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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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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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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 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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.