7–10Computing Technology 7–10 Syllabus
The new Computing Technology 7–10 Syllabus (2022) is to be taught from 2024.
2023
- Plan and prepare to teach the new syllabus
2024
- Start teaching the new syllabus
Students who commenced studying the Information and Software Technology 7–10 Syllabus (2003) in 2023 may continue to study that Syllabus in 2024.
Content
Life Skills
Through collaborative curriculum planning, it may be decided that Life Skills outcomes and content are the most appropriate option for some students with intellectual disability.
Identify common everyday uses of data and of analysing data
Identify various types of data and their uses
Explore differences between data and information
Explore small and big datasets
Identify methods of data collection and recording
Explore challenges in the collection of data
Compare the usefulness of different methods of data collection
Explore the uses for data analysis
Collaboratively plan the collection of data for a particular purpose
Recognise that data is sensitive and needs to be stored securely
Explore security of data and its collection
Demonstrate ways to keep data safe
Recognise how programs process data
Engage with different data-analysis tools
Demonstrate how different data is displayed using digital tools
Participate in composing questions for an online questionnaire or survey
Collect various datasets using an online questionnaire or survey for visual analysis
Use formulas in a spreadsheet to analyse datasets
Explore and describe datasets in displayed graphs, tables or charts
Communicate how data can be used in everyday situations
Collaboratively plan the collection of data for a particular purpose
Use a scaffold to manage resources and time to complete a data project
Participate in the collection of data
Collect data and communicate the results
Interpret the collected data and find patterns that may affect a user’s interaction with a program or product
Use collected data from an online questionnaire or spreadsheet to develop a graph, chart or table using appropriate digital tools and technologies
Select the most appropriate software or hardware to display data
Create a display for data collected
Identify data patterns using spreadsheets related to real-world scenarios
Highlight patterns and relationships between sets of data and information
Produce a flat-file database using database software related to real-world scenarios
Collect data and present it using appropriate software
Communicate the importance of data security
Share ideas about data as a useful tool for completing tasks
Independently or collaboratively develop a set of criteria to test displayed models of data using different scenarios
Independently or collaboratively test a designed database using a set of criteria, ensuring that data is displayed correctly and for the intended purpose
Communicate the outcomes of testing
Explore careers that involve analysing data