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It’s Alive: Conditions on Earth

In this resource, students investigate and measure the conditions of planet Earth. They explore temperature, gravity and the needs of living things. Students also discuss how some conditions on Earth are constant, while other conditions regularly change, and how living things have adaptations to survive these changes.

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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.

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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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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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Australian Curriculum: Digital Technologies Years 7–10 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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Australian Curriculum: Digital Technologies key concepts mapping: years 7-8

This PDF uses colour coding to provide a line of sight between key concepts, content descriptions and achievement standards in the Digital Technologies subject in the Australian Curriculum.

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Faith Lutheran College – Project proposal

This PDF outlines Faith Lutheran College's proposal to participate in the Digital Technologies in Focus project.

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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: 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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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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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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Conduct statistical investigations: Year 7 – planning tool

This planning resource for Year 7 is for the topic of Conduct statistical investigations. Student have been learning about measures of spread in terms of mean, median, mode and range. They use these values to interpret data and data displays. They are familiar with statistical terminology and are ready to conduct their ...

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Conduct statistical investigations: Year 5 – planning tool

This planning resource for Year 5 is for the topic of Conduct statistical investigations. Students plan and conduct a statistical investigation. They pose questions and collect data using simple surveys or checklists. They select appropriate ways to display the data, interpret the represented data, and communicate their findings.

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Learning environments

This sequence of lessons explores how conditions in the environment can impact on learning. Through investigating the environmental influences on our classroom, and learning environments such as light, noise and temperature, students collect data and identify the optimal learning environment.

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Statistical analysis: Year 8 – planning tool

This planning resource for Year 8 is for the topic of Statistical analysis. Students focus on understanding that random samples chosen from large populations can show quite different distributions and proportions when compared with each other. Students make connections when different sample sizes are or can be responsible ...

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Statistical analysis: Year 10 – planning tool

This planning resource for Year 10 is for the topic of Statistical analysis. Students are competent with comparing data distributions and are fluent with the relevant mathematical vocabulary. Extend students to work with other data displays, such as box plots, to represent continuous numerical variables. Review the distinction ...

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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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Seeing the wood for the trees

In this lesson sequence students summarise data using advanced filtering and grouping techniques, for example pivot tables in spreadsheets and aggregation functions in databases.