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Create dichotomous keys lesson

In this lesson students engage in a hands-on exploration of local diversity. Students research and record local wildlife, learn about biodiversity in Australia, and conduct a ‘bush blitz’. They learn how to create dichotomous keys and translate their keys into a wildlife discovery app prototype. The resource includes links ...

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Sphero slalom lesson

In this lesson students explore slalom sports and how competitors maximise speed when completing a course. Students research different slalom sports and then share their findings with the class. Students investigate the impact of distance and friction on time to complete a course through digital and unplugged activities. ...

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Book analysis with AI techniques

This learning sequence explores text analysis through Natural Language Processing, a significant application of Artificial Intelligence. Teachers and students are led through a series of video tutorials to develop a Python program that can break down and analyse the content of a complete text and use smart sentiment analysis ...

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Visual to text coding: Lesson 10

This is the tenth 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 coding concept of functions. Functions can help organise code, reduce repetition and more to be explored later.

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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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Coding for GUIs Lesson 5: GUIfy my program!

This is the fifth in a series of lessons to incorporate Graphical User Interfaces (GUIs) into your General Purpose Programming. The series follows on from the Visual To Text Coding lesson series.

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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.

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Visual to text coding: Lesson 12

This is the final in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. See next steps for suggested courses and learning sequences after this lesson. It builds on the coding concept of functions (by introducing the concept of return values. Functions are ...

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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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Coding for GUIs Lesson 4: Flipping images

This is the fourth in a series of lessons to incorporate graphical user interfaces (GUIs) into your general-purpose programming. The series follows on from the Visual to text coding lesson series.

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AI ethics - What's possible, probable and preferred?

The development and ubiquity of Artificial Intelligence raise a number of social and ethical matters that students can explore in the Digital Technologies classroom. This lesson idea outlines a project to help students frame such discussions using the curriculum Key Idea of Creating preferred futures, tying into Critical ...

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Introduction to Ozobot and colour codes

Students are introduced to Ozobot and how drawing lines and colour codes can control it. This lesson allows students to experiment with different lines and codes to create a path for Ozobot to follow. This lesson idea was created by Steven Payne.

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AI and image recognition

This lesson builds on How can an AI recognise what is sees? It focuses on image recognition that involves feature extraction, object detection and classification, and introduces the idea that computers store and use data using 0s and 1s.

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How can AI recognise what it sees?

This lesson is an introduction to the way in which a computer sees. It focuses on image recognition that involves feature extraction, object detection and classification. This lesson was developed in collaboration with Dr Karsten Schulz, Digital Technologies Institute.

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Note the music

We can program a computer to play music. Conventionally this is done by hard coding, which is the process of coding all possible expected behaviours. Alternatively, we can train an artificial intelligence (AI) computer about what notes go well with others, so it can play a duet with a human musician. Students can make their ...

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Fairytale fun

Use the slide sorter function to arrange a set of presentation slides in correct sequence to retell a fairytale.

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Three little pigs

Retell the story of the Three Little pigs using a light sensing robot such as Ozobot.

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Turtles: exploring data tracking turtle movements

By gathering data on marine turtles, scientists have evidence that helps them work out where turtles migrate and the journeys they take. Scientists can then help to reduce the threats to the turtles’ survival. In this lesson we look at satellite tracking using real scientific data. Explore ways to model, interpret, represent ...

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AI quiz

This lesson provides an opportunity for students to draw on their ethical understanding when asked to respond to different scenarios. The scenarios feature information systems that incorporate an AI application. Students are given four options to select which one they believe to be the ‘right’ thing to do. Students develop ...

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Home automation programming (yrs 5-6)

Investigate home automation systems, including those powered by artificial intelligence (AI) with speech recognition capability. These suggested activities provide a level of differentiation to cater for students’ range of programming skills. They were developed in collaboration with the Digital Technologies Institute.