Digital technologies / Year 5 and 6 / Digital Technologies Processes and Production Skills

Curriculum content descriptions

Define problems in terms of data and functional requirements drawing on previously solved problems (ACTDIP017)

Elaborations
  • checking existing solutions to identify features that are transferable to new but similar digital solutions, for example identifying if there are any similarities (such as user age and special requirements) between an existing game and a new game to be created – in terms of the types of data and the needs of the users
  • investigating characteristics of user interfaces that are common for particular types of problems, for example, touch screens – many people respond more intuitively than when using a keyboard or stylus; and the consistent placement of symbols helps with performing actions that require speed, for example in games
  • using and interpreting data, establishing the root cause of a problem, for example using an annotated diagram to identify omissions, duplications or mismatches of data
  • describing in simple terms the nature of a problem and what a solution needs to achieve, for example what need the problem is associated with, who the solution is needed for, what data are needed and what features the solution would need to include
General capabilities
  • Literacy Literacy
  • Numeracy Numeracy
  • Critical and creative thinking Critical and creative thinking
  • ICT capability Information and Communication Technology (ICT) capability
ScOT terms

Problem solving,  Functionality

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Computational thinking poster

This infographic provides an overview overview of the concepts related to computational thinking.

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

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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Voskoglou & Buckley review: Problem solving and computational thinking

This article explores the relationship between computational and critical thinking as it applies to solving technological problems. Research evidence derived from classroom experiments strongly suggests that using computers to solve problems enhances students’ abilities in solving real-world problems involving mathematical ...

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Expert webinar video: In conversation with Paul Mead from She Maps: A wide-ranging discussion from women in Technology and unconscious bias to digital systems and the ethical and safety considerations of using drone technologies

Paul Mead, from STEM education provider She Maps, discusses unconscious bias in young students and how She Maps is spreading the word about women who work with technologies in the field. He discusses digital systems and explains how geospatial systems and geographical information systems are used to collect, analyse and ...

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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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Recognising AI

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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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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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 ...

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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.

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DTiF Classroom Exploring AI in the Classroom: Activity

Simon Collier, Digital Technologies in Focus Curriculum Officer, takes viewers though a lesson from the Digital Technologies Hub exploring how machine learning can be used to organise photographs.

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Expert webinar video: Andrew Harris - Lead Teacher, Agricultural Education, Hagley Farm Primary School

Andrew Harris from the Hagley Farm School in Tasmania shares ways in which the school is teaching Digital Technologies and its meaningful use in agriculture . For example, Andrew provides examples of ways students learn about digital systems and data collection.

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Expert Webinar video: Professor Stephen Heppel: The impact of environmental factors on learning

In this video Professor Stephen Heppell, discusses the aggregation of marginal gains in learning environments. He provides examples from the Learnometer project, designed to help students monitor their classroom environment for factors that may hinder learning.

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Expert webinar video: Jennifer Hemer: Tasmanian Smart Seafood Partnership

Jennifer Hemer from Natural Resource Management Tasmania explains what's happening in the seafood industry in her state and how digital technologies are used to make the industry more sustainable.

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Computational thinking in the Australian Curriculum: Digital Technologies

This video provides an overview of computational thinking and how it can be taught in the context of other learning areas.

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Expert webinar video: Professor Tim Bell – Computational thinking

In this video, Professor Tim Bell discusses helpful ways of understanding and teaching computational thinking, a key idea of the Australian Curriculum: Technologies.

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Turtles: exploring data in turtle population dynamics

The number of eggs a female turtle lays in her lifetime influences the health of that species population. In this lesson we look at modelling data related to the number of eggs a female turtle lays in her lifetime, using real scientific data. Explore ways to model, interpret, represent and present data, creating an infographic ...

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Computational thinking cut out cards

This set of printable cards provides definitions of six aspects of computational thinking.

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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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Home automation with AI

Home automation is all the rage. You talk to your mobile phone to control the lights, the fan, the air conditioner, or your pool pump. But how does it work? In this lesson, we explore the AI that could power a home automation system.

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DTiF Classroom Exploring AI in the Classroom: Teacher debrief

Digital Technologies in Focus curriculum officers discuss a lesson about Artificial Intelligence and curriculum links for teachers