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• TLF-IDA003073

Strategies to support Languages teachers to implement the CLIL approach at secondary level

• TLF-IDA004199

This work sample demonstrates evidence of student learning in relation to aspects of the achievement standards for Year 5 and 6 Self Introduction. The primary purpose for the work sample is to demonstrate the standard, so the focus is on what is evident in the sample not how it was created. The sample is an authentic representation ...

• TLF-IDA004414

This work sample demonstrates evidence of student learning in relation to aspects of the achievement standards for Year 5 - 6 Italian: Ali di fuoco 3000. The primary purpose for the work sample is to demonstrate the standard, so the focus is on what is evident in the sample not how it was created. The sample is an authentic ...

• TLF-IDA003926

Find insights into mentoring partnership models, the experiences of teachers of languages engaged in mentoring partnerships, and suggestions for developing your own mentoring partnerships. The resource includes a planning template and videos of practice.

• TLF-IDA002309

This newsletter from the Digital Technologies in Focus project includes information about schools projects, the Australian Curriculum, and useful resources.

• 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-IDA002364

This document presents the milestones in Green Hill Public School's participation in the Digital Technologies in Focus project.

• TLF-IDA003098

This is the third 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 generate and use random numbers.

• 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-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?