Algorithmic biases can affect educational tools and resources. If educational software relies on gendered assumptions about learning styles or subject matter preferences, it might offer resources that cater to stereotypes, such as suggesting certain subjects or careers to users based on their gender, hence influencing career choices and perpetuating occupational segregation.
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