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 5
Working scientifically
In this focus area, students develop skills in analysing data and information, problem-solving and communicating scientific arguments with evidence. 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.
Discuss the features of investigable and non-investigable questions, including considerations of available resources
Investigate how scientific knowledge is verified and refined by scientists through hypothesis testing and peer review
Develop criteria and use them to evaluate whether online content is valid and reliable
Identify a claim that can be scientifically tested with an investigation, or series of investigations, to test the claim
Explain the evidence and reasoning used to support conclusions about claims, using data from investigations
Conduct a written scientific argument showing how a range of evidence supports a claim
Explain the distinction between science and pseudoscience using examples
Identify examples of pseudoscientific claims
Investigate incidences of pseudoscience in popular media
Investigate how data, or its analysis and interpretation, can be distorted to manipulate findings that support specific viewpoints
Determine if an assertion of a claim or theory is pseudoscientific
Outline the features, collection, uses and applications of large datasets
Use available large datasets to develop and test a question
Conduct a descriptive analysis of a large dataset
Identify and outline the benefits of using descriptive statistical analysis techniques to assist in recognising or communicating patterns
Conduct a univariate analysis and a bivariate analysis using large datasets
Recognise the difference between causal and correlational relationships
Explore the role of large datasets and statistical analysis in validating scientific findings
Use data to make evidence-based decisions about a familiar issue and assess the implications of these decisions