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- W4312742543 abstract "Anonymous student teacher evaluations are commonly used to evaluate the quality of computing instructors at the university level. However, such teaching evaluations are subject to gender and sex-based biases, calling into question their utility and scope. In this paper, we first use data from a large public American university to replicate previous findings showing that significant sex-related differences persist in computing teaching evaluations. Intriguingly, we find that the sex-differences in computing teaching evaluations are primarily driven by bias involving professors, while significant sex-based differences for student-instructors are not observed. Finally, we place the magnitude of the sex-based differences we observe into a broader engineering context." @default.
- W4312742543 created "2023-01-05" @default.
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- W4312742543 date "2022-05-19" @default.
- W4312742543 modified "2023-10-18" @default.
- W4312742543 title "An analysis of sex differences in computing teaching evaluations" @default.
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- W4312742543 doi "https://doi.org/10.1145/3524501.3527604" @default.
- W4312742543 hasPublicationYear "2022" @default.
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