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Arastoopour Irgens, Golnaz; Adisa, Ibrahim; Bailey, Cinamon; Vega Quesada, Hazel – Educational Technology & Society, 2022
As big data algorithm usage becomes more ubiquitous, it will become critical for all young people, particularly those from historically marginalized populations, to have a deep understanding of data science that empowers them to enact change in their local communities and globally. In this study, we explore the concept of critical machine…
Descriptors: Artificial Intelligence, Children, Algorithms, After School Programs
Georgedes, Dalia Flores; And Others – 1991
This publication presents the New Jersey State plan for the education of children of homeless families under the guidelines of the Stewart B. McKinney Homeless Assistance Act of 1987. An introduction reviews current demographics of the homeless population, particularly children and youth, and highlights planned state responses. A second section…
Descriptors: At Risk Persons, Children, Disadvantaged Youth, Economically Disadvantaged