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Listed under:  Technologies  >  Information and communication technologies  >  Data processing  >  Artificial intelligence
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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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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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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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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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Home automation with AI

Home automation is all the rage. You talk to your mobile phone to control the lights, the fan, the air conditioner, or your pool pump. But how does it work? In this lesson, we explore the AI that could power a home automation system.

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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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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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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 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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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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Fun projects with language translation

Natural language processing is growing in importance. We often converse with automatic chatbots for customer service without even knowing. We also use online translation services or mobile apps. But how do these services work? Is there artificial intelligence (AI) in them? Three projects are offered to cater for student ...

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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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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 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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Note the music

We can program a computer to play music. Conventionally this is done by hard coding, which is the process of coding all possible expected behaviours. Alternatively, we can train an artificial intelligence (AI) computer about what notes go well with others, so it can play a duet with a human musician. Students can make their ...

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DTiF Classroom Exploring AI in the Classroom: Activity

Simon Collier, Digital Technologies in Focus Curriculum Officer, takes viewers though a lesson from the Digital Technologies Hub exploring how machine learning can be used to organise photographs.

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AI and image recognition

This lesson builds on How can an AI recognise what is sees? It focuses on image recognition that involves feature extraction, object detection and classification, and introduces the idea that computers store and use data using 0s and 1s.

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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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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.