Teaching sequences for AC V9

Students use mathematical modelling to explore codebreaking. 

Students use linear models to investigate how screen time contributes to carbon dioxide emissions. They consider their personal digital footprint and make predictions about future emissions.

Students use data to (re)create two rules of thumb and apply mathematical models to predict the rate of spread of bushfires.

Using the context of Baldwin Street, the world’s steepest residential street, students measure and represent steepness in multiple ways, connect gradient to tangent, and consider how mathematical information is communicated to real audiences.

Students investigate the relationship between wealth and happiness using real-world data, constructing and interpreting scatterplots, lines of best fit, and $r^2$ values. They compare models, make predictions, and consider the limits of correlation in explaining real-world phenomena.