Data Defenders: Understanding data collection online
In this lesson, students explore the concepts relating to data collection that are introduced in the educational game Data Defenders. The lesson will underscore for students the idea that their data is valuable and worthy of careful management by analyzing the platforms, applications and websites they use through the lens of the five privacy tools (which address the five principal ways data is collected online) introduced in Data Defenders. Finally, students consider how to apply these tools to their own online activities.
What is AI?
This guide provides an overview of what AI is – and in particular Generative AI – and gives two examples of main AI tools you are likely to encounter. Then it explains some key ethical and social issues related to Generative AI.Pay For Play
In this lesson, students discuss their experiences playing free online games and then learn the costs of these “free” games in the form of paying with money, sharing personal information or providing attention to advertising or branded content. Students then learn a variety of techniques for mitigating the risks and drawbacks of online games and communicate their learning by describing one of these techniques in video-game terms.
The Privacy Dilemma
In this lesson students learn the ways that the apps they use are designed to encourage them to share more information—both with other users and with the apps themselves. They are then introduced to the idea of persuasive design or “dark patterns” and investigate whether these are used to make it more difficult to opt out of data collection on popular apps. Finally, the class creates a “rogues’ gallery” to help them identify dark patterns when they encounter them.