F-10 Curriculum (V8)
F-10 Curriculum (V9)
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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 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 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 slalom sports and how competitors maximise speed when completing a course. Students research different slalom sports and then share their findings with the class. Students investigate the impact of distance and friction on time to complete a course through digital and unplugged activities. ...
Kevin Bradley, CEO of Save the Bilby Fund, and Cassandra Arkinstall, a researcher and volunteer at Save the Bilby Fund explain how important digital technologies are in the campaign to save the bilby from extinction. The video explains how digital systems are used to collect and visualise data and help eradicate threats ...
Kevin Bradley, CEO of Save the Bilby Fund, and Cassandra Arkinstall, a researcher and volunteer at Save the Bilby Fund, explain why the bilby is an important indicator of the health of an ecosystem, and how their decline impacts other wildlife. This video gives an overview of what the Save the Bilby Fund does as they work ...
This is a unit for Year 5 from the Scope and sequence resources from the DT Hub. The topic of data collection and presentation is organised into four key elements. Use this flow of activities to plan and assess students against the relevant achievement standards. Students collect their own data and analyse the resulting ...
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 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 understand the importance of data in effective decision-making, and are able to find, sort and interpret Bureau of Meteorology (BOM) rainfall data, and to collect their own data and analyse the resulting datasets.
In this lesson sequence students use Excel to represent data in a variety of ways.
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 sequence of lessons students grow a plant from seed, capturing each step and decision as an algorithmic process and recording data for future learning.
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.
The number of eggs a female turtle lays in her lifetime influences the health of that species population. In this lesson we look at modelling data related to the number of eggs a female turtle lays in her lifetime, using real scientific data. Explore ways to model, interpret, represent and present data, creating an infographic ...
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.
This lesson sequence is designed to introduce students to data analysis using a spreadsheet such as MS Excel. The project is based on a real world problem and a real data set from a weather balloon launched in Australia earlier this year. The project consists of 5 lessons of variable length, each with a different focus. ...
This sequence of lessons explores how conditions in the environment can impact on learning. Through investigating the environmental influences on our classroom, and learning environments such as light, noise and temperature, students collect data and identify the optimal learning environment.
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 AI systems that recommend content in various applications that students use on a day-to-day basis. It draws on students’ ethical understandings during analysis of these systems. This lesson was developed by the Digital Technologies Institute in collaboration with the Digital Technologies Hub.