F-10 Curriculum (V8)
F-10 Curriculum (V9)
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Faith Lutheran College is a secondary co-educational independent school in Plainland, Queensland. It has more than 700 students and was established in 1999. Sarah Atkins is the curriculum officer who works with the school to support implementation of the Australian Curriculum: Digital Technologies. Teachers at the school ...
This document provides a scaffold to teach and assess students’ understanding of how digital systems can be used to monitor and collect information used for mapping and making judgements about the environment. Students record information using digital systems to investigate a school need, then design solutions to improve ...
Paul Mead, from STEM education provider She Maps, discusses unconscious bias in young students and how She Maps is spreading the word about women who work with technologies in the field. He discusses digital systems and explains how geospatial systems and geographical information systems are used to collect, analyse and ...
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. ...
Dr Karen Joyce from STEM education provider She Maps discusses geospatial mapping and methods for teaching underpinning concepts to primary, secondary and tertiary students. Her presentation provides opportunities to think about how we might teach digital systems, data collection and interpretation to our students in context.
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 4 is for the topic of Conduct statistical investigations. Students conduct statistical investigations, collecting data through survey responses and other methods. They record and display data using digital tools, interpret the data and communicate the results of their findings.
This planning resource for Year 8 is for the topic of Statistical analysis. Students focus on understanding that random samples chosen from large populations can show quite different distributions and proportions when compared with each other. Students make connections when different sample sizes are or can be responsible ...
This planning resource for Year 10 is for the topic of Statistical analysis. Students are competent with comparing data distributions and are fluent with the relevant mathematical vocabulary. Extend students to work with other data displays, such as box plots, to represent continuous numerical variables. Review the distinction ...
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 ...
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 planning resource for Year 6 is for the topic of Conduct statistical investigations. Students plan and conduct statistical investigations to collect data to answer a question for an identified problem. They analyse and interpret the data and communicate findings.
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 ...
Learn how to program a BBC micro:bit using Python — no experience required. Learn the basics of programming in Python with our full BBC micro:bit simulator. Create a Smart Garden device to monitor the health of your plants, measuring temperature and wiring up a simple soil moisture sensor.
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 ...
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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.
This lesson uses data about solar energy installations to investigate data analysis. The dataset shows how many solar systems were installed, in each postcode, from 2001 to 2016. It is a useful way to understand how to explore and characterise datasets as well as to explore the use of data in the media. This lesson was ...