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• TLF-IDA002178

This PDF provides activities for collecting, analysing and representing data about litter in the local community. It prompts students to consider the implications of rubbish in the local environment, and suggests actions students can take in order to reduce litter.

• TLF-IDA002192

This resource provides examples of ways Aboriginal and Torres Strait Islander Histories and Cultures can be integrated into Digital Technologies. Examples include 'classification and sorting data' and 'designing solutions'.

• 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-IDA002448

Game Builder is an online resource for teachers and students making their very first videogame, and for those who have some experience already. There’s more to a good game than good code! As with most creative projects, success comes from good ideas and thorough preparation. This resource will take you through the building ...

• 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.

• TLF-IDA002250

This report examines the similarities and differences in the understandings about STEM education between experts and the general public in some American states. The authors contend that one of the most interesting findings is the role of Science: the general public equates STEM as Science, whereas the experts view all STEM ...

• TLF-IDA002270

In this video, Professor Tim Bell discusses helpful ways of understanding and teaching computational thinking, a key idea of the Australian Curriculum: Technologies.

• 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-IDA003470

Collect data on the biodiversity in garden beds around your school to measure the biodiversity (that is the different types of plants and animals). Explore ways to represent and present data. This lesson was devised by Linda McIver, Australian Data Science Education Institute.

• TLF-IDA003413

During this lesson, students will be required to consider the functions of the Bee-Bot and how a user can interact with this device. Students are asked to design a course challenge for another user which will result in the Bee-Bot, with a pin attached, reversing into a balloon to pop it. This lesson idea was created by ...