First Person
In this lesson students consider diversity representation in video games by identifying examples of diversity in the games they play, comparing their findings to statistics on diversity in the Canadian population.
In this lesson students consider diversity representation in video games by identifying examples of diversity in the games they play, comparing their findings to statistics on diversity in the Canadian population.
Students are introduced to the idea of “privilege” in relation to diversity and how it applies to media. They then look at a checklist of media related privileges to help them understand the concept.
In this lesson students consider the meaning of the words “bias” and “prejudice” and consider how bias may be found even at the level of individual words due to connotation.
In this lesson students learn about the history of blackface and other examples of majority-group actors playing minority-group characters such as White actors playing Asian and Aboriginal characters and non-disabled actors playing disabled characters.
First of all, you can’t choose to give up privilege – privilege is by definition an unearned advantage and you cannot choose to not have it. Guilt and shame are not, however, productive ways to deal with this.
Two of the most important kinds of information we look for online are about health and science: almost half of Americans, for example, report seeing science content in the previous few weeks, and a third follow a science-focused page or account online. However, nine in 10 Canadians, have seen misinformation on at least one of those topics.
Whether it’s to prepare for the future job market or just to manage the lives they already lead online, young Canadians need to be digitally literate. But what exactly is digital literacy, and how can we ensure that all Canadian youth are learning the digital skills they need?
The changes in how news is consumed (and produced) described above have also made it harder to verify if a particular news item is accurate – and made it easier for misinformation to be spread, either intentionally or unintentionally.
Everywhere we turn, we’re hearing about artificial intelligence (AI). We already know AI is all around us – algorithms are suggesting what to watch and tools like ChatGPT and Midjourney are being used to generate the content we’re seeing. But how many of us actually understand what algorithms even are? And if you’re a parent, guardian or teacher, are you prepared to teach youth how to use AI responsibly?
One of the hardest things about being a responsible sharer is to be aware of your own biases, the reasons why you might be more likely to believe something without evidence. These are aspects of the way we think that can lead us to accept false statements, reject true ones, or simply not ask enough questions.