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Listed under:  Mathematics  >  Statistics and probability  >  Data representation
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Trade and Investment at a Glance

Using an illustrated report from the Department of Foreign Affairs and Trade, this Teacher guide provides ten learning sequences that engage students in the analysis and interpretation of data about Australian imports and exports. Students: identify Australia's major exports and imports; investigate international trade ...

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Australia's Trade through Time

Using an interactive timeline created by the Department of Foreign Affairs and Trade, this Teacher guide provides 12 series of learning experiences that engage students in the analysis and interpretation of data about Australian trade from 1900 to the present day. Students study videos, tables, images and texts in order ...

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MoneySmart: Hey! Let's have a big day out!

This is a year 5 mathematics unit of work about costing and budgeting for various types of family outings. The unit is intended to take about 7.5 hours of teaching and learning time, and is recommended for near the end of the school year. It consists of an introduction, five sets of student activities, and teacher notes ...

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From Citrus to almonds

This is a unit of work about the Australian almond industry. It contains a inquiry sequence that includes: background on the almond industry, a short case study of an Australian almond orchard that has transitioned from citrus to almonds; an data analysis activity exploring the growth of the Australian almond industry and ...

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MoneySmart: It's raining cats and dogs...and chickens?

This is a year 6 mathematics unit of work about keeping pets. The unit is intended to take about 12 hours of teaching and learning time, and is recommended for near the end of the school year. It consists of an introduction, seven sets of student activities, and teacher notes. The student activities include building a word ...

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MoneySmart: The fun begins: plan, budget, profit!

This is a unit of work integrating aspects of the year 6 mathematics, English, geography, and economics and business curriculums around planning a nature fun park. The unit is intended to take about eight hours. It consists of eight sets of student activities supported by teacher notes, including mapping, holding discussions, ...

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MoneySmart: Light up the globe!

This unit of work will help students make an informed choice on which light globe to use from the wide range of light globes now available. Their choice will be based on cost, value for money, life span of globe, light output and energy used. Students will also gain an understanding of how light output and electricity (energy) ...

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Create dichotomous keys lesson

In this lesson students engage in a hands-on exploration of local diversity. Students research and record local wildlife, learn about biodiversity in Australia, and conduct a ‘bush blitz’. They learn how to create dichotomous keys and translate their keys into a wildlife discovery app prototype. The resource includes links ...

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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 ...

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AI and image recognition

This lesson builds on How can an AI recognise what is sees? It focuses on image recognition that involves feature extraction, object detection and classification, and introduces the idea that computers store and use data using 0s and 1s.

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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 ...

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Can AI guess your emotion?

Discuss emotions as a class, and introduce the idea of artificial intelligence (AI). This lesson can also be used to introduce image classification – a key application of AI. Developed in collaboration with Digital Technologies Institute.

Assessment

Network infographic

Throughout the lesson sequence, students keep and maintain a reflection log with key content to inform the development of an infographic.

Assessment

Pixels and binary digits

Students are given a bitmap image made up of coloured pixels. They explain how the image is made up of binary digits that represent each pixel. Students represent 8 colours using binary digits. Teachers assess the student’s demonstrated knowledge/skills using the checklist provided.

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Protecting dugongs

The Western Australian Marine Science Institution has been collecting data about dugongs off the coast of the Kimberley in Northern WA. We have been provided with the raw data from its sightings trips. In this project students will learn how dugong sightings are conducted, and develop the data-science skills needed to make ...

Assessment

Lunch box data

Use this assessment task to explore data collection, analysis and presentation.

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How can AI recognise what it sees?

This lesson is an introduction to the way in which a computer sees. It focuses on image recognition that involves feature extraction, object detection and classification. This lesson was developed in collaboration with Dr Karsten Schulz, Digital Technologies Institute.

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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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What's the buzz?

In this lesson students use BeeBots and Scratch Junior to synthesize what they know about Bees and are introduced to mapping concepts. This lesson idea was created by Karen Butler.

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Saltwater crocs: resourceful or a resource?

This lesson focuses on the analysis of a dataset that records scientific data collected about the crocodile population in the Kimberley region during 2015. The lesson follows an inquiry process where students use the dataset to answer relevant questions about the crocodile population. It also provides an opportunity for ...