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4min chapter
Big data and algorithmic bias in education: what is it and why does it matter?
Ed-Technical
Understanding Algorithmic Bias in Education
This chapter explores insights from educational data mining, particularly addressing dropout rates and the effectiveness of learning systems across various demographics. It highlights the critical differences between human and algorithmic bias, discussing the need for careful analysis to mitigate bias in educational algorithms and the broader societal implications.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode