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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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Automated soil moisture sensor

The soil moisture sensor project integrates science understandings and computational thinking to solve a problem about sustainable watering practices. This lesson was devised by Trudy Ward, Clarendon Vale Primary School, Tasmania.

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Visual to text coding: Lesson 11

This is the eleventh in a series of lessons to transition from visual coding to text-based coding with a General Purpose Programming language. It builds on the coding concept of functions. With the addition of parameters, functions allow the programmer to adapt their reusable code’s behaviour, tapping into the Computational ...

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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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Visual to text coding: The Basics

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 the basics in order to use the programming environments: Scratch, Python and JavaScript.

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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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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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Beautiful biomes

In this lesson students learn the features of the five main biomes, and use ClassVR headsets and CoSpaces to design and create a virtual biome to explore. They research and identify the features of a biome and then create their own virtual environment. The resource explores the human impacts on biodiversity and explore ...

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Visual to text coding: Lesson 3

This is the third 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 generate and use random numbers.

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Sphero: Catch me if you can

By years 5 and 6 many students may have had some experience with a visual programming language such as Scratch or Blockly that is the basis of the Hour of Code. Sphero will take the screen based control of an image to the next level by introducing a robotic device controlled by a visual programming language. This lesson ...

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Choose your Ozo adventure

Using Ozobots students use and develop unusual types of data: Redefining “What is data?”. This lesson idea was created by Ben Jucius.

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Visual to text coding: Lesson 6

This is the sixth 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 builds on the previous introduction to arrays (also called lists) and brings in the length property.

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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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Visual to text coding: Lesson 2

This is the second 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 make decisions (branching) and identify data types.

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Note the music

We can program a computer to play music. Conventionally this is done by hard coding, which is the process of coding all possible expected behaviours. Alternatively, we can train an artificial intelligence (AI) computer about what notes go well with others, so it can play a duet with a human musician. Students can make their ...

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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'.)

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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 ...