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Listed under:  Mathematics  >  Statistics and probability  >  Data representation
Online

Can an AI recognise what you are drawing

This lesson provides an opportunity to incorporate representation of data using a relevant context being studied in the classroom. Students represent an object using a line drawing, focusing on the features of the object that enable it to be easily recognised. Students experiment with creating representations using an AI ...

Online

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.

Online

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.

Assessment

Lunch box data

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

Online

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.

Online

Turtles: exploring data tracking turtle movements

By gathering data on marine turtles, scientists have evidence that helps them work out where turtles migrate and the journeys they take. Scientists can then help to reduce the threats to the turtles’ survival. In this lesson we look at satellite tracking using real scientific data. Explore ways to model, interpret, represent ...

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Digital Technologies resource types and resource mapping template

This three-page document gives suggestions for selecting and organising Digital Technologies resources, including physical equipment, unplugged activities and online links. It includes a simple template that may be helpful in documenting these.

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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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Literature reviews: what, why and how

This PowerPoint explains the benefits and techniques of literature reviews.

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Easterbrook review: Systems thinking and Computational thinking

This article explores how the relationship between systems thinking and computational thinking would provide a conceptual basis for transformational change – change that considers the social and environmental impact of technology.

Video

DTiF in conversation with Save the Bilby Fund – Background information on the Save the Bilby Fund

Kevin Bradley, CEO of Save the Bilby Fund, and Cassandra Arkinstall, a researcher and volunteer at Save the Bilby Fund, explain why the bilby is an important indicator of the health of an ecosystem, and how their decline impacts other wildlife. This video gives an overview of what the Save the Bilby Fund does as they work ...

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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Archived newsletters

This webpage features archived newsletters from the Digital Technologies in Focus project. The newsletters include information about schools' projects, assessment tasks, the Australian Curriculum and resources.

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Computational thinking poster

This infographic provides an overview overview of the concepts related to 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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Understanding algorithms and the smiley face biscuit challenge: years F-2

This PDF provides suggestions for introducing students to algorithms by sequencing words, images and actions.

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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.

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Classroom ideas: Micro:bit environmental measurement (visual and general-purpose programming): years 5-8

This tutorial shows ways in which environmental factors such as lighting and temperature can be measured and improved using micro:bits and sensor boards, and programmed using pseudocode, visual programming and general-purpose programming.

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Australian Curriculum: Digital Technologies Years F-6 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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Classroom ideas: QR codes, digital systems and data representation: yrs 5-6

This PDF provides ideas for using QR codes in classrooms to generate discussion about data representation and digital systems: how they work, who uses them and for what purposes. The resource also includes a simple tutorial on creating and using QR codes.