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• TLF-IDA003352

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.

• TLF-IDA003355

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 ...

• TLF-IDA002722

In this lesson students engage in a hands-on exploration of local diversity. Students research and record local wildlife, learn about biodiversity in Australia, and conduct a ‘bush blitz’. They learn how to create dichotomous keys and translate their keys into a wildlife discovery app prototype. The resource includes links ...

• TLF-IDA003622

Use Python to program a micro:bit for sport! Get excited about coding even if you have no experience. You'll use the Python language to write your own programs, and make interactive games and tools to improve your health.

• TLF-IDA002812

Explore the different types of bees common to Australia, their features including how they are different to flies and wasps. We will focus on native bees, specifically to learn about their nesting habitat. This learning activity is the first part of a sequence of 2 individual learning activities focused on creating a bee ...

• TLF-IDA003482

By gathering data on marine turtles, scientists have evidence that helps them work out where turtles migrate and the journeys they take. Scientists can then help to reduce the threats to the turtles’ survival. In this lesson we look at satellite tracking using real scientific data. Explore ways to model, interpret, represent ...

• TLF-IDA002398

This article explores the challenges associated with using knowledge from different domains (and people) to work on a common problem, issue or puzzle. It acknowledges that the differences in how disciplines structure their knowledge raise challenges when working across disciplinary boundaries. The article identifies these ...

• TLF-IDA003333

This learning sequence explores text analysis through Natural Language Processing, a significant application of Artificial Intelligence. Teachers and students are led through a series of video tutorials to develop a Python program that can break down and analyse the content of a complete text and use smart sentiment analysis ...

• TLF-IDA003341

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.

• TLF-IDA003344

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).