Unpack the Curriculum

3-4

Interpret data

Organise data to answer questions.

Students answer simple questions by classifying, grouping, and sorting data (e.g. what is the most common car colour? how many female convicts were in the First Fleet?)

5-6

Interpret data

Organise data to answer questions.

Students reveal patterns by classifying, grouping, and sorting data (e.g. a team rarely wins when playing away) and make predictions (e.g. when playing at home with a big crowd the team is more likely to win).

7-8

Analyse data

Summarise data and infer relationships and trends to create information.

Students summarise data based on its attributes (e.g. sort crime data by type of offence) and identify trends (e.g. burglaries have decreased over time) to draw conclusions and make predictions (e.g. fewer burglaries will happen next year).

Model data

Model objects and events in terms of their attributes.

Students model objects and events (e.g. products in the canteen and the sale of those products) as structured data i.e. the attributes relevant to the task (e.g. product name, price, quantity, nutritional value).

9-10

Analyse data

Summarise data and infer relationships and trends to create information.

Students summarise data, its attributes, and their relationships (e.g. electorates and their demographics) and identify trends and outliers (e.g. national swings and exceptions) to draw conclusions and make predictions (e.g. predicting the election outcome).

Model data

Model objects and events in terms of their attributes.

Students model entities and processes (e.g. a movie, a user, and their movie review), their attributes (e.g. a movie has a title, genre, and release date), and the relationships between them (e.g. a review has a movie, a user, and their rating and comments).

3-4

Visualise data

Present data in various ways to summarise data.

Students present acquired data in different ways to answer questions (e.g. graph plant height to determine if sunlight increases growth).

5-6

Visualise data

Present data to reveal patterns, trends, outliers, or other information.

Students visualise data using graphs (e.g. a scatter plot of student race times with age) and diagrams (e.g. a cricket wagon wheel showing where a player scores runs) to reveal trends.

7-8

Visualise data

Present data to reveal patterns, trends, outliers, or other information.

Students visualise multi-dimensional data by choosing appropriate graphs (e.g. a scatter plot of food prices and sales, coloured by sugar content), diagrams (e.g. a social network diagram), and maps (e.g. crime rates by location) to reveal trends, outliers, or other information.

9-10

Visualise data

Present data to reveal patterns, trends, outliers, or other information.

Students develop interactive visualisations (e.g. population, life expectancy and fertility rate in motion charts) for exploring complex data.