F-10 Curriculum (V8)
F-10 Curriculum (V9)
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This resource comprises two activities that allow students to explore the concept of chance in Mathematics. Students use computational thinking while using a micro:bit as a digital system to generate and collect data. Students implement programs involving branching and iteration in visual and general-purpose programming languages.
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 and visual programming.
This PDF provides a line of sight from content descriptions to achievement standards in the Digital Technologies subject in the Australian Curriculum.
This video provides suggestions for ways in which Digital Technologies can be used to develop students' learning in the Numeracy Learning Progression.
This PDF includes a self-assessment task for students and a marking guide for teachers.
In this lesson students learn the features of the five main biomes, and use ClassVR headsets and CoSpaces to design and create a virtual biome to explore. They research and identify the features of a biome and then create their own virtual environment. The resource explores the human impacts on biodiversity and explore ...
In this lesson students explore slalom sports and how competitors maximise speed when completing a course. Students research different slalom sports and then share their findings with the class. Students investigate the impact of distance and friction on time to complete a course through digital and unplugged activities. ...
Find out about Maker spaces. Use this topic from the Digital Technologies Hub to learn more, get ideas about how to teach about it, find out what other schools are doing and use the applications and games in the classroom.
This unit of work introduces students to the potential of digital technologies to manage and conserve water resources in Australian agriculture. It assumes that students and teachers have little or no prior programming experience and provides a series of introductory activities to build students' understanding of the basic ...
In this sequence of lessons, students design a sequence of steps for others to follow. They convey their instructions to peers and evaluate the work of others to determine if the outcome was successful.
This is a unit for Year 5 from the Scope and sequence resources from the DT Hub. The topic of creating a digital solution is organised into four key elements. Use this flow of activities to plan and assess students against the relevant achievement standards. Students follow the problem solving process to design and create ...
This set of printable cards provides definitions of six aspects of computational thinking.
This resource provides strategies for assessing aspects of the Digital Technologies subject in the Australian Curriculum that relate to data using contexts from other learning areas and General Capabilities, including Science, Mathematics, Numeracy and Literacy. The resource includes an assessment planner and rubric, as ...
This comprises a collection of sample activities that incorporate visual programming (Scratch) into teaching and learning programs. They show the possibilities Scratch offers for integration. The projects are incomplete and are designed to be used as samples for inspiration or modification by teachers.
This PDF outlines a way in which students can use micro:bits and magnets to create and program metal detectors.
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.
This PDF provides a line of sight from content descriptions to achievement standards.
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.