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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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Future proofing data

This lesson sequence aims to identify strengths and weaknesses of past, present and future methods of data storage and recognise the risks and benefits for users. Students explore specific “data dilemmas”.

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Digital Technologies Hub

The Digital Technologies Hub is a website that supports Australian primary teachers, secondary teachers, students, school leaders and school communities in engaging with the Australian Curriculum: Digital Technologies. The hub provides scaffolded support for teachers and many of the resources will assist those getting started ...

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Cyber security analysis from The Conversation

This is a collection of articles about cyber security. It includes articles on cyber-espionaage, cyber crime, data security, government policy around cyber security, and international perspectives including from US, China and UK. The articles are written in plain language and are authored by experts from universities in ...