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Session Type: Symposium
This symposium explores how youth engagement with AI is shaped by social, psychological, and contextual factors. Despite growing interest in AI’s educational implications, empirical evidence on why youth use AI differently—and how those differences affect outcomes—remains limited. Bringing together four studies across diverse populations and methodologies, this symposium examines how AI access affects academic self-concept, who turns to AI tutoring apps, how different types of AI use relate to adolescents’ psychological needs, and how children across cultures perceive the internet. Together, these papers underscore that AI’s impact is not uniform but contingent on how, why, and by whom it is used. It offers insights for scholars and practitioners working to ensure AI supports rather than undermines youth learning and agency.
Does Access to Generative AI for Learning Change High School Students’ Academic Self-Concept? - Echo Zexuan Pan, Harvard University; Trisha Thomas, Harvard University; Danny Glick, Oranim College of Education; Ying Xu, Harvard University
Understanding Who Uses AI Tutoring: A Nationally Benchmarked Study of Answer.AI Users - Max Lu, Harvard University; Ying Xu, Harvard University
Adolescent AI Use and Developmental Needs: A Self-Determination Theory Perspective - Zhiying Yue, Harvard University; Hannah Chidekel, Harvard University; Michael Rich, Harvard University; David S Bickham, Boston Children's Hospital
Chinese and American Children’s Internet Attitudes: A Multi-group Confirmatory Factor Analysis - Lauren Girouard-Hallam, University of Michigan; Yu Tong, Jianghan University; Fuxing Wang, Central China Normal University; Judith H Danovitch, University of Louisville