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Your search returned 28 results

Listed under:  Mathematics  >  Statistics and probability  >  Distributions (Statistics)  >  Data types
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ACARA sample assessment task: years 3-4: Classifying living or non-living things

  • TLF-IDA002168

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

  • TLF-IDA002211

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 9-10

  • TLF-IDA002172

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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Exploring digital systems unplugged: networks: years 5-6

  • TLF-IDA002179

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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Data collection and representation: What’s in your lunchbox? Years F-2

  • TLF-IDA002174

This resource provides activities in which students collect, represent and interpret data about the fruit and vegetables they bring to school.

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Data knowledge and skills tutorial: part 2 - authenticating data

  • TLF-IDA002209

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

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

  • TLF-IDA002231

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

  • TLF-IDA002232

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

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

  • TLF-IDA002395

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

  • TLF-IDA002394

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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Statistical analysis: Year 9 – planning tool

  • TLF-IDA003245

This planning resource for Year 9 is for the topic of Statistical analysis. Students have knowledge of various representations of data and can now extend this to comparison. Students compare many data sets of numerical variables to make comparisons using appropriate mathematical vocabulary. Students consider the shape and ...

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Computer Science Fundamentals

  • TLF-IDA003439

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

  • TLF-IDA002178

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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Assessment: Australian Curriculum: Digital Technologies sample Data assessment tasks: years 7-8

  • TLF-IDA002173

Resource description 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 ...

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ACARA sample assessment task: years 5-6: Representing data

  • TLF-IDA002169

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 Digital Systems sample assessment task: Cooling the school

  • TLF-IDA002236

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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Exploring patterns and data with bread tags and plastic lids (Years F-2)

  • TLF-IDA002175

This PDF provides suggestions for using bread tags and plastic bottle caps to collect, organise and represent data.

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Recognising AI

  • TLF-IDA003370

Use the tasks in this lesson to introduce concepts that underpin artificial intelligence (AI). The majority of the tasks are unplugged (do not require a digital device). Use the downloadable AI cards with your students to explore what they know about AI.

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How can AI recognise what it sees?

  • TLF-IDA003357

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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Data bias in AI

  • TLF-IDA003366

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.

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