The #ForYou discussion guide includes a gameplay overview, instructions on how to run the game as a workshop, a pre-brief and debrief before and after each round of the gameplay to introduce and discuss key ideas about algorithms, rules for quickplay, and a glossary of key terms.
When my kids saw the TikTok app icon on my phone, both of them had the same reaction: “WHAT? Why are you on TikTok?” While I thought it was because they wanted to tell me I was too old for the app, it was more that they really didn’t understand the appeal since they aren’t current users (for now).
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.
Not many words have had a rise as meteoric as the term “algorithm.” Once only familiar to mathematicians or computer scientists, today algorithms are the subject of warnings from scholars and activists, protested by students whose future lives and careers are increasingly determined by algorithmic decision-making, personified and catered to by would-be YouTube stars, and seen as the almost magical element that is vital to the success of newer platforms such as TikTok.
In this lesson, students play the educational card game #ForYou: A Game About Algorithms and use it as a prompt to learn about and discuss the role that algorithms, data collection, and machine learning play in their lives. After playing, they analyze the game as an example of a serious game and then design their own serious game to communicate some of what they have learned in the lesson.
In this four-day unit, students will examine the role of popular culture celebrities in creating awareness of world issues.
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.