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Listed under:  Mathematics  >  Statistics and probability  >  Data analysis
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Beautiful biomes

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 ...

Online

Data and information

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 ...

Online

Is it going to rain today?

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.

Online

Planting fruit and vegetables

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.

Interactive

Refugees welcome here

This resource embeds the use of online collaboration tools and 21st century learning skills in a student-centered hands-on project designed to welcome refugees into their community. The syllabus outcomes are aligned to NSW Stage 4 English, Geography or Visual Arts but this could be used with older or younger students by ...

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Connecting Digital Technologies to food and fibre - Smart gardens 1

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 ...

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ACARA sample assessment task: years 9-10

This resource provides strategies for assessing students' ability to interpret, process, analyse and represent data using spreadsheets, pivot tables, plotting data and scripting activities. A link to a data set from a koala hospital provides extensive data for students to use. The resource includes maps, graphs and charts, ...

Video

DTiF in conversation with Kevin Bradley and Cassandra Arkinstall from Save the Bilby Fund – Using Digital Technologies to help save bilbies

Kevin Bradley, CEO of Save the Bilby Fund, and Cassandra Arkinstall, a researcher and volunteer at Save the Bilby Fund explain how important digital technologies are in the campaign to save the bilby from extinction. The video explains how digital systems are used to collect and visualise data and help eradicate threats ...

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Australian Curriculum: Digital Technologies Years F–2 Sample assessment task: Stepping out

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 Mathematics, Numeracy and Literacy. The resource includes an assessment planner and rubric, as well as ...

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Assessment: Australian Curriculum: Digital Technologies sample Data assessment tasks: years 7-8

Resource description 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 ...

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Robots, data and computational thinking: years 2-4

This PDF comprises four worksheets that allow students to observe, investigate, manipulate and program simple line-following robots (Ozobots), engaging in the computational thinking process while working with data.

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Computational thinking in the Australian Curriculum: Digital Technologies

This video provides an overview of computational thinking and how it can be taught in the context of other learning areas.

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Australian Curriculum: Digital Technologies Years 7–10 achievement standards and aligned content descriptions on a page

This PDF presents content descriptions and achievement standards for the Digital Technologies subject in the Australian Curriculum

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Australian Curriculum: Digital Technologies years 3-4 Digital Systems sample assessment task: Cooling the school

This document provides a scaffold to teach and assess students’ understanding of how digital systems can be used to monitor and collect information used for mapping and making judgements about the environment. Students record information using digital systems to investigate a school need, then design solutions to improve ...

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Computational thinking cut out cards

This set of printable cards provides definitions of six aspects of computational thinking.

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ACARA sample assessment task: years 3-4: Classifying living or non-living things

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 ...

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Data collection and representation: What’s in your lunchbox? Years F-2

This resource provides activities in which students collect, represent and interpret data about the fruit and vegetables they bring to school.

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Classroom ideas F-10: Aboriginal and Torres Strait Islander connections to Digital Technologies

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'.

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Curzon & Bell et al. review: Computational thinking

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.