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 ...
This is a website designed for both teachers and students that addresses data comparison from the Australian Curriculum for year 9 students. It contains material on comparing data by developing questions, conducting data collection, displaying data and exploring and interpreting that data using a range of strategies. There ...
These seven learning activities, which focus on the use of 'real data' using a variety of tools (software) and devices (hardware), illustrate the ways in which content, pedagogy and technology can be successfully and effectively integrated in order to promote learning. In the activities, teachers use the three content strands ...
This planning resource for Year 9 is for the topic of Represent collected data. Students are familiar with different types of visualisations of data and variables and can evaluate and interpret data displays. Students can label data as categorical (ordinal or nominal) or numerical (discrete or continuous) and consider which ...
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.
Nathan Alison from Digital Learning and Teaching Victoria (DLTV) explains what systems thinking is and how it is used in the context of Digital Technologies. Nathan explains what we need to consider when teaching digital systems, covering topics such as networks, hardware and software protocols, people and processes.
This video provides an introduction to the ways in which Digital Technologies can be used to develop students' learning in the Numeracy Learning Progression.
In this video, Professor Tim Bell discusses helpful ways of understanding and teaching computational thinking, a key idea of the Australian Curriculum: Technologies.
Jennifer Hemer from Natural Resource Management Tasmania explains what's happening in the seafood industry in her state and how digital technologies are used to make the industry more sustainable.
Simon Collier, Digital Technologies in Focus Curriculum Officer, takes viewers though a lesson from the Digital Technologies Hub exploring how machine learning can be used to organise photographs.
This PDF outlines Faith Lutheran College's proposal to participate in the Digital Technologies in Focus project.
In this laptop-friendly resource, students summarise the statistical process, design a sample survey and design a community brochure that displays large data sets using Excel charts.
This is an interactive resource about statistics that allows students to investigate the effect of different datasets on the mean, median and mode. The student can enter data by selecting the central graph section of the screen to add, remove or move blocks, or by typing into the text area of the screen. The three different ...
This is a unit for Year 9 from the Scope and sequence resources from the DT Hub. The topic of data is organised into four key elements. Use this flow of activities to plan and assess students against the relevant achievement standards. Students examine ways data from individuals and connected technologies is used to inform ...
This is a unit for Year 10 from the Scope and sequence resources from the DT Hub. The topic of data is organised into four key elements. Use this flow of activities to plan and assess students against the relevant achievement standards. Students use tools to organise data and make sense of complex data to identify patterns ...
This sequence of two lessons examines trends in the names of students in the class, as well as trends in popular names from 2017 and 1957. Students explore data associated with these names and decide whether the mean, median or mode might be a suitable measure of central tendency. They develop their skills with spreadsheets ...
This inquiry-based unit of work was created, trialled and peer reviewed as part of a professional learning program in inquiry-based learning for school teachers. The professional learning courses were part of a pilot partnership between the NSW Government’s Sydney Metro transport agency and Western Sydney University. The ...
This sequence of two lessons explores data sampling methods and measures of spread applied to a real world context of sporting teams. Students explore variation in the salaries of NBA players using real world data. They calculate means and medians, draw graphs, compare findings, and investigate the implications of obtaining ...
This sequence of two lessons explores how statistical techniques that rely on randomly generated data can be used to solve problems. In the first lesson, students compare different methods for calculating the area of an irregular shape, using the context of oil spill maps. They are introduced to the Monte Carlo method for ...
This is a 29-page guide for teachers. Box plots are introduced as another graphical tool and are used for comparisons of data. Scatter plots are used to explore relationships between quantitative (usually continuous) variables.