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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.

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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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How can AI recognise what it sees?

This lesson is an introduction to the way in which a computer sees. It focuses on image recognition that involves feature extraction, object detection and classification. This lesson was developed in collaboration with Dr Karsten Schulz, Digital Technologies Institute.

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AI ethics - What's possible, probable and preferred?

The development and ubiquity of Artificial Intelligence raise a number of social and ethical matters that students can explore in the Digital Technologies classroom. This lesson idea outlines a project to help students frame such discussions using the curriculum Key Idea of Creating preferred futures, tying into Critical ...

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Analysis of AI applications, drawing on ethical understandings

This lesson plan explores the ethical aspects of artificial intelligence and the implications on our future lives. This lesson was developed by the Digital Technologies Institute in collaboration with the DT Hub.

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Home automation: General purpose programming

Investigate home automation systems, including those powered by artificial intelligence (AI) with speech recognition capability. These suggested activities for year levels 7-8 are designed for students using general purpose programming languages JavaScript and Python, with similar content to the visual coding lesson Home ...

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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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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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Anti-bullying AI

Sometimes we write and post things on social media in a hurry. Such posts can hurt people and even make them feel bullied. Wouldn't it be great if an Artificial Intelligence application could check our posts as we write them, and warn us if they were potentially hurtful?

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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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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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Visual to text coding: Index page

This lesson sequence provides a bridge between visual coding (eg. Scratch) and General Purpose Programming languages (eg. Python or JavaScript). This resource is most suitable if you have never done General Purpose Programming and/or you benefit from slow-paced, step-by-step video tutorials.

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Hot or not?

This lesson sequence focuses on the incremental or Agile approach to development and encourages students to follow the evolution of a temperature conversion tool for a Food Technology teacher. It uses an Excel spreadsheet application as the prototyping tool.

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Check out the checkout

This sequence of lessons explores how to incorporate user input, decision-making and loops in programming using the context of a shopping experience, particularly the checkout. It combines data in the form of a barcode and programming choices.

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Everything you always wanted to know…

In this lesson sequence students design, build and evaluate their own database and perform queries and build reports based on that database. Students should have prior experience creating a flat file database.

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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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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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Basic ball control with Sphero

Students are introduced to Sphero and its main features – direction, speed and colour. This lesson allows students to experiment through playing with Sphero and controlling it with the Sphero app. This lesson idea was created by Steven Payne.

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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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Learning environments

This sequence of lessons explores how conditions in the environment can impact on learning. Through investigating the environmental influences on our classroom, and learning environments such as light, noise and temperature, students collect data and identify the optimal learning environment.