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Session Type: Symposium
This session elevates high school student experiences and perspectives regarding how computer science education can support meaningful engagement, sustained interest, and consequential learning, particularly for young women and low-income students of color whose communities are underrepresented in the field. Addressing a gap in current literature valuing what young people need and want in schooling to prepare them for their current and future lives with technology, this collection of four papers takes a justice-centered approach that considers how students’ perspectives can inform how we repair the harm of inequitable computing education and tech influences on minoritized peoples’ lives and communities. This work can inspire ways to reimagine both research and approaches to pedagogy, curricular design, and policy around computing education.
Minoritized Students’ Ideas for Addressing Computing’s Lack of Diversity by Supporting Families and Schools - Jean J. Ryoo, University of California - Los Angeles; Wei Wei, University of California - Los Angeles; Raisa Blazquez, Illinois Workforce and Education Research Collaborative
In Conversation with California and Illinois Students: What Makes CS Learning Consequential for Minoritized Students - Wei Wei, University of California - Los Angeles; Jean J. Ryoo, University of California - Los Angeles; Raisa Blazquez, Illinois Workforce and Education Research Collaborative
Black and Latine High School Students’ Reflections on Meaningful and Inclusive CS Teaching - Raisa Blazquez, Illinois Workforce and Education Research Collaborative; Jean J. Ryoo, University of California - Los Angeles; Wei Wei, University of California - Los Angeles
Critical Perspectives on AI: Young Women and Non-Binary Students’ Voices from Girls Who Code - Jackie Blizzard-Caron, Girls Who Code; Ryan Clarke, Girls Who Code; Michelle Choi, University of California - Los Angeles; Lily Kohn, Girls Who Code; Joseph Ochterski, Girls Who Code; Jean J. Ryoo, University of California - Los Angeles; Liza Stark, Girls Who Code; Daniel Voloch, Girls Who Code; Wei Wei, University of California - Los Angeles