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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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Creating a wildlife habitat: planting

This learning activity is the fourth part of a sequence of 5 individual learning activities focused on creating a wildlife habitat. The order of these learning activities are: research, vision, design, planting and monitoring and care. OUTCOMES of this learning activity are for children to: understand the steps involved ...

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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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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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Water for wildlife

With Australia’s changing climate we need to adapt to our altering conditions. This is challenging but also possible for humans through behaviour change and infrastructure change (too advanced?) but not quite so easy for our precious wildlife. While water is considered renewable as it functions as part of a water cycle, ...

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Assess your classroom environment

Not every classroom is specifically designed to respond to the needs of all students. Using this interactive questionnaire, audit a classroom environment and create a task list of simple changes that can be made to create a more space inclusive for neurodivergent students.

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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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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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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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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.

Downloadable

PyGame in a Day

As a general purpose programming language, python has a number of libraries that can be used for different purposes. PyGame is a free and open source python library that makes it easier to make multimedia applications like games.

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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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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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Visual to text coding: Lesson 5

This is the fifth in a series of lessons to transition from visual coding to text-based coding with a general purpose programming language. This lesson may take two to three 45-minute periods. It introduces how to create and use arrays (also called lists).

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Visual to text coding: Lesson 9

This is the ninth in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. This lesson may take two to three 45-minute periods. It explores creating powerful programs for managing and analysing data, by combining the previous skills of using loops and working ...

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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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Turtles: exploring data tracking turtle movements

By gathering data on marine turtles, scientists have evidence that helps them work out where turtles migrate and the journeys they take. Scientists can then help to reduce the threats to the turtles’ survival. In this lesson we look at satellite tracking using real scientific data. Explore ways to model, interpret, represent ...

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digIT Games workbook

This lesson will help students develop a basic understanding of computer programming structures by using block language Scratch. It will also introduce student to using Python with the Makey Makey electronic input device to create a game controller.

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How to teach digital citizenship and online safety - Scope and sequence Australian curriculum

This resource provides links to lessons and activities at each level of schooling from Foundation to Year 10 in the area of online safety.