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Computational thinking cut out cards

This set of printable cards provides definitions of six aspects of computational thinking.

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Expert webinar video: Russell Scott - Vortals: Augmented reality, virtual reality, 2D, 3D and game design lessons

Russell Scott, Co-Founder of multimedia design company Vortals, demonstrates some of the ways he teaches students about augmented reality, virtual reality, 2D, 3D and game design.

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Classroom ideas: Micro:bit environmental measurement (visual and general-purpose programming): years 5-8

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, visual programming and general-purpose programming.

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Scratch 2.0 tutorial

This tutorial provides step-by-step instructions to support the learning of Scratch, a visual programming language. The tutorial is designed for educators who would like to learn how to use Scratch.

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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.

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Activities that promote Digital Technologies concepts and incorporate Numeracy: part 1: Introduction and overview: accessing the Australian Curriculum National Numeracy Learning progression

This video provides an introduction to the ways in which Digital Technologies can be used to develop students' learning in the Numeracy Learning Progression.

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Australian Curriculum: Digital Technologies Years 7-8 Sample Assessment Task: Digital Systems - Student activity guide

The Years 7-8 assessment task focuses on digital systems (integrating Digital Technologies and Science). The digital systems assessment task activity guide can teach and assess students’ understanding of how digital systems can be used to monitor the classroom learning environment. Students will learn how to create environmental ...

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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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Coding for GUIs (JavaScript edition): Index page

This lesson sequence provides step-by-step video tutorials and challenges to incorporate Graphical User Interfaces (GUIs) into your General Purpose Programming. It follows on from the Visual To Text Coding lesson series.

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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: Lesson 4

This is the fourth 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 combining of logical operators and and or for more complex decisions.

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Visual to text coding: Lesson 1

This is the first 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 variables, get user input and perform maths operations.

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Coding for GUIs Lesson 4: Flipping images

This is the fourth in a series of lessons to incorporate graphical user interfaces (GUIs) into your general-purpose programming. The series follows on from the Visual to text coding lesson series.

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Micro:bit missions: Take a chance on me (Integrating Mathematics): years 6-8

This resource comprises two activities that allow students to explore the concept of chance in Mathematics. Students use computational thinking while using a micro:bit as a digital system to generate and collect data. Students implement programs involving branching and iteration in visual and general-purpose programming languages.

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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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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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DT Challenge - 5/6 Blockly - Biology

Learn about the differences between animals, and how Biologists use programming to help them do science! We'll learn about the features of animals, structural and behavioural adaptation, and how to use these properties in order to identify them. So hop in and learn some science! This course is based on the Year 5 science ...

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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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DT Challenge - 7/8 Python - Introduction to Microbit

In this challenge students use the BBC micro:bit as an embedded system to create different pieces of a virtual pet game. Students in the process learn about the micro:bit’s features and can think about how to make their own version of a virtual pet game, or even an entirely new project. Discover how embedded hardware (micro:bit) ...

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DT Challenge - 7/8 Javascript - Space Invaders

In this coding challenge, students learn about programming in JavaScript, including data representation, decomposition, design, branching, iteration, functions, variables, animations, tracing and evaluation.