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Listed under:  Science  >  Scientific inquiry  >  Data collection
Video

Data knowledge and skills tutorial: part 1 - gathering data

This video demonstrates ways in which data can be manipulated in spreadsheets. It is the first in a series of four.

Video

Expert webinar video: Dr Rebecca Vivian - The CSER Digital Technologies Education Program

Dr Rebecca Vivian provides an overview of the CSER Digital Technologies Education Project from The University of Adelaide. The project includes free professional learning, a digital equipment lending library and a range of resources designed to support teachers in the implementation of the Australian Curriculum: Digital ...

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Supporting Digital Technologies curriculum in schools

This PDF lists seven ways in which schools can support the Digital Technologies curriculum

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Newsletter – December 2020

This newsletter from the Digital Technologies in Focus project includes information about schools' projects, assessment tasks, the Australian Curriculum, useful links, and resources.

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Newsletter – December 2018

This newsletter from the Digital Technologies in Focus project includes information about schools projects, the Australian Curriculum, and useful resources.

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Newsletter – December 2017

This newsletter from the Digital Technologies in Focus project includes information about schools' projects, the Australian Curriculum and useful resources.

Video

Alyangula Area School – Progress report 2

This video is a summary of a progress report into the implementation of Digital Technologies in the Alyangula Area School.

Online

Conduct statistical investigations: Year 4 – planning tool

This planning resource for Year 4 is for the topic of Conduct statistical investigations. Students conduct statistical investigations, collecting data through survey responses and other methods. They record and display data using digital tools, interpret the data and communicate the results of their findings.

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Conduct statistical investigations: Year 3 – planning tool

This planning resource for Year 3 is for the topic of Conduct statistical investigations. Students conduct guided statistical investigations, collecting data through survey responses and other methods. They record and display data using digital tools, interpret the data and communicate their results.

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Interpret and compare data displays: Year 4 – planning tool

This planning resource for Year 4 is for the topic of Interpret and compare data displays. Students build on their use of data displays (visualisations) as well as extending their interpretation of data displays. The focus is to compare different representations of a dataset and analyse the effectiveness of different displays. ...

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Interpret and discuss data displays: Year 8 – planning tool

This planning resource for Year 8 is for the topic of Interpret and discuss data displays. Students collect data to create a sample. Students consider whether the data is coming from direct or primary sources or is derived from secondary data.

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Collect, sort and compare data: Year 9 – planning tool

This planning resource for Year 9 is for the topic of Collect, sort and compare data. Students examine different techniques for collecting types of data and begin to consider the challenges of collecting representative data by sampling a population.

Online

Sphero slalom lesson

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. ...

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Food innovation and molecular gastronomy lesson

In this lesson, students explore connections between science, design, and technologies through the lens of food innovation and food science. Students look at interesting and unusual food products, using food textures as a jumping off point to explore the relationship between chemistry and food. Students then experiment ...

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Learning environments

This sequence of lessons explores how conditions in the environment can impact on learning. Through investigating the environmental influences on our classroom, and learning environments such as light, noise and temperature, students collect data and identify the optimal learning environment.

Online

Humpback whales: what the data reveals

The lesson follows an inquiry process where students use the dataset to answer relevant questions about the whale population. They consider what other data they would need in order to effectively examine the impact on humpback whales of sonar activity and noise from development.

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Work sample Year 4 HASS F-6: Environments and sustainability

This work sample demonstrates evidence of student learning in relation to aspects of the achievement standards for Year 4 HASS F-6. The primary purpose for the work sample is to demonstrate the standard, so the focus is on what is evident in the sample not how it was created. The sample is an authentic representation of ...

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Work sample Year 10 Geography: Geographies of human wellbeing

This work sample demonstrates evidence of student learning in relation to aspects of the achievement standards for Year 10 Geography. The primary purpose for the work sample is to demonstrate the standard, so the focus is on what is evident in the sample not how it was created. The sample is an authentic representation ...

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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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Micro:bit missions: Take a chance on me (Integrating Mathematics): years 6-8

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.