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Listed under:  Technologies  >  Information and communication technologies  >  Data processing  >  Artificial intelligence
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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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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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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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Analysis of AI applications, drawing on ethical understandings

This lesson plan explores the ethical aspects of artificial intelligence and the implications on our future lives. This lesson was developed by the Digital Technologies Institute in collaboration with the DT Hub.

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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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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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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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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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Artificial Intelligence Explainers: Video 4: AI Explainers | Digital Technologies Hub

Use this video to discuss how Artificial Intelligence (AI) has the potential to be a transformative technology much like introduction of the car, 100 years ago. We also showcase some innovative Australian applications. This is the fourth video in a series. The first three in the series are Introduction to AI & machine ...

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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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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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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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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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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 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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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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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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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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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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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.