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Detecting Gender Bias in Course Evaluations
April 3, 2024, 4:41 a.m. | Sarah Lindau, Linnea Nilsson
cs.LG updates on arXiv.org arxiv.org
Abstract: An outtake from the findnings of a master thesis studying gender bias in course evaluations through the lense of machine learning and nlp. We use different methods to examine and explore the data and find differences in what students write about courses depending on gender of the examiner. Data from English and Swedish courses are evaluated and compared, in order to capture more nuance in the gender bias that might be found. Here we present …
abstract arxiv bias course courses cs.cl cs.lg data differences explore gender gender bias machine machine learning master nlp students studying thesis through type
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