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Assessment Specifications
Level 2 Digital Technologies
and Hangarau Matihiko 2022
General information
Domain |
Digital Technologies |
Method of assessment |
Common assessment task (online / digital submission) |
Duration |
3 hours |
Standards |
Information relating to both achievement standards
A common assessment task (CAT) is developed and marked by NZQA, and administered by a school in a single session during a period of assessment specified by NZQA.
Conditions of assessment
Candidates must complete their assessment individually under teacher supervision, in accordance with the NCEA Assessment and Examination Rules and Procedures.
The material submitted for assessment must be the candidates’ own work. Unless specified below, candidates are not permitted to access any resources (either in hard copy or online) other than those supplied in the assessment itself.
Further information
NZQA will notify schools during Term 1 of the period of assessment, and then schools must inform NZQA of the day during this period of assessment on which the CAT will be administered.
Administration and submission instructions and authenticity requirements will be published on the Digital Technologies subject page at the end of Term 2.
Specific information for individual achievement standards
Standard |
|
Title |
Demonstrate understanding of a computer science concept |
Version |
1 |
Number of credits |
3 |
Candidates will be required to respond in short and/or extended answers (800–1500 words in total) to questions relating to their choice of ONE of the following computer science concepts:
- computer security
- complexity and tractability
- artificial intelligence.
There will be a question on “impacts” in relation to future-proofing or human factors.
For computer security, questions may cover: common issues; ways to protect individual devices and devices managed by an organisation; policies or practices of a New Zealand-based* organisation that has had issues with computer security.
For complexity and tractability, questions may cover: common examples; an instance in which it makes sense for a solution not to be found; an instance of an approximate solution to an intractable problem.
For artificial intelligence, questions may cover: common issues; training; evaluating; policies or practices of a New Zealand-based* organisation that has made use of artificial intelligence.
* This must be a particular New Zealand-based organisation or entity specified by the candidate. For example, Countdown (but not “supermarkets”), the Auckland DHB (but not “hospitals”), Westpac (but not “banks”), or “my school”.
Standard |
|
Title |
Present a summary of developing a digital outcome |
Version |
1 |
Number of credits |
3 |
Candidates will be required to respond in short and/or extended answers (800–1500 words in total) to questions relating to a digital outcome they have developed within the past 12 months. This digital outcome must be based on Level 7 of The New Zealand Curriculum (see the Teaching & Learning Guide for digital technologies).
Questions will require the candidate to discuss:
- the digital outcome that was developed
- the process of developing the digital outcome, and decisions made during the development, which may relate to:
- the design process
- the project-management process
- the choice of tools, and techniques for using them
- consultation with subject-matter experts
- testing and trialling with particular people or groups.
The discussion will require candidates to focus on how their choice of TWO of the following “implications” were considered during development of the digital outcome:
- legal issues
- future-proofing
- the needs of end users.
Candidates must prepare up to THREE images in advance to include in the assessment:
- a single image of the digital outcome (e.g. a website; a poster; an electronic device)
- a single image of the planning process (e.g. agile development; a planning chart)
- a single sample image showing a relevant digital component of the outcome in the software used, for example:
- the HTML / CSS for a website in a text editor (e.g. VS Code, Notepad++)
- the “layers” view of a vector or raster graphic (in e.g. Inkscape / Illustrator, GIMP / Photoshop)
- the source code for controlling an electronic device (in e.g. Arduino C, PBasic)
- the CAD / CAM file for a 3D model (in e.g. Blender, Fusion 360, SketchUp)
- the source code for an application in a suitable text editor (e.g. VS Code, Replit).
Candidates may access their digital outcome for reference only (they may not copy / paste information into the assessment response).
Special note
The school may be required to provide a link to evidence of the candidate’s digital outcome (e.g. working files).