#ForYou: A Game About Algorithms
#ForYou is a card-based pattern-matching game that helps youth aged 13 to 18 understand the role that algorithms play in their online and offline lives, and the value of their personal information to companies that use those algorithms. The game is designed to be delivered either in school or in community spaces such as homework or coding clubs.
Data Defenders Teacher's Guide
This Teacher’s Guide includes background information, learning expectations and points of discussion on the types of personal information and privacy-management strategies that are presented in the game. The guide also includes an overview of the Data Defenders game, and exercises and handouts to help students to develop skills and confidence to manage their privacy online.
Privacy Pursuit: My Privacy, Your Privacy
In this lesson, students start by considering the permanence of online content. They review privacy strategies and privacy risks and analyze how likely and severe different privacy risks are. They then consider how their actions and decisions can affect others’ privacy and develop a list of “Dos and Don’ts” for managing both their own and others’ privacy.
Internet Time Capsule
In this lesson, students learn about the concept of "time capsules" and then apply the idea by selecting time capsule contents to represent both the time they live in and their own lives and tastes. They then extend this idea to online content, making a "time capsule" of any online content connected to them. Younger students finish the lesson by creating a group Internet time capsule, while older students finish by considering what online content they might like to remove or keep out of their "time capsules."
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.