F-10 Curriculum (V8)
F-10 Curriculum (V9)
Tools and resources
Related links
Your search returned 152 results
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 learn about the diverse roles of science communicators and are challenged to create their own science communication text in a contemporary medium. Students will explore the important function science communicators play in informing the community and how different communication platforms are used ...
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. ...
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 ...
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 planning resource for Year 3 is for the topic of Conduct statistical investigations. Students conduct guided statistical investigations, collecting data through survey responses and other methods. They record and display data using digital tools, interpret the data and communicate their results.
This planning resource for Year 7 is for the topic of Represent collected data. Students expand their knowledge of numerical data displays. Students draw or use digital software, to create their graphs or charts. Give ample opportunities to practise drawing stem-and-leaf plots, especially choosing the correct stems. Then, ...
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.
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.
Throughout the lesson sequence, students keep and maintain a reflection log with key content to inform the development of an infographic.
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 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 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 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 ...
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.
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.
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 ...
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 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.