Addressing AI in the Classroom: Tips for Teachers
Teachers can play a critical role in educating their students about AI, even if they aren’t experts on it. By addressing AI in ways that are designed to build students’ skills and teach them about the pitfalls of relying too much on it, teachers can help build the next generation of citizens who are empowered with the skills necessary to succeed in a world infused with AI technology.
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.
Young Canadians Speak Out: A Qualitative Research Report on Privacy and Consent
Informed Youth Promote Clarity for All
It’s something we’ve all done before: scrolled past a wall of text to click “I Agree” with no idea what we’ve agreed to. Then, when we’re using the platform, messages like “We’ve made some changes to our Terms and Conditions” simply remind us that we probably didn’t read them in the first place. Our world is becoming more and more influenced by the data that’s being collected about us. For young people in particular, this can lead to serious and unexpected consequences that could affect their entire lives.
#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.
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.