AC9TDI10P01: Year 9 Technologies Content Descriptor (AC v9) | Acquiring, managing and analysing data | Teacheese AC9TDI10P01: Year 9 Technologies Content Descriptor (AC v9) | Acquiring, managing and analysing data | Teacheese
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AC9TDI10P01 Year 9 Technologies

AC9TDI10P01 – Year 9 Technologies: Acquiring, managing and analysing data

Strand
Processes and production skills
Substrand
Acquiring, managing and analysing data

This Content Descriptor from Year 9 Technologies provides the specific knowledge and skills students should learn. Use it to plan lessons, create learning sequences, and design assessments that align with the Australian Curriculum v9.

Content Description

develop techniques to acquire, store and validate data from a range of sources using software, including spreadsheets and databases

Elaborations

  • 1 developing systems that store structured data, for example a movie or travel review website that collects Likert scale ratings and written reviews
  • 2 developing systems that check data is correct and meaningful using automated techniques and manual analysis, for example, validating movie review data using rules and user interface elements, and detecting bias and fake reviews through simple statistical analysis
  • 3 developing systems that acquire, use and protect data according to the Australian Privacy Principles, for example ensuring personally identifiable information is not publicly shared without consent and is protected from unauthorised access
  • 4 accessing and storing data from the Australian Bureau of Statistics in a format that is useful for analysis, for example acquiring data on the population growth across age groups in Australia
  • 5 identifying strengths and weaknesses of collecting data using different methods, for example online surveys, face-to-face interviews, phone interviews, observation, comments in response to a social media posting, phone logs, browser history and online webcam systems
  • 6 considering how training data issues such as the zero problem dictate the output from predictive models; for example, a model with many examples of horses and no zebras in its training data is likely to classify all zebras as horses

Related Achievement Standards

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