Unpack the Curriculum

3-4

Collect data

Gather and record data by counting and measuring.

Students collect different types of data in different ways (e.g. tallying to record the number of cars that drive past the school; measuring the growth of school plants).

Access data

Obtain existing data from an online data source.

Students access data from a file, website or online database as directed by the teacher (e.g. the list of convicts aboard the Charlotte in the First Fleet).

5-6

Acquire data

Gather new data and obtain existing data.

Students collect a range of data (e.g. surveying friends and family, recording temperature and rainfall data) and access data from online databases (e.g. Bureau of Meteorology).

Store data

Record data in ways that allows it to be easily accessed and manipulated.

Students store data using specialised and general software (e.g. survey tools and spreadsheets) appropriate for how it will be accessed and manipulated (e.g. survey tools summarise results, while spreadsheets allow further analysis).

7-8

Acquire data

Gather new data and obtain existing data.

Students acquire data (e.g. design a survey about food preferences and collect canteen sales data) to answer questions for their own investigations (e.g. does the canteen sell the right food?).

Store data

Record data in ways that allows it to be easily accessed and manipulated.

Students store acquired data using specialised and general software (e.g. a pre-defined database) appropriate for how it will be accessed and manipulated (e.g. filtering and queries).

9-10

Acquire data

Gather new data and obtain existing data.

Students develop systems (e.g. a movie or travel review website) that acquire quantitative (e.g. Likert scale and ratings) and qualitative (e.g. written review and user comments) data.

Store data

Record data in ways that allows it to be easily accessed and manipulated.

Students develop systems that store structured data (e.g. a movie or travel review database) for access and manipulation (e.g. creation and presentation of user reviews).

3-4

5-6

Validate data

Ensure data is correct and meaningful for the question being answered.

Students create rules to determine whether the data is correct (e.g. the height of an adult can be between 50cm and 270cm) and ready for analysis (e.g. all measured in centimetres).

7-8

Validate data

Ensure data is correct and meaningful for the question being answered.

Students judge how meaningful data is to a question (e.g. does age affect the chance of cyclist injury?), its correctness (e.g. are self-reported accidents reliable?), and how up to date the data is (e.g. Is the data before cycleways relevant?).

9-10

Validate data

Ensure data is correct and meaningful for the question being answered.

Students develop systems that check data is correct and meaningful (e.g. are reviews representative and trustworthy?) using automated techniques (e.g. types, rules, and UI elements) and manual analysis (e.g. detecting bias and fake reviews).

Privacy and security requirements

Data must be handled according to the Australian Privacy Principles.

Students develop systems that acquire, use, and protect data according to the Australian Privacy Principles (e.g. personally identifiable information is not publicly shared without consent and protected from unauthorised access).