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Food innovation and molecular gastronomy lesson

In this lesson, students explore connections between science, design, and technologies through the lens of food innovation and food science. Students look at interesting and unusual food products, using food textures as a jumping off point to explore the relationship between chemistry and food. Students then experiment ...

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Curzon & Bell et al. review: Computational thinking

This article explores the concept of computational thinking within computer science learning and in relation to other learning areas. The authors assert that because of its focus on analysis, computational thinking is not only suitable for computation but also the development of systems-based on computation.

Video

DTiF in conversation with Kevin Bradley and Cassandra Arkinstall from Save the Bilby Fund – Using Digital Technologies to help save bilbies

Kevin Bradley, CEO of Save the Bilby Fund, and Cassandra Arkinstall, a researcher and volunteer at Save the Bilby Fund explain how important digital technologies are in the campaign to save the bilby from extinction. The video explains how digital systems are used to collect and visualise data and help eradicate threats ...

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Expert webinar video: Dr Rebecca Vivian - The CSER Digital Technologies Education Program

Dr Rebecca Vivian provides an overview of the CSER Digital Technologies Education Project from The University of Adelaide. The project includes free professional learning, a digital equipment lending library and a range of resources designed to support teachers in the implementation of the Australian Curriculum: Digital ...

Online

Creating a bee hotel: construction

As we clear land for urban development, and for broadacre farming, we remove the spaces where bees nest and find their food. With no food, and nowhere to produce their young, native bee populations are under threat of local extinction. In this activity, we will look at providing nesting spaces for native bees which mimic ...

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Newsletter – December 2018

This newsletter from the Digital Technologies in Focus project includes information about schools projects, the Australian Curriculum, and useful resources.

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Faith Lutheran College – Timeline

This document presents the milestones in Faith Lutheran College's participation in the Digital Technologies in Focus project.

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Faith Lutheran College – – Final report

This report provides details of Faith Lutheran College's participation in the Digital Technologies in Focus project, including a Research question, criteria for success, data collection, resources, challenges, milestones and next steps.

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Mossman State School – PL ecosystem

This document illustrates the network of people and resources that make up Mossman State School's Professional Learning ecosystem.

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Mossman State School – Final report

This report provides details of Mossman State School's participation in the Digital Technologies in Focus project, including a Research question, criteria for success, data collection, resources, challenges, milestones and next steps.

Online

Understanding weeds: investigation

In this activity you will be looking for weeds in your local park, backyard and surrounds. Build your knowledge and weed investigation skills as you explore your local environment and examine the presence of weeds. Using online resources, field guides and expert local knowledge, you will be looking at and identifying weeds ...

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Bethany Christian School – Project proposal

This PDF outlines Bethany Christian School's proposal to participate in the Digital Technologies in Focus project.

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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.

Interactive

Safe Crossing Creator - Minecraft: Education Edition

A game for students to understand how to be safe when using railway and tram crossings. Students will read stories of characters, interpreting the unsafe behaviour shown and creating/placing a sign to remind all crossing users of the safe behaviour. As a learning artefact students produce a report detailing the unsafe ...

Online

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?

Online

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 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 ...

Online

Beeswax wrap project

This project creates opportunities for students to design, create, market and sell a plastic wrap alternative, and to work with a local business or community group that supplies some materials. This lesson was devised by Trudy Ward, Clarendon Vale Primary School, Tasmania.

Online

My digital portfolio

Students create their own website to record and present their learning. As part of the process students respectfully and constructively comment on each other’s webpage.

Online

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.