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Bridging the AI Literacy Gap: Systems-Level Approaches to K-12 CS Education
Thu, April 9, 4:15 to 5:45pm PDT (4:15 to 5:45pm PDT), Westin Bonaventure, Floor: Lobby Level, Santa Barbara CSession Type: Paper Session
Abstract
Ensuring equitable access to artificial intelligence (AI) literacy education has emerged as a critical challenge for K-12 computing education as AI becomes increasingly prevalent in society. This session examines how systemic inequities in AI literacy manifest across different school contexts and geographic regions, while presenting evidence-based solutions for creating more inclusive and sustainable AI education programs.
Sub Unit
Chair
Papers
Impact of Computing Education by School Type and County on K12 Students’ AI Literacy - Ally Fu, University of Maryland - University College; Kristina Kramarczuk, University of Maryland
AI Integration Through CT Pathways: District-Led Strategies for Sustainable K-12 Innovation - Sharin R. Jacob, Digital Promise Global; Quinn Burke, Digital Promise
Using Embodied Knowledge to Design, Augment, and Evaluate Machine Learning Models - Alicia Lane, Vanderbilt University; Atefeh Behboudi, Vanderbilt University; Omer Zahid, Vanderbilt University; Ashley Markatos, Vanderbilt University; Golnaz Arastoopour Irgens, Vanderbilt University
Curious Coders or Shortcut Seekers? Patterns of AI Use in High School Computer Science Problem-Solving - Mor Friebroon-Yesharim, Holon Institute of Technology; Rinat B. Rosenberg-Kima, Technion Israel Institute of Technology
Unforgetting Pedagogical Wisdom, Imagining AI Futures: A Systematic Review of AI Literacy in CS Education - Azibun Nuder, University of Hawaii - Manoa; Chih-Pu Dai, Texas A&M University