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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, ...

Downloadable

The Manual: Butterfly Gardening in South Australia

This Manual assists teachers and students establish butterfly gardens in their schoolgrounds. It provides information about butterfly lifecycles, habitats, adaptations, and requirements to live. The manual also provides local Indigenous perspectives of butterflies, along with useful links to websites. The manual accompanies ...

Online

Conduct statistical investigations: Year 6 – planning tool

This planning resource for Year 6 is for the topic of Conduct statistical investigations. Students plan and conduct statistical investigations to collect data to answer a question for an identified problem. They analyse and interpret the data and communicate findings.

Online

Conduct statistical investigations: Year 7 – planning tool

This planning resource for Year 7 is for the topic of Conduct statistical investigations. Student have been learning about measures of spread in terms of mean, median, mode and range. They use these values to interpret data and data displays. They are familiar with statistical terminology and are ready to conduct their ...

Online

Acquire, record and represent data: Year 2 – planning tool

This planning resource for Year 2 is for the topic of Acquire, record and represent data. Students review, consolidate and extend upon existing data understandings and skills. They collect data through surveys, observations and experiments. They explore and create different graphical representations of the data acquired. ...

Online

Conduct statistical investigations: Year 5 – planning tool

This planning resource for Year 5 is for the topic of Conduct statistical investigations. Students plan and conduct a statistical investigation. They pose questions and collect data using simple surveys or checklists. They select appropriate ways to display the data, interpret the represented data, and communicate their findings.

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Statistical analysis: Year 8 – planning tool

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 ...

Online

Conduct statistical investigations: Year 10 – planning tool

This planning resource for Year 10 is for the topic of Conduct statistical investigations. Students continue to conduct statistical investigations and are introduced to contexts that involve bivariate data. It is important to review the meaning and relationship between dependent and independent variables, as well as the ...

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Seeing the wood for the trees

In this lesson sequence students summarise data using advanced filtering and grouping techniques, for example pivot tables in spreadsheets and aggregation functions in databases.

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Weather forecast from the stratosphere

This lesson sequence is designed to introduce students to data analysis using a spreadsheet such as MS Excel. The project is based on a real world problem and a real data set from a weather balloon launched in Australia earlier this year. The project consists of 5 lessons of variable length, each with a different focus. ...

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DT Challenge - 7/8 Python - Smart garden

Learn how to program a BBC micro:bit using Python — no experience required. Learn the basics of programming in Python with our full BBC micro:bit simulator. Create a Smart Garden device to monitor the health of your plants, measuring temperature and wiring up a simple soil moisture sensor.

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Data knowledge and skills tutorial: part 4 - analysing and visualising data

This video demonstrates ways in which data can be analysed and visualised. It is the final in a series of four.

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ACARA sample assessment task: years 7-8

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 ...

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Australian Curriculum: Digital Technologies Years 5–6 sample assessment task: How do digital systems represent data? Teacher PowerPoint

This PowerPoint supports the years 5-6 assessment task, How do digital systems represent data?

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Expert webinar video: In conversation with Paul Mead from She Maps: A wide-ranging discussion from women in Technology and unconscious bias to digital systems and the ethical and safety considerations of using drone technologies

Paul Mead, from STEM education provider She Maps, discusses unconscious bias in young students and how She Maps is spreading the word about women who work with technologies in the field. He discusses digital systems and explains how geospatial systems and geographical information systems are used to collect, analyse and ...

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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 5-6: Representing 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.

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Australian Curriculum: Digital Technologies Years 3–4 assessment task: Living and non-living things booklet

This PDF is a booklet that accompanies the years 3-4 assessment task, Classifying living and non-living things.

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Visualising climate change lesson

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 ...