
The Invisible Machine: Big Data and You
In this lesson, students examine a fictional social network profile to learn how online platforms collect data about their users. They then read an article that explains how platforms use this data and explores some of the issues this raises. Finally, they create a mind map of their own online data profile and reflect on how the data they post may be collected and used by others.

Protecting Your Privacy on Commercial Apps and Websites
Almost all of kids’ favourite apps and websites make money from targeted advertising, which uses their personal information to choose which ads to show them. Many of them also sell the data they collect to data brokers, which use information from many sources to make detailed profiles of users. Some also share it with other apps that are owned by the same company, such as Google and YouTube or Instagram and Facebook.

Unpacking the Black Box: Explaining Algorithms and AI
In this lesson, students learn about algorithms and AI, how they work, how they impact our lives on the internet, and ethical considerations. The lesson begins with a class discussion on algorithms. Students will discuss how AIs reinforce real-world biases, the difficulties in identifying how AIs make decisions, what information algorithms use to make choices, and how that information impacts the types of decisions AIs make. Finally, students will demonstrate their knowledge by researching and designing an infographic on a field that uses algorithms to make decisions. This lesson aims to build critical thinking skills by examining how AI algorithms work, investigating the biases and impacts of AI decision-making, and reflecting on how the implications to their own lives.
Playing With Privacy
In this lesson, students are introduced to the idea that their gaming experiences may compromise their personal information.