Level 3 Digital Technology

Internal Assessments

Use complex processes to develop a digital technologies outcome involves:

• Using recognised and appropriate project management tools and techniques to plan the development of a digital technologies outcome 

• Decomposing the digital technologies outcome into smaller components

• Trialling components of the outcome 

• Testing that the digital technologies outcome functions as intended 

• Addressing relevant implications.

Use complex processes to develop an informed digital technologies outcome involves:

• Effectively using project management tools and techniques to manage development, feedback and/or collaborative processes

• Effectively trialing multiple components and/or techniques 

• Effectively using information from testing and trialling to improve the functionality of the digital technologies outcome.

 Use complex processes to develop a refined digital technologies outcome involves:

• Synthesising information gained from the planning, testing and trialling of components 

• Discussing how this information led to the development of a high-quality digital technologies outcome.

 Examples of project management tools and techniques include:

• Agile or waterfall techniques

• Kanban or scrum boards

• version control software

• collaboration tools

• managing assets.

External Assessment

Analyse an area of computer science involves giving an explanation of:

• The key aspects of the computer science area

• Relevant algorithms or other mechanisms behind the area

• How the area is used, is implemented, or occurs, giving examples

• Key problems or issues related to the area and how these have been or may be addressed.

Analyse, in depth, an area of computer science involves:

• Providing a detailed explanation of how the technical capabilities and limitations of the area relate to humans, giving examples

• Comparing and contrasting different perspectives on the area.

Computer science areas can be selected from: 

• Complexity and tractability

• Computer vision 

• Big data 

• Computer graphics

• Formal languages

• Network communication protocols.

Examples of insightful conclusions include:

• Innovative and imaginative connections

• Exploration of less obvious implications

• Making justified predictions

• Suggesting improvements 

• Making justified generalisations that could be applied beyond the area itself