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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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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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Off to the movies

This is a simple Boolean (true/false) application where its asks the user’s age - if you are over 15 then you can watch G and M rated movies - if you are under 15, then you can only watch G rated movies. This lesson was designed in collaboration with Jason Vearing QSITE (Gold Coast Chapter).

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Rock, Paper, Scissors AI!

In this lesson we use the game rock, paper scissors to investigate how an AI can recognise your hand gestures. Firstly students create, train and test their own AI model. They import their AI model into a pre-made JavaScript program to modify the computer program to incorporate game play. The level of game play will depend ...

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Lilypad Personalised Alert Buzzer

In this lesson students will create a personalised musical buzzer by programming the LilyPad Arduino to play a sound using the Main board, Buzzer and Button, coding the note frequency in Arduino IDE. The lesson can be extended to include LED’s that light up or flash according to the note played to enable the buzzer to be ...

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Data knowledge and skills tutorial: part 4 - analysing and visualising data

This video demonstrates ways in which data can be analysed and visualised. It is the final in a series of four.

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Classroom ideas: Micro:bit environmental measurement (visual and general-purpose programming): years 5-8

This tutorial shows ways in which environmental factors such as lighting and temperature can be measured and improved using micro:bits and sensor boards, and programmed using pseudocode, visual programming and general-purpose programming.

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Micro:bit missions: Take a chance on me (Integrating Mathematics): years 6-8

This resource comprises two activities that allow students to explore the concept of chance in Mathematics. Students use computational thinking while using a micro:bit as a digital system to generate and collect data. Students implement programs involving branching and iteration in visual and general-purpose programming languages.

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Scratch 3.0 tutorial

This tutorial provides step-by-step instructions to support the learning of Scratch, a visual programming language. The tutorial is designed for educators who would like to learn how to use Scratch.

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Expert webinar video: Dr Michelle Ellis: Learning resources for using micro:bits

Dr Michelle Ellis gives a demonstration of the Edith Cowan University Makerspace visual and general-purpose programming environment. She also shows a range of materials to support the implementation of the Australian Curriculum: Digital Technologies. This includes teaching resources and lesson plans.

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Tutorial: Python

This tutorial provides detailed instructions to support the learning of Python, a general purpose programming language. The tutorial is designed for educators who are learning to use Python.

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Scratch 2.0 tutorial

This tutorial provides step-by-step instructions to support the learning of Scratch, a visual programming language. The tutorial is designed for educators who would like to learn how to use Scratch.

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General-purpose programming languages

This video takes viewers through the transition from visual programming (block-based environments) to general-purpose programming (text based environments). It guides teachers as they assist students to move from block-based programming used in primary schools to general-purpose programming languages used in secondary schools.

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Connecting Digital Technologies to food and fibre - Smart gardens 1

This video explores ways in which students can develop and apply their Digital Technologies knowledge, understanding and skills to create a digital solution through the Curriculum connection of food and fibre. The video is designed for educators who would like to learn how to use a BBC micro:bit to manage the water requirements ...

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Creating a digital start line and finish line with micro:bits: years 7-8

This PDF provides a sequence of activities in which students create algorithms to measure the time taken for a vehicle to travel from a starting line to a finish line. Students connect micro:bits and laser receiver sensors to measure time, then create programs to undertake the timing using visual and general-purpose programming.

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Australian Curriculum: Digital Technologies Years 7-8 Sample Assessment Task: Digital Systems

The Years 7-8 assessment task focuses on digital systems (integrating Digital Technologies and Science). The digital systems assessment task provides a scaffold to teach about and assess students’ understanding of how digital systems can be used to monitor the classroom learning environment. learn how to create environmental ...

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Heads or tails

In this lesson we show how to transition from a visual based programming language to using a text-based programming language using the example of a heads or tails coin toss application.

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Project Quantum: Online assessment system

Project Quantum helps computing teachers check their students’ understanding, and support their progress, by providing free access to an online multiple-choice assessment system and question bank. To use Project Quantum, you will need to create a free account.

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Australian Curriculum: Digital Technologies Years 7-8 Sample Assessment Task: Digital Systems - Student activity guide

The Years 7-8 assessment task focuses on digital systems (integrating Digital Technologies and Science). The digital systems assessment task activity guide can teach and assess students’ understanding of how digital systems can be used to monitor the classroom learning environment. Students will learn how to create environmental ...

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An introduction to artificial intelligence and machine learning

This video is the first of a series of 5 explainers on artificial intelligence. It discusses why it is a challenge for a computer to easily recognise one object from another. Discover how a machine learns using labelled images rather than following a specific set of rules and how AI connects with human learning.