Racial, skin tone, and sex disparities in automated proctoring software

Racial, skin tone, and sex disparities in automated proctoring software

Students of color, particularly women of color, face substantial barriers in STEM disciplines in higher education due to social isolation and interpersonal, technological, and institutional biases. For example, online exam proctoring software often uses facial detection technology to identify potent...

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Bibliographic Details
Main Authors: Deborah R. Yoder-Himes, Alina Asif, Kaelin Kinney, Tiffany J. Brandt, Rhiannon E. Cecil, Paul R. Himes, Cara Cashon, Rachel M. P. Hopp, Edna Ross
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Education
Subjects:
algorithmic bias
test proctoring
skin tone
facial detection
software
Online Access:https://www.frontiersin.org/articles/10.3389/feduc.2022.881449/full

Internet

https://www.frontiersin.org/articles/10.3389/feduc.2022.881449/full

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