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Listed under:  Mathematics  >  Statistics and probability  >  Distributions (Statistics)  >  Data types
Video

Data knowledge and skills tutorial: part 3 - structuring data in a spreadsheet

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

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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, ...

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Visual to text coding: Lesson 2

This is the second in a series of lessons to transition from visual coding to text-based coding with a general-purpose programming language. This lesson may take two to three 45-minute periods. It introduces how to make decisions (branching) and identify data types.

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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.

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Fun projects with language translation

Natural language processing is growing in importance. We often converse with automatic chatbots for customer service without even knowing. We also use online translation services or mobile apps. But how do these services work? Is there artificial intelligence (AI) in them? Three projects are offered to cater for student ...

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Interpret and compare data displays: Year 6 – planning tool

This planning resource for Year 6 is for the topic of Interpret and compare data displays. Students interpret and compare datasets using different data displays and visualisations.

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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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Collecting data about litter in the community: years 3-4

This PDF provides activities for collecting, analysing and representing data about litter in the local community. It prompts students to consider the implications of rubbish in the local environment, and suggests actions students can take in order to reduce litter.

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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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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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Classroom ideas: exploring digital technologies through shopping: years 3-6

This PDF demonstrates how using concepts derived from age-appropriate content, combined with multiple points of entry to and exit from a shopping-related task might remove barriers to learning. Students engage in purposeful and authentic open-ended explorations that require critical and creative thinking and incorporate ...

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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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Australian Curriculum: Digital Technologies Years F-2 Sample Assessment Task: Digital Systems - Presentation materials

The Digital systems presentation materials to support the assessment task provides a scaffold to teach about and assess students’ understanding of how digital systems can be used to collect data about the school environment. Students are guided to use digital systems such as photo apps on digital devices and online maps ...

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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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Computer Science Fundamentals

This curriculum provides a teacher guidebook for implementing lessons, with learning and teaching activities, content, printable worksheets and some assessment lessons.

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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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Australian Curriculum: Digital Technologies Years 7-8 Sample Assessment Task: Digital Systems

The Years 7-8 assessment task focuses on digital systems (integrating Digital Technologies and Science). The digital systems assessment task provides a scaffold to teach about and assess students’ understanding of how digital systems can be used to monitor the classroom learning environment. learn how to create environmental ...

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Exploring digital systems unplugged: networks: years 5-6

This PDF provides activities in which students identify features of digital systems, and create models to demonstrate their operations. Students are encouraged to demonstrate their understanding of Domain Name Servers (DNS), routing, and transmission control and internet protocols (TCP/IP).

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

This PDF is a worksheet that accompanies the years F-2 sample assessment task called Stepping out.

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Data bias in AI

Artificial intelligence can sometimes be biased to certain shapes or colours. When such AI systems are applied to situations that involve people, then this bias can manifest itself as bias against skin colour or gender. This lesson explores bias in AI, where it comes from and what can be done to prevent it.