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Sphero Invent a Game

This lesson will explore how to program the Sphero using functions and show the benefits of decomposing the behaviour of the Sphero into functions, instead of writing line by line repeated behaviours. This lesson idea was created by Celia Coffa.

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Light up soft toy with LilyPad

This project will explore two ways of controlling the flow of current to a LED using a button and switch. No programming is initially expected in this project, however once students are comfortable with connecting or sewing their circuits and attaching lights, a follow-up project that involves using a pre built Arduino ...

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Lilypad Personalised Alert Buzzer

In this lesson students will create a personalised musical buzzer by programming the LilyPad Arduino to play a sound using the Main board, Buzzer and Button, coding the note frequency in Arduino IDE. The lesson can be extended to include LED’s that light up or flash according to the note played to enable the buzzer to be ...

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Coding for GUIs Lesson 2: Controls for input

This is the second 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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Goldilocks, the Three Bears and BeeBot

Students explore a sequence of steps using Bee-Bots in the context of familiar narratives. They navigate a Bee-Bot to events within the story, first as a whole class and then in small groups. This activity can be integrated with English and the exploration of narratives. This lesson idea was created by Rebecca Vivian.

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Getting to know Bee-Bot

Students are introduced to the Bee-Bot as a robotic device. They learn about what the Bee-Bot is, the functions and how the Bee-Bot can be used for specific purposes. They learn how to develop a sequence of steps for the Bee-Bot to follow. This lesson idea was created by Rebecca Vivian.

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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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Data compression

Students will learn how the information in a pixel can be manipulated to change the image, and apply a bitmask filter to an image to remove some information and reduce the memory size of the file. Finally, students will modify the filter to find a balance between quality and small file size. Based on the original lessons ...

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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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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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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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Coding for GUIs Final project: A complete application with GUI

This is the final project 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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AI quiz

This lesson provides an opportunity for students to draw on their ethical understanding when asked to respond to different scenarios. The scenarios feature information systems that incorporate an AI application. Students are given four options to select which one they believe to be the ‘right’ thing to do. Students develop ...

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Can an AI recognise what you are drawing

This lesson provides an opportunity to incorporate representation of data using a relevant context being studied in the classroom. Students represent an object using a line drawing, focusing on the features of the object that enable it to be easily recognised. Students experiment with creating representations using an AI ...

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Game design

This sequence of lessons integrates game design using scratch and a Makey Makey programming board.

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Coding for GUIs Lesson 5: GUIfy my program!

This is the fifth 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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Pencil code program: Lady MacBeth Chat Bot

Use this program to create an interactive chat bot who answers questions as if she is Lady Macbeth. Have students analyze, fill in or change parts of, or use the program to create their own variation and rendition of a character. This program could be used to further your understanding of how you could use Pencil Code in ...

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Protecting dugongs

The Western Australian Marine Science Institution has been collecting data about dugongs off the coast of the Kimberley in Northern WA. We have been provided with the raw data from its sightings trips. In this project students will learn how dugong sightings are conducted, and develop the data-science skills needed to make ...

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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.

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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.