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Download full textDenisa Gándara; Hadis Anahideh; Matthew P. Ison; Lorenzo Picchiarini – AERA Open, 2024
Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to admissions, budgeting, and student-success interventions. Because predictive algorithms rely on historical data, they capture societal injustices, including racism. In this study, we examine…
Descriptors: Algorithms, Social Bias, Minority Groups, Equal Education
Brownell, Cassie J. – AERA Open, 2022
Many researchers have considered recent and intergenerational immigrant children's perspectives on immigration policies. Fewer have investigated nonimmigrant children's views despite children's sociopolitical identities forming long before they can vote. Drawing from data generated in spring 2017, the author illustrates how young children at an…
Descriptors: Young Children, Elementary School Students, Urban Schools, Personal Narratives
