In this lesson, students learn what makes something an ad and how to distinguish advertisements from reviews, focusing on the key concepts of genre, tropes, bias, disclosure, and framing. Students begin by viewing and analyzing a video to prompt critical questions about the creator’s intent and visual style, then delve into the advertising genre by learning about its essential elements, like the presence of a product and brand. Students examine the differences between the “ad” and “review” genre and also use companion reading skills to evaluate the reliability and potential bias of a source by searching for undisclosed "brand deal" or "sponsored" content. Finally, students create two media pieces about the same product—one crafted as a persuasive ad and the other as an honest review—to demonstrate their ability to apply the genre elements and tropes learned throughout the lesson.

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.

This is the second lesson in the Critical Thinking Across the Curriculum series, though it can also be delivered independently. In it, students are introduced to the idea of using information sorting to determine whether sources are worth their attention and then to do critical close readings of those that are. After learning and identifying the differences and similarities between the two steps, they learn the characteristics of a reliable source and make a list of companion texts that can be used to determine if a source has those characteristics. After practicing that process, they learn some examples of critical close reading skills and use a possibility grid to do a close reading of a news article. Finally they plan, carry out, and reflect on an information sorting process to make sure they are getting a full and accurate picture of the news story’s topic.

This is the first lesson in the Critical Thinking Across the Curriculum series, though it can also be delivered independently. In it, students learn the difference between facts and opinions, and distinguish between opinions that are entirely subjective and ones that can be supported by facts. They then learn how to construct and evaluate arguments.

This is the third lesson in the Critical Thinking Across the Curriculum series, though it can also be delivered independently. In it, students learn how we can be persuaded by emotional appeals as well as by arguments. After identifying emotionally charged words, they find them in an article and analyze their persuasive effect. Students study a public service announcement to examine how images and story can be emotionally persuasive, then watch a pair of videos to compare how they use emotional persuasion. They then conduct a red teaming exercise to identify the possible risks or drawbacks of using emotional appeals and ways of mitigating those. Finally, they create their own persuasive work using emotionally charged languages, images and music.

Screen time is one of parents’ top tech-related concerns, according to MediaSmarts’ research, and it’s the most common source of tech-related conflict between parents and young people in Canada. Kids are worried about their screen use too: almost half say they spend too much time on their phones.

In this lesson, students learn about algorithms and AI, how they work, how they impact our lives on the internet, and ethical considerations. The lesson begins with a class discussion on algorithms. Students will discuss how AIs reinforce real-world biases, the difficulties in identifying how AIs make decisions, what information algorithms use to make choices, and how that information impacts the types of decisions AIs make. Finally, students will demonstrate their knowledge by researching and designing an infographic on a field that uses algorithms to make decisions. This lesson aims to build critical thinking skills by examining how AI algorithms work, investigating the biases and impacts of AI decision-making, and reflecting on how the implications to their own lives.