F-10 Curriculum (V8)
F-10 Curriculum (V9)
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This video provides an overview of computational thinking and how it can be taught in the context of other learning areas.
This video demonstrates ways in which data can be manipulated in spreadsheets. It is the first in a series of four.
Russell Scott, Co-Founder of multimedia design company Vortals, demonstrates some of the ways he teaches students about augmented reality, virtual reality, 2D, 3D and game design.
Dr Karen Joyce from STEM education provider She Maps discusses geospatial mapping and methods for teaching underpinning concepts to primary, secondary and tertiary students. Her presentation provides opportunities to think about how we might teach digital systems, data collection and interpretation to our students in context.
In this resource, students investigate and measure the conditions of planet Earth. They explore temperature, gravity and the needs of living things. Students also discuss how some conditions on Earth are constant, while other conditions regularly change, and how living things have adaptations to survive these changes.
This video demonstrates ways in which data can be structured in spreadsheets. It is the third in a series of four.
This report provides details of Faith Lutheran College's participation in the Digital Technologies in Focus project, including a Research question, criteria for success, data collection, resources, challenges, milestones and next steps.
This set of printable cards provides definitions of six aspects of computational thinking.
This document illustrates the network of people and resources that make up Faith Lutheran College's Professional Learning ecosystem.
This is a comprehensive education package based on of the world's most exciting ecological restoration projects that is happening right now in Western Australia! It features interactive virtual tours, 3D skulls, videos, real-action inquiry projects, research projects, native animal educational card games and activities, ...
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 ...
This infographic provides an overview overview of the concepts related to computational thinking.
This video demonstrates ways in which data can be authenticated in spreadsheets. It is the second in a series of four.
This PowerPoint supports the years 5-6 assessment task, How do digital systems represent data?
This resource provides strategies for assessing aspects of the Digital Technologies subject in the Australian Curriculum that relate to the representation of data in binary code. The resource includes an assessment planner and rubric, as well as links to curriculum and learning resources.
This unit of work engages students in preparing butterfly gardens in their schoolgrounds. It explores scientific entomology, features of insects (including butterflies), the contributions that butterflies make to a healthy environments, and the characteristics of butterfly gardens. The unit includes worksheets, assessment ...
This is an illustrated story of a real-life engineering solution designed to recycle glass waste and reuse it as reinforcement for concrete used in footpaths. The book explains the process of innovation to reach a viable solution. It shows the creativity, innovation and collaboration required to provide a solution that ...
This video demonstrates ways in which data can be analysed and visualised. It is the final in a series of four.
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 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.