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• TLF-IDA002155

This video explores ways in which students can develop and apply their Digital Technologies knowledge, understanding and skills to create a digital solution through the Curriculum connection of food and fibre. The video is designed for educators who would like to learn how to use a BBC micro:bit to manage the water requirements ...

• TLF-IDA002182

This tutorial provides detailed instructions to support the learning of Python, a general purpose programming language. The tutorial is designed for educators who are learning to use Python.

• TLF-IDA002190

This tutorial shows ways in which environmental factors such as lighting and temperature can be measured and improved using micro:bits and sensor boards, and programmed using pseudocode, visual programming and general-purpose programming.

• TLF-IDA002196

This Word document provides sequences of achievement standards for the Technologies learning area in the Australian Curriculum

• TLF-IDA002200

This three-page document gives suggestions for selecting and organising Digital Technologies resources, including physical equipment, unplugged activities and online links. It includes a simple template that may be helpful in documenting these.

• TLF-IDA002206

This tutorial provides step-by-step instructions to support the learning of Scratch, a visual programming language. The tutorial is designed for educators who would like to learn how to use Scratch.

• TLF-IDA002210

This video demonstrates ways in which data can be structured in spreadsheets. It is the third in a series of four.

• TLF-IDA002216

This PDF provides a line of sight from content descriptions to achievement standards in the Digital Technologies subject in the Australian Curriculum.

• TLF-IDA002226

These matrices allow teachers to self-assess their proficiency with Digital Technologies. They include a notes section for teachers to plan future professional learning.

• TLF-IDA002244

This article explores the concept of computational thinking within computer science learning and in relation to other learning areas. The authors assert that because of its focus on analysis, computational thinking is not only suitable for computation but also the development of systems-based on computation.