Search results

Downloadable

DT Challenge - 7-8 Python - Turtle

Control a turtle and draw amazing pictures with code. In this challenge you'll learn the fundamentals of programming by using instructions to position a turtle on the screen, drawing lines, patterns and shapes in the same way computers draw images. Computers use the input from users and the environment to give us feedback ...

Text

Digital technology and managing Indigenous astronomical knowledge

Digital technology provides a range of different ways to communicate cultural knowledge and practices, explore a range of digital tools that bring the stars closer to the world of your students. In these classroom activities students will use digital programs like Stellarium to investigate Indigenous astronomical knowledge ...

Downloadable

DT Challenge - 5/6 Blockly - Chatbot

Write programs to solve problems with code and create word games! In this DT Challenge, you'll learn how to play Mad Libs, Questions, Taboo, and Word Chain, and even write your very own Pirate Chatbot! Can you fool your friends into thinking they're talking to a real person? Learn how to create a series of word games with ...

Downloadable

DT Challenge - 5/6 Blockly - Intro to Micro:Bit

Learn how to program a BBC micro:bit using Blockly. No experience required. Learn the basics of programming in Blockly with our full BBC micro:bit simulator.

Text

Digital Citizenship Resources: Online Safety

Find resources related to developing a positive digital footprint, helping students discern the difference in being online and offline, methods of protecting passwords and identity, and strategies for socialising safely.

Online

When I post something online how permanent is it?

Students engage in a photo rip up activity to emphasize the permanency of online information, they explore factor trees, doubling and line graphs through the lens of sharing information, and they collaboratively develop a set of protocols around sharing information online.

Online

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?

Online

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 ...

Online

Seeing the wood for the trees

In this lesson sequence students summarise data using advanced filtering and grouping techniques, for example pivot tables in spreadsheets and aggregation functions in databases.

Online

Getting warmer

This lesson sequence intentionally uses a visual based programming tool to introduce designing and validating algorithms. Those students who complete this task can move to code the result in any text based language with which they are familiar.

Online

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.

Online

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).

Online

The shock of the new

Using four inventions from 1985, this lesson sequence explores the impact of innovation, supporting circumstances, how individuals contribute to change and the importance of addressing benefits as well as risks in the development of new systems.

Online

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'.)

Online

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.

Online

Visual to text coding: Lesson 9

This is the ninth 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 explores creating powerful programs for managing and analysing data, by combining the previous skills of using loops and working ...

Online

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.

Online

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.

Online

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 ...

Online

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.