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Digital technologies / Year 3 and 4 / Digital Technologies Processes and Production Skills

Curriculum content descriptions

Define simple problems, and describe and follow a sequence of steps and decisions (algorithms) needed to solve them (ACTDIP010)

Elaborations
  • explaining what the problem is and some features of the problem, such as what need is associated with the problem, who has the problem and why
  • describing, using drawings, pictures and text, the sequence of steps and decisions in a solution, for example to show the order of events in a game and the decisions that a player must make
  • experimenting with different ways of describing a set of instructions, for example writing two versions of the same simple set of instructions for a programmable robotic device
  • explaining to others how to follow technical instructions, for example how to capture and download images from a mobile device
  • defining and describing the sequence of steps needed to incorporate multiple types of data in a solution, for example sequencing the steps in selecting and downloading images and audio to create a book trailer
General capabilities
  • Literacy Literacy
  • Numeracy Numeracy
  • Critical and creative thinking Critical and creative thinking
  • ICT capability Information and Communication Technology (ICT) capability
ScOT terms

Algorithms

Online

Maker spaces

Find out about Maker spaces. Use this topic from the Digital Technologies Hub to learn more, get ideas about how to teach about it, find out what other schools are doing and use the applications and games in the classroom.

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Algorithms

Find out about algorithms. Use this topic from the Digital Technologies Hub to learn more, get ideas about how to teach about it, find out what other schools are doing and use the applications and games in the classroom.

Video

Expert webinar video: Nathan Alison, Digital Learning and Teaching Victoria (DLTV): Focus on systems thinking. How do we teach it well?

Nathan Alison from Digital Learning and Teaching Victoria (DLTV) explains what systems thinking is and how it is used in the context of Digital Technologies. Nathan explains what we need to consider when teaching digital systems, covering topics such as networks, hardware and software protocols, people and processes.

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Project Quantum: Online assessment system

Project Quantum helps computing teachers check their students’ understanding, and support their progress, by providing free access to an online multiple-choice assessment system and question bank. To use Project Quantum, you will need to create a free account.

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Game-based learning

Find out about Game-based learning. Use this topic from the Digital Technologies Hub to learn more, get ideas about how to teach about it, find out what other schools are doing and use the applications and games in the classroom.

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Robotics

Find out about robotics. Use this topic from the Digital Technologies Hub to learn more, get ideas about how to teach about it, find out what other schools are doing and use the applications and games in the classroom.

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Computational thinking

Find out about Computational thinking. Use this topic from the Digital Technologies Hub to learn more, get ideas about how to teach about it, find out what other schools are doing and use the applications and games in the classroom.

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Design thinking

Find out about Design thinking. Use this topic from the Digital Technologies Hub to learn more, get ideas about how to teach about it, find out what other schools are doing and use the applications and games in the classroom.

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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 ...

Video

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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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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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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Kim review: Systems thinking

This article explores the types of systems in our world, their characteristics and how our behaviour can initiate and respond to changes in their performance. The author differentiates between systems thinking and a system and elaborates on those factors that contribute to systemic behaviour.

Assessment

Assessment resources

Browse assessment resources.

Video

Expert webinar video: Russell Scott - Vortals: Augmented reality, virtual reality, 2D, 3D and game design lessons

Russell Scott, Co-Founder of multimedia design company Vortals, demonstrates some of the ways he teaches students about augmented reality, virtual reality, 2D, 3D and game design.

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Curzon & Bell et al. review: Computational thinking

This article explores the concept of computational thinking within computer science learning and in relation to other learning areas. The authors assert that because of its focus on analysis, computational thinking is not only suitable for computation but also the development of systems-based on computation.