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Listed under:  Technologies  >  Information and communication technologies  >  Data processing  >  Artificial intelligence
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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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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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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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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.

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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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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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Filter bubbles, bias, rabbit holes and nudging

This lesson focuses on the AI systems that recommend content in various applications that students use on a day-to-day basis. It draws on students’ ethical understandings during analysis of these systems. This lesson was developed by the Digital Technologies Institute in collaboration with the Digital Technologies Hub.

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DTiF Classroom Exploring AI in the Classroom: Activity discussion

Digital Technologies in Focus curriculum officers discuss a lesson about Artificial Intelligence with Simon Collier and a student.

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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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Newsletter – July 2020

This newsletter from the Digital Technologies in Focus project includes information about schools' projects, assessment tasks, artificial intelligence, augmented and virtual reality, the Australian Curriculum, and useful resources.

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DTiF Classroom Exploring AI in the Classroom: Teacher debrief

Digital Technologies in Focus curriculum officers discuss a lesson about Artificial Intelligence and curriculum links for teachers

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Expert webinar video: Martin Richards: AI, AR and VR F–10 and links to the Australian Curriculum: Digital Technologies

Martin Richards manages the Digital Technologies Hub. He discusses the relationship between artificial intelligence and the Australian Curriculum: Digital Technologies. Martin also shows some useful resources for teachers.

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Newsletter – June 2021

This newsletter from the Digital Technologies in Focus project includes information about schools' projects, assessment tasks, artifical intelligence (AI), the Australian Curriculum, useful links, and resources.

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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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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 ...

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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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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.