F-10 Curriculum (V8)
F-10 Curriculum (V9)
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This infographic provides an overview overview of the concepts related to computational thinking.
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 ...
This set of printable cards provides definitions of six aspects of computational thinking.
This video demonstrates ways in which data can be authenticated in spreadsheets. It is the second in a series of four.
This video demonstrates ways in which data can be structured in spreadsheets. It is the third in a series of four.
This video provides an overview of computational thinking and how it can be taught in the context of other learning areas.
This PDF presents content descriptions and achievement standards for the Digital Technologies subject in the Australian Curriculum
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.
The Years 7-8 assessment task focuses on digital systems (integrating Digital Technologies and Science). The digital systems assessment task provides a scaffold to teach about and assess students’ understanding of how digital systems can be used to monitor the classroom learning environment. learn how to create environmental ...
This resource provides strategies for assessing students' understanding of the ways in which data can be sourced, organised and represented to maximise options for analysis, evaluation, decomposition and visualisation in order to create digital solutions. The context of the resource is the liveability of the places in which ...
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'.
This PDF uses colour coding to provide a line of sight between key concepts, content descriptions and achievement standards in the Digital Technologies subject in the Australian Curriculum.
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.
In this video, Professor Tim Bell discusses helpful ways of understanding and teaching computational thinking, a key idea of the Australian Curriculum: Technologies.
This planning resource for Year 8 is for the topic of Statistical analysis. Students focus on understanding that random samples chosen from large populations can show quite different distributions and proportions when compared with each other. Students make connections when different sample sizes are or can be responsible ...
The number of eggs a female turtle lays in her lifetime influences the health of that species population. In this lesson we look at modelling data related to the number of eggs a female turtle lays in her lifetime, using real scientific data. Explore ways to model, interpret, represent and present data, creating an infographic ...
The Western Australian Marine Science Institution has been collecting data about dugongs off the coast of the Kimberley in Northern WA. We have been provided with the raw data from its sightings trips. In this project students will learn how dugong sightings are conducted, and develop the data-science skills needed to make ...
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The lesson follows an inquiry process in which students use a dataset to answer relevant questions about the turtle population. They consider how to analyse and display the data in order to effectively examine the impact of rising global temperatures on flatback turtle populations.
This video demonstrates ways in which data can be analysed and visualised. It is the final in a series of four.