AC9S10I05 – Year 10 Science: Processing, modelling and analysing
Content Descriptor
This content descriptor sits within Year 10 Science. Use it to identify the learning students need, connect it with the achievement standard and plan suitable evidence of learning.
What this means for planning
AC9S10I05 requires students to connect a variety of data and information, not analyse one source in isolation. A strong task makes the comparison purposeful and asks students to explain patterns, trends, relationships and anomalies using scientific reasoning.
A practical planning sequence
- Assemble complementary evidence: Select data or information from investigations, simulations, databases or published sources that can be meaningfully compared.
- Represent and connect: Have students organise the evidence in forms that reveal patterns and allow links between sources to be examined.
- Explain anomalies and limits: Ask students to account for unexpected observations where possible and identify how processing choices or evidence quality affect the interpretation.
Evidence to look for
- Tables, graphs or other representations that make relevant patterns and relationships visible.
- An explanation that connects evidence from more than one source using appropriate scientific concepts.
- A reasoned treatment of anomalies, uncertainty, limitations or alternative interpretations.
See the complete curriculum context
Open the achievement standard and all linked content descriptors together in the Year 10 Science curriculum map.
A TeaCheese planning example
Use AC9S10I05 in a TeaCheese planning brief to build an analysis task with separate prompts for connection, explanation, anomaly and limitation.
Planning guides: How content descriptions work in the Australian Curriculum · Turn a content description into learning intentions and success criteria
Elaborations
- • Elaboration identifying similar trends and patterns in data from different sources such as homologous structures and fossil evidence
- • Elaboration analysing data regarding the distribution of species in time and space to identify patterns and relationships between organisms
- • Elaboration exploring relationships between variables using spreadsheets, databases, tables, charts, graphs and statistics to make reasoned predictions about global climate change
- • Elaboration representing speed and acceleration data from investigations or simulations in tables and graphs and comparing how these facilitate the identification of relationships
- • Elaboration exploring how different interpretations can be made from data that is organised or processed in different ways, and the implications of this for data analysis
Plan a lesson from this content description.
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