is to help students to transition from visual coding to text-based coding with a general-purpose programming language. This section provides guidance on how to set-up the particular programming environment including Scratch, Python and JavaScript.

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Anti-bullying AI

Sometimes we write and post things on social media in a hurry. Such posts can hurt people and even make them feel bullied. Wouldn't it be great if an Artificial Intelligence application could check our posts as we write them, and warn us if they were potentially hurtful?

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AI image recognition - exploring limitations and bias

A hands-on activity to practise training and testing an artificial intelligence (AI) model, using cartoon faces, including a discussion about sources of potential algorithmic bias and how to respond to these sources.

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Data bias in AI

Artificial intelligence can sometimes be biased to certain shapes or colours. When such AI systems are applied to situations that involve people, then this bias can manifest itself as bias against skin colour or gender. This lesson explores bias in AI, where it comes from and what can be done to prevent it.

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Home automation with AI

Home automation is all the rage. You talk to your mobile phone to control the lights, the fan, the air conditioner, or your pool pump. But how does it work? In this lesson, we explore the AI that could power a home automation system.

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Can a computer recognise your sentiment?

This lesson plan enables students to explore how Natural Language Processing (NLP), a subset of Artificial Intelligence (AI), is used to assess and categorise a user’s online comments. (AI is the ability of machines to mimic human capabilities in a way that we would consider 'smart'.)

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Fun projects with language translation

Natural language processing is growing in importance. We often converse with automatic chatbots for customer service without even knowing. We also use online translation services or mobile apps. But how do these services work? Is there artificial intelligence (AI) in them? Three projects are offered to cater for student ...

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Recognising AI

Use the tasks in this lesson to introduce concepts that underpin artificial intelligence (AI). The majority of the tasks are unplugged (do not require a digital device). Use the downloadable AI cards with your students to explore what they know about AI.

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Can AI guess your emotion?

Discuss emotions as a class, and introduce the idea of artificial intelligence (AI). This lesson can also be used to introduce image classification – a key application of AI. Developed in collaboration with Digital Technologies Institute.

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Visual to text coding: Index page

This lesson sequence provides a bridge between visual coding (eg. Scratch) and General Purpose Programming languages (eg. Python or JavaScript). This resource is most suitable if you have never done General Purpose Programming and/or you benefit from slow-paced, step-by-step video tutorials.

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Hot Bots

For this project, students are introduced to the Arduino microcontroller and Arduino integrated development environment for programming a switch on an air conditioner. This lesson was designed by Cindy Thornton, Flinders Island District High School, Tasmania.

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What's the buzz?

In this lesson students use BeeBots and Scratch Junior to synthesize what they know about Bees and are introduced to mapping concepts. This lesson idea was created by Karen Butler.

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Seeing the wood for the trees

In this lesson sequence students summarise data using advanced filtering and grouping techniques, for example pivot tables in spreadsheets and aggregation functions in databases.