This site will guide you through your learning for NCEA Level 2.
Justify the nature of an intended outcome in relation to the issue to be resolved and justify specifications in terms of key stakeholder feedback and wider community considerations.
Critically analyse their own and others’ past and current planning and management practices in order to develop and employ project management practices that will ensure the effective development of an outcome to completion.
Critically analyse their own and others’ outcomes and evaluative practices to inform the development of ideas for feasible outcomes. Undertake a critical evaluation that is informed by ongoing experimentation and functional modelling, stakeholder feedback, and trialling in the physical and social environments. Use the information gained to select, justify, and develop an outcome. Evaluate this outcome’s fitness for purpose against the brief. Justify the evaluation, using feedback from stakeholders and demonstrating a critical understanding of the issue.
Understand the implications of ongoing contestation and competing priorities for complex and innovative decision making in technological development.
Understand that technological outcomes are a resolution of form and function priorities and that malfunction affects how people view and accept outcomes.
Understand how the “should” and “could” decisions in technological modelling rely on an understanding of how evidence can change in value across contexts and how different tools are used to ascertain and mitigate risk.
Understand the concepts and processes employed in materials evaluation and the implications of these for design, development, maintenance, and disposal of technological products.
Understand the concepts of redundancy and reliability and their implications for the design, development, and maintenance of technological systems.
In authentic contexts and taking account of end-users, students analyse concepts in digital technologies (e.g., information systems, encryption, error control, complexity and tractability, autonomous control) by explaining the relevant mechanisms that underpin them, how they are used in real world applications, and the key problems or issues related to them.
Students discuss the purpose of a selection of data structures and evaluate their use in terms of trade-offs between performance and storage requirements and their suitability for different algorithms. They use an iterative process to design, develop, document and test advanced computer programs.
In authentic contexts and with support, students investigate a specialised digital technologies area (e.g., digital media, digital information, electronic environments, user experience design, digital systems) and propose possible solutions to issues they identify. They independently apply an iterative process to design, develop, store and test digital outcomes that enable their solutions, identifying, evaluating, prioritising and responding to relevant social, ethical and end-user considerations. They use information from testing and, with increasing confidence, optimise tools, techniques, procedures and protocols to improve the quality of the outcomes. They apply evaluative processes to ensure the outcomes are fit-for-purpose and meet end-user requirements.