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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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Hologram poetry lesson

In this lesson, students are asked to present a poem as a visual illusion. They explore holograms and visual illusions, and then delve into the mechanics of poetry construction by exploring the poetry of Banjo Paterson. They write their own poem or recite a poem and create a hologram illusion of themselves reciting a poem. ...

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Growing healthy plants using natural pesticides

Plants are vulnerable to pests and diseases. This learning activity is designed for children to: understand how to cultivate healthy plants using organic gardening methods; look to natural ingredients as a solution to ridding plants of unwanted pests and diseases; and know how to make a natural pesticide and evaluate the ...

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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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Seven seasons

In this lesson sequence students investigate the CSIRO indigenous seasons calendars and produce a searchable database that will capture data using two data sources.

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Cross age making a robot

This lesson sequence is a cross-age project that can be used for students in year 5/6 in collaboration with students from years 1-2. In this project, students collaborate on a code for an unplugged robot. They design, test and modify the robot and create instruction manuals.

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Behaving with real class - Using a text-based language

This lesson sequence offers an approaches to teaching object-oriented principles using text-based programming. It attempts to address the problem that many of programming languages are too complex and their environments confusing for many students.

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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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Spreadsheets come alive

In this lesson sequence use the ‘Odds and evens’ problem as a springboard. Students construct interactive spreadsheets designed to address particular needs. This lesson also demonstrates an approach to programming known as rapid application development (RAD).

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Untold education project: The invisible farmer

Invisible Farmer is the largest ever study of Australian women on the land. The project collects oral histories of women by creating interview-based video content. This website provides videos ,interview questions and suggestions to support teachers to guide students to create their own multimodal stories of women on the land.

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Coding a sentimental chatbot in Python

Incorporating 11 tutorial videos and two informative lecture videos, this learning sequence explores natural language processing, a significant application of artificial intelligence. Teachers and students are led through the coding in Python of a chatbot, a conversational program capable of responding in varied ways to ...

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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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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 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 7

This is the seventh 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 iteration (also called loops).

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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 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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Systems Thinking and AI applications

This lesson takes a systems thinking approach to understanding the place of artificial intelligence (AI) as a component within solutions to real world problems, such as predicting bushfire hotspots, spotting and monitoring animals in the wild, automated horticulture and agriculture, and early detection of medical issues.