Focus area 3: Data analytics

Students use computational thinking skills and strategies to analyse relationships in data sets, apply programming and program‑design skills, and use a digital system to transform data into information.

They develop skills in identifying patterns of similarities or repetition in data sets, and making predictions and drawing conclusions from these patterns. They use simple techniques to analyse and display the data.

Students apply their computational thinking skills to identify and define problems using data, and develop solutions. They apply their programming and program‑design skills to create and refine digital solutions. A solution may take the form of a product, prototype, and/or proof of concept.

Students have opportunities to work collaboratively and reflect on ways in which their solution could be used or improved.

Students extend their ethical understanding by researching and discussing the possible ethical implications of data collection, storage, and/or use.

Self‑assessment tools or skills frameworks may be used to support the development and application of students’ skills in working collaboratively.

The following framework provides a set of possible techniques and strategies that can be used for learning.