F-10 Curriculum (V8)
F-10 Curriculum (V9)
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This is a teacher resource containing a sequence of lessons for investigating farming and crop yields in Australia. It contains material to assist planning, implementing and assessing a study of the environmental, economic and technological factors that influence crop yields, and the role of geographical data systems and ...
This is a teacher resource containing a series of inquiry teaching sequences about life on farms in Australia. It contains material to assist the planning, implementing and assessing a study of five primary industry sectors involved in food and fibre production. The tasks in this resource are based around illustrated maps ...
This resource is a 32 page pdf integrated inquiry unit, for junior primary students, exploring how the distinctive qualities of a farm space influence farming practice. This unit uses the five stage inquiry model to sequence activities. Topics explored include: how do weather patterns and seasons affect farms?; Why are ...
This is a teacher resource containing a sequence of activities for investigating farms and the connections that diverse groups of people have to them. It contains material to assist planning, implementing and assessing a study of different Australian farms, the primary resources that come from farms, and connections that ...
The Western Australian Marine Science Institution has been collecting data about dugongs off the coast of the Kimberley in Northern WA. We have been provided with the raw data from its sightings trips. In this project students will learn how dugong sightings are conducted, and develop the data-science skills needed to make ...
The lesson follows an inquiry process in which students use a dataset to answer relevant questions about the turtle population. They consider how to analyse and display the data in order to effectively examine the impact of rising global temperatures on flatback turtle populations.
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.
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 ...
Students engage in a photo rip up activity to emphasize the permanency of online information, they explore factor trees, doubling and line graphs through the lens of sharing information, and they collaboratively develop a set of protocols around sharing information online.
This lesson builds on How can an AI recognise what is sees? It focuses on image recognition that involves feature extraction, object detection and classification, and introduces the idea that computers store and use data using 0s and 1s.
Students are given a bitmap image made up of coloured pixels. They explain how the image is made up of binary digits that represent each pixel. Students represent 8 colours using binary digits. Teachers assess the student’s demonstrated knowledge/skills using the checklist provided.
In this lesson, students explore different approaches to data representation, with the aim of engaging audiences with scientific data. They explore local temperature and rainfall datasets over time and represent trends in innovative ways. Students learn about different ways to visually represent climate change, looking ...
This lesson provides an opportunity to incorporate representation of data using a relevant context being studied in the classroom. Students represent an object using a line drawing, focusing on the features of the object that enable it to be easily recognised. Students experiment with creating representations using an AI ...
This lesson is an introduction to the way in which a computer sees. It focuses on image recognition that involves feature extraction, object detection and classification. This lesson was developed in collaboration with Dr Karsten Schulz, Digital Technologies Institute.
In this lesson students learn the features of the five main biomes, and use ClassVR headsets and CoSpaces to design and create a virtual biome to explore. They research and identify the features of a biome and then create their own virtual environment. The resource explores the human impacts on biodiversity and explore ...
Throughout the lesson sequence, students keep and maintain a reflection log with key content to inform the development of an infographic.
Use this assessment task to explore data collection, analysis and presentation.
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 ...
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 ...
Discuss emotions as a class, and introduce the idea of artificial intelligence (AI). This lesson can also be used to introduce image classification – a key application of AI. Developed in collaboration with Digital Technologies Institute.