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• TLF-IDA003151

This planning resource for Year 5 is for the topic of Possible outcomes. Students list the possible outcomes of chance experiments involving equally likely outcomes and compare to those which are not equally likely.

• 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-IDA003347

This series of lessons is to help students to transition from visual coding to text-based coding with a general-purpose programming language. This section provides the basics in order to use the programming environments: Scratch, Python and JavaScript.

• TLF-IDA003368

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'.)

• TLF-IDA003392

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.

• TLF-IDA003428

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.

• TLF-IDA003461

The soil moisture sensor project integrates science understandings and computational thinking to solve a problem about sustainable watering practices. This lesson was devised by Trudy Ward, Clarendon Vale Primary School, Tasmania.

• TLF-IDA003465

Students create algorithms with a condition that tells the computer to repeat a sequence of instructions.

• TLF-IDA003469

This lesson focuses on the analysis of a dataset that records scientific data collected about the crocodile population in the Kimberley region during 2015. The lesson follows an inquiry process where students use the dataset to answer relevant questions about the crocodile population. It also provides an opportunity for ...

• TLF-IDA003366

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.