Analyse


This involves the breaking down or deconstruction of data[3] and examination of the separate parts. When analysing students can identify patterns, trends, relationships, and connections; and synthesise these understandings into explanations. Students should have access to a range[4] of data including digital outcomes[1], testing[2], designs, development, research, maps, graphs, diagrams, tables etc. from which to draw inferences.

Terms definitions
1. digital outcomes. Digital Products and systems developed through Technological Practice for a specific purpose. A technological outcome is evaluated in terms of its fitness for purpose, and can be described by their physical and functional nature. Related Articles: Progress Outcomes – Computational Thinking MatrixGlossary: ExploreTask OverviewStage 0 – Project OverviewComputational Thinking« Back to Glossary Index
2. testing. Testing is about confirming decisions and ensuring that the desired result is produced form and outcome or component. Related Articles: Progress Outcomes – Computational Thinking MatrixGlossary: ExploreTask OverviewStage 0 – Project OverviewComputational Thinking« Back to Glossary Index
3. data. Raw facts or figures without context or meaning. e.g. 1, “Boris”, False Related Articles: Progress Outcomes – Computational Thinking MatrixGlossary: ExploreTask OverviewStage 0 – Project OverviewComputational Thinking« Back to Glossary Index
4. range. A selection of items. When asked in the context of an achievement standard it means at least three. In spreadsheets range is a way of selecting a group of cells. A colon is used to separate the starting and ending cells. e.g. B4:F10 Related Articles: Progress Outcomes – Computational Thinking MatrixGlossary: ExploreTask OverviewStage 0 – […]