From feedback to Insight: Uncovering gender bias in STEM evaluations through NLP
Gender bias in faculty evaluations threatens equity in higher education. Our study uses Natural Language Processing (NLP) to analyze 70,000 student evaluations from a Latin American STEM university, revealing statistically significant disparities in how students assess male and female professors and...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Social Sciences and Humanities Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590291125005194 |
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