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Wodonga South Primary School

Wodonga South Primary School caters for students in years F-6 and has approximately 540 students. Simon Collier is the curriculum officer who works with the school to support implementation of the Australian Curriculum: Digital Technologies. Teachers at the school have chosen to focus their project on professional learning ...

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DIY micro:bit metal detector: years 5-6

This PDF outlines a way in which students can use micro:bits and magnets to create and program metal detectors.

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Classroom ideas: Micro:bit environmental measurement (visual programming): years 5-6

This tutorial shows ways in which environmental factors such as lighting and temperature can be measured and improved using micro:bits and sensor boards, and programmed using pseudocode and visual programming.

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Digital Technologies resource types and resource mapping template

This three-page document gives suggestions for selecting and organising Digital Technologies resources, including physical equipment, unplugged activities and online links. It includes a simple template that may be helpful in documenting these.

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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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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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Visual to text coding: Lesson 10

This is the tenth 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 the coding concept of functions. Functions can help organise code, reduce repetition and more to be explored later.

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Visual to text coding: Setting Up

This series of lessons is to help students to transition from visual coding to text-based coding with a general-purpose programming language. This section provides guidance on how to set-up the particular programming environment including Scratch, Python and JavaScript.

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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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Scratch Creative Computing Guide

There is also a series of units comprising learning activities, paired with assessment activities and templates that can be used to support use of the Scratch (MIT) platform. The Scratch Creative Computing Guide supports assessment activities with visual programming environments.

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Visual to text coding: Lesson 8

This is the eighth 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 brings together skills from the previous lessons to design and develop a Higher Lower game, where the player tries to guess ...

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Ciphering a sentence

A cipher is a message that has been written in such a way (encoded) that it is unreadable by others. In this lesson, students will use mapping to encode a sentence. Students will work with a partner to create an algorithm that describes the encryption process. They will also examine encoded and decoded messages to recognize ...

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Design a flag with Pencil Code

Design your own Australian flag by firstly examining common elements of flags, creating a step by step process (algorithm) to program your design after exploring a ‘block-based’ turtle drawing program such as Pencil Code.

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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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Project Quantum: Online assessment system

Project Quantum helps computing teachers check their students’ understanding, and support their progress, by providing free access to an online multiple-choice assessment system and question bank. To use Project Quantum, you will need to create a free account.

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Describing an everyday object

In this lesson, students act like the inventor of an everyday object that does not yet exist. Students abstract the essential details, and describe what need would be fulfilled by the new object and how, specifically, it functions. They will then translate the description into a format appropriate for modeling the object ...

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Visual to text coding: Lesson 12

This is the final in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. See next steps for suggested courses and learning sequences after this lesson. It builds on the coding concept of functions (by introducing the concept of return values. Functions are ...

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Turtles: exploring data in turtle population dynamics

The number of eggs a female turtle lays in her lifetime influences the health of that species population. In this lesson we look at modelling data related to the number of eggs a female turtle lays in her lifetime, using real scientific data. Explore ways to model, interpret, represent and present data, creating an infographic ...

Online

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'.)

Assessment

Pixels and binary digits

Students are given a bitmap image made up of coloured pixels. They explain how the image is made up of binary digits that represent each pixel. Students represent 8 colours using binary digits. Teachers assess the student’s demonstrated knowledge/skills using the checklist provided.