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Stage 1 | Subject outline | Version control

Digital Technologies Stage 1
Subject outline

Version 4.0 - For teaching in 2024.
Accredited in November 2016 for teaching at Stage 1 from 2018.

Stage 1 | Subject outline | School assessment | Assessment Type 2: Digital Solution

Assessment Type 2: Digital Solution

For a 10‑credit subject, students undertake at least one digital solution. For a 20‑credit subject, students undertake at least two digital solutions.

Students independently or collaboratively solve a problem. They use computational thinking skills and strategies to analyse relationships in data sets, apply programming and program‑design skills, and use a digital system to transform data into information.

The solution may be a product, prototype, or proof of concept. Where a prototype is produced, there should be enough programming present to clearly explain how the solution will produce an output.

The problem should be chosen by, and be of interest to, the student(s).

The digital solution may include, for example:

  • a website
  • a program
  • an application
  • wearable technology.

Students evaluate the digital solution. The evaluation may include discussion about:

  • a feature or features that could be considered innovative
  • the effectiveness of the solution
  • ethical considerations.

The evaluation may also include, depending on the focus areas studied:

  • data analysis
  • design and coding skills
  • problem‑solving skills.

The digital solution may be undertaken individually and/or collaboratively. If working collaboratively, each student presents an individual evaluation, including evidence of their contribution to the project and how they applied their collaborative skills.

The digital solution should be presented in digital or multimodal form, and the evaluation should be presented in multimodal, oral, or written form. The evaluation should be a maximum of 3 minutes if oral, 500 words if written, or the equivalent if multimodal.

For this assessment type, students provide evidence of their learning primarily in relation to the following assessment design criteria:

  • computational thinking
  • development and evaluation
  • research and ethics.