F-10 Curriculum (V8)
F-10 Curriculum (V9)
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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.
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.
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 ...
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 planning resource for Year 5 is for the topic of Interpret and compare data displays. Students interpret line graphs representing change over time. They discuss the relationships that are represented and draw conclusions.
This planning resource for Year 9 is for the topic of Interpret and discuss data displays. Students will be presented with various digital media to investigate and evaluate findings from reports of surveys. Students will make informative decisions based on their prior knowledge of sampling and data collection to make judgements ...
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.
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 ...
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 ...
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.
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 consider contemporary research approaches to disease identification. First, they conduct an experiment to test how sensitive their sense of smell is and explore how our sense of smell functions. Students then learn about at how animals are trained to use their sense of smell to detect human disease. ...
This planning resource for Year 7 is for the topic of Conduct statistical investigations. Student have been learning about measures of spread in terms of mean, median, mode and range. They use these values to interpret data and data displays. They are familiar with statistical terminology and are ready to conduct their ...
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 use BeeBots and Scratch Junior to synthesize what they know about Bees and are introduced to mapping concepts. This lesson idea was created by Karen Butler.
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 ...
This planning resource for Year 9 is for the topic of Conduct statistical investigations. Students plan and conduct a statistical investigation. Encourage students to think creatively to come up with a topic for investigation; prompt students to choose a topic of interest so that they engage in the process and are motivated ...
This planning resource for Year 5 is for the topic of Conduct statistical investigations. Students plan and conduct a statistical investigation. They pose questions and collect data using simple surveys or checklists. They select appropriate ways to display the data, interpret the represented data, and communicate their findings.
This planning resource for Year 3 is for the topic of Interpret and compare data displays. Students create and compare different graphical representations. They interpret the data and make generalisations.