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Listed under:  Technologies  >  Information and communication technologies  >  Data processing  >  Artificial intelligence
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Can an AI recognise what you are drawing

This lesson provides an opportunity to incorporate representation of data using a relevant context being studied in the classroom. Students represent an object using a line drawing, focusing on the features of the object that enable it to be easily recognised. Students experiment with creating representations using an AI ...

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Home automation: General purpose programming

Investigate home automation systems, including those powered by artificial intelligence (AI) with speech recognition capability. These suggested activities for year levels 7-8 are designed for students using general purpose programming languages JavaScript and Python, with similar content to the visual coding lesson Home ...

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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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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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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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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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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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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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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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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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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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Artificial Intelligence Explainers: Video 2: AI in our everyday life | Digital Technologies Hub

In this video we look at the ways AI is making decisions that can affect your daily life. Discover some AI applications that are designed to make our lives easier. See how a machine can be considered smart as it performs human-like behaviours such as recognising speech, text, images and being able to reason. This is the ...

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Artificial Intelligence Explainers: Video 3: AI systems | Digital Technologies Hub

We use examples of home automation and recommender systems to go into more detail about how the AI in these systems work. We also look at filter bubbles and discuss why its important to be aware of potential issues of using these systems. This is the third video in a series. The first two in the series are Introduction ...

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Imagining other uses for robotics technology

It's cool to program robots to play football, but there are many more useful applications for programming robots to react to what they are seeing. What are some of the examples David McKinnon gives? Can you think of some more examples?

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Computing turns 60

This is a collection of eight articles that mark the 60th anniversary of the first computer in an Australian university. The series covers topics from the history of computing, its role in studying global health or species conservation, and how computers can help understand the brain.

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Robotics: STEM careers

This is a unit of work about Robotics, the occupations and industries that use robotics and the current applications and future of robotics. The resource includes: An introduction with teacher notes, student tasks, embedded videos and links to additional resources. Specific topics explored include: What is a robot; applications ...

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The Conversation: Algorithm

A series of explanatory articles about how algorithms work, be it applied to chess, the spread of social media, art, conservation, or artificial intelligence. Articles are authored by recognised experts on the topic. Resource can be used to develop a broad understanding of algorithms and their role in everyday life. The ...