F-10 Curriculum (V8)
F-10 Curriculum (V9)
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This PDF is an extensive report on the success of the Digital Technologies in Focus (DTiF) project, with a focus on supporting the Implementation of Digital Technologies in disadvantaged schools. The evaluation gathered qualitative data to create rich case study accounts of six schools' engagement in the project and its ...
This PDF is an extensive report on the success of the Digital Technologies in Focus (DTiF) project, with a focus on curriculum and pedagogy and learning outcomes. The evaluation gathered qualitative data to create rich case study accounts of six schools' engagement in the project and its impacts and outcomes.
In this lesson, students explore different approaches to data representation, with the aim of engaging audiences with scientific data. They explore local temperature and rainfall datasets over time and represent trends in innovative ways. Students learn about different ways to visually represent climate change, looking ...
This PDF is a one-page summary of the key findings of an external evalation of the Digital Technologies in Focus project in Australia’s most disadvantaged schools.
This set of printable cards describe ways in which computational thinking can be applied when carrying out simple everyday tasks.
This is a unit for Year 5 from the Scope and sequence resources from the DT Hub. The topic of data collection and presentation is organised into four key elements. Use this flow of activities to plan and assess students against the relevant achievement standards. Students collect their own data and analyse the resulting ...
Reducing carbon dioxide emissions and sustainable energy use and are two of the major issues facing the world today. This project explores energy use in homes, and compares individual energy use with the class average and calculate and graph CO2 emissions.
In this sequence of lessons students grow a plant from seed, capturing each step and decision as an algorithmic process and recording data for future learning.
In this lesson sequence students understand the importance of data in effective decision-making, and are able to find, sort and interpret Bureau of Meteorology (BOM) rainfall data, and to collect their own data and analyse the resulting datasets.