F-10 Curriculum (V8)
F-10 Curriculum (V9)
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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 ...
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 ...
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 ...
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 is a unit for Year 6 from the Scope and sequence resources from the DT Hub. The topic of digital systems is organised into four key elements. Use this flow of activities to plan and assess students against the relevant achievement standards. Students learn about input and output devices and then use Makey Makey boards ...
Reducing carbon dioxide emissions and sustainable energy use and are two of the major issues facing the world today. This project explores energy use in homes, and compares individual energy use with the class average and calculate and graph CO2 emissions.
In this lesson sequence students survey and collect data concerning what is brought to school each day and subsequently becomes rubbish. They then use Excel to represent that data in a variety of different ways.
In this lesson sequence students write a simple suite of programs that can be used to facilitate an S.R.C. election though the collection and processing of data. It assumes that students have been introduced to Python programming language.
Students explore aspects of animal adaptation prior to applying their knowledge to construct their own digital creature using littleBits electronic sets.
In this sequence of lessons students explore how electrical energy can be transferred and transformed in electrical circuits, using Makey Makey boards as the basis for experimentation and recoding of data.
In this lesson sequence students use Excel to represent data in a variety of ways.
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.
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.
Throughout the lesson sequence, students keep and maintain a reflection log with key content to inform the development of an infographic.
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 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 ...
Use this assessment task to explore data collection, analysis and presentation.
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 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 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 ...