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Listed under:  Mathematics  >  Statistics and probability  >  Data analysis
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Filter bubbles, bias, rabbit holes and nudging

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.

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Sphero slalom lesson

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. ...

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Create dichotomous keys lesson

In this lesson students engage in a hands-on exploration of local diversity. Students research and record local wildlife, learn about biodiversity in Australia, and conduct a ‘bush blitz’. They learn how to create dichotomous keys and translate their keys into a wildlife discovery app prototype. The resource includes links ...

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DT Challenge - 7/8 Python - Smart garden

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.

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Where’s the mankarr? Recording and visualising data: Part 2

In this second of two lessons, students view a video to record data about the bilby (mankarr). They visualise and interpret the data.

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Reconciliation progress

Students explore the notion of reconciliation in Australia analysing a report – Reconciliation Australia’s Australian Reconciliation Barometer to answer an inquiry question for their statistical investigation.

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The humanoid project

Students explore a large data set.

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Deadly data

Students select a suitable question for gathering data, they collect simple data and record responses, and then use a simple data display to represent, read and interpret data.