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Peer reviewed
Direct linkAllison Starks; Stephanie Michelle Reich – Information and Learning Sciences, 2024
Purpose: This study aims to explore children's cognitions about data flows online and their understandings of algorithms, often referred to as algorithmic literacy or algorithmic folk theories, in their everyday uses of social media and YouTube. The authors focused on children ages 8 to 11, as these are the ages when most youth acquire their own…
Descriptors: Concept Formation, Children, Social Media, Video Technology
Patricia Alejandra Martin – ProQuest LLC, 2024
This dissertation examines how first-generation high school Students of Color from California's San Joaquin Valley navigate digital marketing and advertising during their college search and application processes, offering a timely contribution to the study of college admissions in a post-affirmative action landscape. Higher education institutions…
Descriptors: Minority Group Students, First Generation College Students, Marketing, Advertising
