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• TLF-IDA003461

The soil moisture sensor project integrates science understandings and computational thinking to solve a problem about sustainable watering practices. This lesson was devised by Trudy Ward, Clarendon Vale Primary School, Tasmania.

• TLF-IDA002740

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 ...

• TLF-IDA002714

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 ...

• TLF-IDM021739

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 ...

• TLF-IDM025445

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.

• TLF-IDM018952

This is a unit of work comprising five sequences of activities in which students investigate cattle and sheep production systems and present a documentary, song, poster or brochure in response. In the first sequence, students engage with the industries, sources of information and possible forms of response. In the second ...

• TLF-IDM021025

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.

• TLF-IDM021017

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.

• TLF-IDM021012

Students explore aspects of animal adaptation prior to applying their knowledge to construct their own digital creature using littleBits electronic sets.

• TLF-IDM021026

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.