F-10 Curriculum (V8)
F-10 Curriculum (V9)
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The dataset provides statistics about the estimated resident population, median age and sex ratio by countries of birth for the latest year of available data. It is periodically updated by the Australian Bureau of Statistics (ABS). The dataset is included in the list of related datasets on the page in MS Excel format.
The dataset provides information about 780 of the convicts transported to Australia on the First Fleet ships 'Alexander', 'Charlotte', 'Lady Penrhyn', 'Friendship', 'Prince of Wales' and 'Scarborough' in 1788. The dataset includes information on items such as the convict's name, occupation, crime, date of trial and term ...
In this lesson, students explore connections between science, design, and technologies through the lens of food innovation and food science. Students look at interesting and unusual food products, using food textures as a jumping off point to explore the relationship between chemistry and food. Students then experiment ...
This planning resource for Year 4 is for the topic of Interpret and compare data displays. Students build on their use of data displays (visualisations) as well as extending their interpretation of data displays. The focus is to compare different representations of a dataset and analyse the effectiveness of different displays. ...
This planning resource for Year 4 is for the topic of Conduct statistical investigations. Students conduct statistical investigations, collecting data through survey responses and other methods. They record and display data using digital tools, interpret the data and communicate the results of their findings.
In this lesson students engage in a hands-on exploration of local diversity. Students research and record local wildlife, learn about biodiversity in Australia, and conduct a ‘bush blitz’. They learn how to create dichotomous keys and translate their keys into a wildlife discovery app prototype. The resource includes links ...
This planning resource for Year 8 is for the topic of Interpret and discuss data displays. Students collect data to create a sample. Students consider whether the data is coming from direct or primary sources or is derived from secondary data.
This planning resource for Year 8 is for the topic of Conduct statistical investigations. Student bring together their learnings and plan a statistical investigation using known data or by conducting statistical data collection themselves. Students identify potential data collection and analysis from available data sets ...
This planning resource for Year 8 is for the topic of Collect, sort and compare data. Students examine different techniques for collecting types of data and begin to consider the challenges of collecting representative data by sampling a population.
The lesson follows an inquiry process where students use the dataset to answer relevant questions about the whale population. They consider what other data they would need in order to effectively examine the impact on humpback whales of sonar activity and noise from development.
This lesson focuses on the analysis of a dataset that records scientific data collected about the crocodile population in the Kimberley region during 2015. The lesson follows an inquiry process where students use the dataset to answer relevant questions about the crocodile population. It also provides an opportunity for ...
This lesson uses data about solar energy installations to investigate data analysis. The dataset shows how many solar systems were installed, in each postcode, from 2001 to 2016. It is a useful way to understand how to explore and characterise datasets as well as to explore the use of data in the media. This lesson was ...
In this lesson, students conduct a statistical investigation, collecting and analysing data using percentages, and choosing efficient calculations and strategies. The investigation is communicated visually and verbally to the teacher and peers. Students reflect on feedback and consider revisions for the investigation.
In this lesson students are guided through solving a problem using mathematical modelling. Students are guided through the process of formulating a problem that can be solved using a mathematical modelling approach. A professional sporting context allows students to engage in a common basketball scoring move: shooting ...
Use this assessment task to explore data collection, analysis and presentation.
By gathering data on marine turtles, scientists have evidence that helps them work out where turtles migrate and the journeys they take. Scientists can then help to reduce the threats to the turtles’ survival. In this lesson we look at satellite tracking using real scientific data. Explore ways to model, interpret, represent ...
Collect data on the biodiversity in garden beds around your school to measure the biodiversity (that is the different types of plants and animals). Explore ways to represent and present data. This lesson was devised by Linda McIver, Australian Data Science Education Institute.
The dataset provides statistics about the population of Australia in terms of age and sex from 1901 to 2014. It is made available by the Australian Bureau of Statistics (ABS). The dataset is in MS Excel format.
This is a digital resource containing data on various agricultural practices used on Australian farms, and was collected in a 2011-2012 Australian Bureau of Statistics survey. This resource provides information about farming practices including pasture and crop cultivation, livestock and feral animal management, fertiliser ...
This sequence of two lessons explores data sampling methods and measures of spread applied to a real world context of sporting teams. Students explore variation in the salaries of NBA players using real world data. They calculate means and medians, draw graphs, compare findings, and investigate the implications of obtaining ...