Digital technologies / Year 9 and 10 / Digital Technologies Processes and Production Skills

Curriculum content descriptions

Analyse and visualise data to create information and address complex problems, and model processes, entities and their relationships using structured data (ACTDIP037)

Elaborations
  • using visualisation software tools to identify patterns and relationships between sets of data and information, and support abstract reasoning, for example representing data using histograms, network diagrams and maps
  • summarising data using advanced filtering and grouping techniques, for example pivot tables in spreadsheets and aggregation functions in databases
  • automating calculations, for example using absolute cell referencing to automatically extend formulas, and automating arithmetic calculations using built-in functions such as trigonometry, compound interest
  • simulating simple, iterative processes, for example modelling compound interest or ecological models using a spreadsheet
  • documenting the attributes of complex objects and processes using a data dictionary
  • interpreting schemas that represent relationships between entities and querying data across tables, for example using foreign keys to represent relationships and joining tables in structured query language (SQL) SELECT statements
General capabilities
  • Literacy Literacy
  • Numeracy Numeracy
  • Critical and creative thinking Critical and creative thinking
  • ICT capability Information and Communication Technology (ICT) capability
ScOT terms

Data representation,  Data analysis,  Problem solving,  Information management,  Data storage

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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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Reducing the burn

In this set of learning activities, students explore the health issues of sun burn and develop a mathematically rigorous solution that allows Australians determine their level of sun exposure. The module includes a comprehensive teacher guide, curriculum links, materials lists, design process guides and printable student ...

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Digital tectonics

This set of learning activities challenges students to use accessible digital technologies and hands-on engineering to measure simulated seismic vibrations, analyse and present data, and determine criteria for the design of earthquake tolerant buildings. The module includes a comprehensive teacher guide, curriculum links, ...

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Big data

In this set of learning activities, students consider their contribution to big data through their daily activities and online interactions and gain insight into big data analysis. They take on the role of the data scientist to use big data to identify real-world problems and design possible solutions. The module includes ...

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Deciding dosages

This set of learning activities challenges students to develop a mathematical model that can be used to determine optimal dosage regimes and supports students to better understand medical advice. The module includes a comprehensive teacher guide, curriculum links, exemplars of student responses, vocabulary lists and printable ...

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Years 9–10: Data science skills

This unit introduces data science as a process, focusing on specific skills used in data science. These include the acquisition of data from surveys, sensors or online repositories; storage and analysis of that data; and its visualisation, including with interactivity. When acquiring and analysing data, students can apply ...

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Dynamic route planning

In this learning sequence, students think critically about the types of data artificial intelligence (AI) algorithms need to analyse for real-time traffic data.

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Visualising climate change | The GiST

In this STEM lesson students explore local temperature and rainfall datasets over time and represent trends in innovative ways.

Assessment

Assessment resources

Browse assessment resources.

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Visualising climate change lesson

In this lesson, students explore different approaches to data representation, with the aim of engaging audiences with scientific data. They explore local temperature and rainfall datasets over time and represent trends in innovative ways. Students learn about different ways to visually represent climate change, looking ...