F-10 Curriculum (V8)
F-10 Curriculum (V9)
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This planning resource for Year 8 is for the topic of Interpret and discuss data displays. Students collect data to create a sample. Students consider whether the data is coming from direct or primary sources or is derived from secondary data.
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.
This planning resource for Year 8 is for the topic of Collect, sort and compare data. Students examine different techniques for collecting types of data and begin to consider the challenges of collecting representative data by sampling a population.
This planning resource for Year 9 is for the topic of Collect, sort and compare data. Students examine different techniques for collecting types of data and begin to consider the challenges of collecting representative data by sampling a population.
This planning resource for Year 5 is for the topic of Conduct chance experiments. Students conduct repeated chance experiments including those with and without equally likely outcomes. They then observe the outcome of their chance experiments, record data and describe the relative frequencies.
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.
Collect data on the biodiversity in garden beds around your school to measure the biodiversity (that is the different types of plants and animals). Explore ways to represent and present data. This lesson was devised by Linda McIver, Australian Data Science Education Institute.
In this lesson, students conduct a statistical investigation, collecting and analysing data using percentages, and choosing efficient calculations and strategies. The investigation is communicated visually and verbally to the teacher and peers. Students reflect on feedback and consider revisions for the investigation.
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 ...
This PDF provides activities for collecting, analysing and representing data about litter in the local community. It prompts students to consider the implications of rubbish in the local environment, and suggests actions students can take in order to reduce litter.
This Word document provides sequences of achievement standards for the Technologies learning area in the Australian Curriculum
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 resource provides strategies for assessing aspects of the Digital Technologies subject in the Australian Curriculum that relate to data using contexts from other learning areas and General Capabilities, including Science, Mathematics, Numeracy and Literacy. The resource includes an assessment planner and rubric, as ...
This PDF provides suggestions for using bread tags and plastic bottle caps to collect, organise and represent data.
This article explores the concept of computational thinking within computer science learning and in relation to other learning areas. The authors assert that because of its focus on analysis, computational thinking is not only suitable for computation but also the development of systems-based on computation.
This video demonstrates ways in which data can be analysed and visualised. It is the final in a series of four.
These matrices allow teachers to self-assess their ICT Capability and Digital Technologies proficiency. They include a notes section for teachers to plan future professional learning.
This PDF lists seven characteristics of good teaching practice in the Digital Technologies curriculum.
This article explores the benefits of an interdisciplinary STEM program in the quest for providing students with a holistic approach to problem-solving that reflects real-world practice. This is supported by a conceptual framework that comprises four constructs: systems thinking, situation learning theory, constructivism ...
This newsletter from the Digital Technologies in Focus project includes information about schools' projects, the Australian Curriculum, and useful resources.