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."

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.

#ForYou: The Algorithm Game

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.

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.

Online Privacy, Online Publicity: Youth do more to protect their reputation than their information

Do young people care about privacy? Participants in MediaSmarts’ 2012 focus groups told us that they valued their privacy highly, despite being enthusiastic participants in platforms and activities that adults see as being about nothing but sharing and broadcasting. Looking at the findings from our Young Canadians in a Wired World survey of more than five thousand students from every province and territory in Canada, we can begin to understand that contradiction: young people may not care that much about what we think of as privacy, but they care very much about control – control over who can see what they post, over who can track them digitally and, most especially, over how other people see them.

Algorithmic Awareness: Conversations with Young Canadians about Artificial Intelligence and Privacy

This blog was written by Samantha McAleese and three youth participants – Sahil, Erin, and Kate (pseudonyms used to maintain anonymity).

Reflections on Conducting Qualitative Research During a Pandemic

What comes to mind when you hear the word algorithm? Can you explain how machine learning works? Do you have any privacy or data collection concerns regarding the increased reliance on artificial intelligence? These are just a few of the questions that we asked young people in our recent qualitative research project Algorithmic Awareness: Conversations with Young Canadians about Artificial Intelligence and Privacy. From November 2020 to January 2021, we facilitated eight focus groups with 22 youth ages 13 to 17, where we combined game-based learning with discussion and reflection to gain insight into how young Canadians understand the relationship between artificial intelligence, algorithms, and privacy.

Social Smarts: Nothing Personal!

A new smartphone is a big responsibility for kids, who have a lot to learn about using them safely, especially when it comes to protecting their privacy.

The Office of the Privacy Commissioner of Canada has created a graphic novel, Social Smarts: Nothing Personal! to help young Canadians to better understand and navigate privacy issues in the online world.