How can you help pre-teens understand the value of their personal information and empower them to take steps to manage and protect it? Data Defenders, an educational game for children ages 10 to12, lifts the curtain on data collection by showing how apps and games can find out all kinds of things about them and by providing steps they can take to control the collection of personal information online.
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.
I have teens, but up until recently they didn’t have social media accounts (although, I suppose Discord may count as one).
They hadn’t had much interest in the past, other than a few requests for Snapchat and Instagram that came and went almost as quickly as they were mentioned. But recently, my eldest asked again about Instagram and through conversations together it seemed like the logical time to get one.
It’s time to buy a smartphone for my youngest (who is only a few months away from being 14 years old). While we know there are considerations and conversations needed around the use of phones, safety, apps, privacy and other responsibilities when owning a phone, we also know the time is right.
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.
It’s easier than ever to know the whereabouts of your family and friends. There are devices you can buy with wearable GPS systems. Effectively, you can be traced and tracked by loved ones.
By Samantha McAleese, research associate at MediaSmarts and
David Fowler, vice-president, marketing and communications at CIRA.
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 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."