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• TLF-IDA002303

This newsletter from the Digital Technologies in Focus project includes information about schools' projects, assessment tasks, artificial intelligence, augmented and virtual reality, the Australian Curriculum, and useful resources.

• TLF-IDA002264

Simon Collier, Digital Technologies in Focus Curriculum Officer, takes viewers though a lesson from the Digital Technologies Hub exploring how machine learning can be used to organise photographs.

• TLF-IDA002275

Martin Richards manages the Digital Technologies Hub. He discusses the relationship between artificial intelligence and the Australian Curriculum: Digital Technologies. Martin also shows some useful resources for teachers.

• TLF-IDA003036

This video is the first of a series of 5 explainers on artificial intelligence. It discusses why it is a challenge for a computer to easily recognise one object from another. Discover how a machine learns using labelled images rather than following a specific set of rules and how AI connects with human learning.

• TLF-IDA003364

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 ...

• TLF-IDA003101

This lesson builds on How can an AI recognise what is sees? It focuses on image recognition that involves feature extraction, object detection and classification, and introduces the idea that computers store and use data using 0s and 1s.

• TLF-IDA003363

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?

• 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.

• TLF-IDA003362

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.

• TLF-IDA003365

A hands-on activity to practise training and testing an artificial intelligence (AI) model, using cartoon faces, including a discussion about sources of potential algorithmic bias and how to respond to these sources.