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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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Game design

This sequence of lessons integrates game design using scratch and a Makey Makey programming board.

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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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Systems Thinking and AI applications

This lesson takes a systems thinking approach to understanding the place of artificial intelligence (AI) as a component within solutions to real world problems, such as predicting bushfire hotspots, spotting and monitoring animals in the wild, automated horticulture and agriculture, and early detection of medical issues.

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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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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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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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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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Scratch Creative Computing Guide

There is also a series of units comprising learning activities, paired with assessment activities and templates that can be used to support use of the Scratch (MIT) platform. The Scratch Creative Computing Guide supports assessment activities with visual programming environments.

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Sphero maze

This lesson will explore how to program the Sphero using functions and show the benefits of decomposing the behaviour of the Sphero into functions, instead of writing line by line repeated behaviours. This lesson idea was created by Claudia Szabo.

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Saltwater crocs: resourceful or a resource?

This lesson focuses on the analysis of a dataset that records scientific data collected about the crocodile population in the Kimberley region during 2015. The lesson follows an inquiry process where students use the dataset to answer relevant questions about the crocodile population. It also provides an opportunity for ...

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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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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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Turtles: exploring data in turtle population dynamics

The number of eggs a female turtle lays in her lifetime influences the health of that species population. In this lesson we look at modelling data related to the number of eggs a female turtle lays in her lifetime, using real scientific data. Explore ways to model, interpret, represent and present data, creating an infographic ...

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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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When I post something online how permanent is it?

Students engage in a photo rip up activity to emphasize the permanency of online information, they explore factor trees, doubling and line graphs through the lens of sharing information, and they collaboratively develop a set of protocols around sharing information online.

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Coding a sentimental chatbot in Python

Incorporating 11 tutorial videos and two informative lecture videos, this learning sequence explores natural language processing, a significant application of artificial intelligence. Teachers and students are led through the coding in Python of a chatbot, a conversational program capable of responding in varied ways to ...

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Visual to text coding: Lesson 11

This is the eleventh in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. It builds on the coding concept of functions. With the addition of parameters, functions allow the programmer to adapt their reusable code’s behaviour, tapping into the Computational ...

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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: 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).