F-10 Curriculum (V8)
F-10 Curriculum (V9)
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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.
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 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, ...
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 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.
Use this assessment task to explore data collection, analysis and presentation.
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.
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 2 is for the topic of Acquire, record and represent data. Students review, consolidate and extend upon existing data understandings and skills. They collect data through surveys, observations and experiments. They explore and create different graphical representations of the data acquired. ...
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 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 6 is for the topic of Statistics in the media. Student develop their statistical literacy skills and critically analyse the way statistical information is presented in the media.
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.
Throughout the lesson sequence, students keep and maintain a reflection log with key content to inform the development of an infographic.
This planning resource for Year 1 is for the topic of Acquire, record and represent data. Students consolidate and extend upon their knowledge of data. They collect and record categorical data in various ways including using tally marks, objects and drawings. They represent data using one-to-one displays and refer to these ...
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.
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.
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 ...