Affiliation:
1. University of Maryland, College Park, USA
Abstract
Today, adolescent learners are exposed to deepfakes from online news to social media. They need data literacy—being able to pose questions about data, extract relevant information, and evaluate claims about data—to retrieve factual information and take informed actions. However, not many students in the U.S. are equipped with data literacy to detect deepfakes. This chapter examines existing practices for teaching and assessing data literacy and suggests best practices for supporting adolescent learners in attaining data literacy. This chapter also discusses the future steps needed to implement these best practices in the classroom so that young learners can mitigate the impacts of deepfakes in their lives.
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