7–10Science 7–10 Syllabus
The new Science 7–10 Syllabus (2023) is to be implemented from 2026.
2024 and 2025 – Plan and prepare to teach the new syllabus
2026 – Start teaching new syllabus
School sectors are responsible for implementing syllabuses and are best placed to provide schools with specific guidance and information on implementation given their understanding of their individual contexts.
Content
Stage 4
- SC4-DA1-01
explains how data is used by scientists to model and predict scientific phenomena
- SC4-WS-06
uses data to identify trends, patterns and relationships, and draw conclusions
- SC4-WS-07
identifies problem-solving strategies and proposes solutions
Working scientifically
In this focus area, students develop skills in analysing data and information, as well as identifying problem-solving strategies and proposing solutions to problems. Additional Working scientifically outcomes and skills may be integrated with this content.
Loading...The Data science focus area can be taught alongside other focus areas, or aligned to students’ interests, local context or school environment.
Examine a range of sources of data and their applications
Examine the digital footprint created by different online activities to recognise the importance of engaging safely with digital systems
Recognise that data science is an interdisciplinary field that uses statistics, scientific methods and processes, algorithms and systems to develop knowledge by extracting or extrapolating insights from data
Compare and contrast scientific inquiries of natural phenomena with nonscientific approaches
Identify that a scientific model is a representation based on data and observations of real-world phenomena
Identify examples of the types of models used by scientists
Analyse a model to identify data and trends, and generate predictions
Identify that computer-based models enable phenomena to be simulated, and variables can be easily changed to investigate their effect
Identify data and observations used by scientists for the development of a model
Outline how scientists develop workable theories from models
Formulate and investigate scientific questions that can be addressed with data
Conduct repeated experimental trials to calculate and compare the mean and range of data collected by different groups to discuss the accuracy and reliability of experimental data
Analyse data collected from a range of student investigations to look for patterns and test whether data is consistent with an initial prediction
Create a model that can be used to explain an observable phenomenon