The use of algorithms in universities to predict student success has been a topic of much debate. While these systems claim to be unbiased, there are concerns about the potential for racial bias. Can a mathematical formula accurately predict the academic performance of students from diverse backgrounds? What measures are in place to ensure fairness and equity in these predictive models? With technology playing an increasingly significant role in education, it’s important to critically examine the impact of algorithms on the future of student success, especially in relation to racial equality and inclusivity.

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source: Phys.org