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Sandcastle ratios

In this lesson students think like geotechnical engineers, exploring the properties of sand and the ways in which those properties can be used in building and construction.

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Future transport – air taxis

In this lesson, students learn about advanced air mobility, and explore the infrastructure requirements to adapt cities and towns for eVTOLs.

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Engineering is futures-focused and multidisciplinary

In this lesson, students explore the multidisciplinary nature of contemporary engineering, and how engineering is pivotal to solving future challenges such as climate change, renewable energy and food security.

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Thermoregulation in spacesuits

Space exploration demands technological advances that enable survival in extremely harsh environments. In this lesson, students will explore contemporary spacesuit design and create their own representation of the suit’s thermoregulation system.

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Zombies and network models

In this lesson, students explore the use of network diagrams to represent connections, then apply a network-based COVID transmission simulation to hypothesise how a virus might spread through a small population.

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Visualising climate change | The GiST

In this STEM lesson students explore local temperature and rainfall datasets over time and represent trends in innovative ways.

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Binary Acknowledgement of Country

In this learning sequence we explore data representation, learning about the way data in the form of text can be represented in binary (on and off states). In using the context of Acknowledgement of Country, we explore First Nations Australian language or group names written digitally as symbols and using a long thread of beads.

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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 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: 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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Habits of a Systems Thinker

This lesson introduces some of the skills and concepts involved with Systems Thinking. Students are introduced to a number of Habits of a System Thinker, positive and negative feedback loops and the concept of supra- and subsystems.

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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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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.

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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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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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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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Introduction to binary - catering for vision impaired students

This sequence of lessons focuses on what a binary number is, what a decimal number is, why binary numbers are important in digital systems and how to read and understand a binary number.

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Future proofing data

This lesson sequence aims to identify strengths and weaknesses of past, present and future methods of data storage and recognise the risks and benefits for users. Students explore specific “data dilemmas”.

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Check out the checkout

This sequence of lessons explores how to incorporate user input, decision-making and loops in programming using the context of a shopping experience, particularly the checkout. It combines data in the form of a barcode and programming choices.

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Behaving with real class - Using a text-based language

This lesson sequence offers an approaches to teaching object-oriented principles using text-based programming. It attempts to address the problem that many of programming languages are too complex and their environments confusing for many students.