F-10 Curriculum (V8)
F-10 Curriculum (V9)
Tools and resources
Related links
Your search returned 358 results
This activity outlines the process to undertake a biosecurity surveillance of a school environment. The teacher guide, slides and student sheets identify some invasive pests that represent a threat to NSW agriculture including cane toads, fire ants and exotic bees. The activity could be adapted for other locations.
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 resource provides activities in which students collect, represent and interpret data about the fruit and vegetables they bring to school.
This infographic provides an overview overview of the concepts related to computational thinking.
This PDF provides a line of sight from content descriptions to achievement standards in the Digital Technologies subject in the Australian Curriculum.
This PDF presents content descriptions and achievement standards for the Digital Technologies subject in the Australian Curriculum
This video demonstrates ways in which data can be analysed and visualised. It is the final in a series of four.
This PDF uses colour coding to provide a line of sight between key concepts, content descriptions and achievement standards in the Digital Technologies subject in the Australian Curriculum.
Digital Technologies in Focus curriculum officers discuss a lesson about Artificial Intelligence and curriculum links for teachers
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.
Andrew Harris from the Hagley Farm School in Tasmania shares ways in which the school is teaching Digital Technologies and its meaningful use in agriculture . For example, Andrew provides examples of ways students learn about digital systems and data collection.
This Manual assists teachers and students establish butterfly gardens in their schoolgrounds. It provides information about butterfly lifecycles, habitats, adaptations, and requirements to live. The manual also provides local Indigenous perspectives of butterflies, along with useful links to websites. The manual accompanies ...
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 ...
This document illustrates the network of people and resources that make up Faith Lutheran College's Professional Learning ecosystem.
This video provides an introduction to the ways in which Digital Technologies can be used to develop students' learning in the Numeracy Learning Progression.
The Years 9-10 assessment task focuses on digital systems (integrating Digital Technologies and Science). The digital systems activity guide provides a scaffold to teach about and assess students’ understanding of how digital systems can be used to monitor the school environment. Students learn how to create environmental ...
This PDF is a worksheet that accompanies the years F-2 sample assessment task called Stepping out.
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 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. ...