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Session Type: Symposium
A growing consensus that students must be prepared for the fast-changing world powered by artificial intelligence (AI) has motivated several efforts to promote AI education under the broader goals of computer science (CS) in K-12. The time is ripe to examine what this evolving landscape of K-12 AI education looks like. This panel invites researchers to share their early explorations into teaching K-12 learners about AI. Through creating and examining innovative experiences that encompass disciplinary, social and affective aspects, these projects are tackling exciting challenges to bring this emergent, interdisciplinary topic to young learners. This panel serves as a rich opportunity for comparison and discussion to help advance the state-of-the-field and articulate a research agenda for K-12 AI education.
Artificial Intelligence in the Context of Cybersecurity: Demystifying Machine Learning Through Interactives and Layers of Abstraction - Shuchi Grover, Looking Glass Ventures; Brian Broll, Vanderbilt University; Derek Babb, University of Nebraska - Omaha
Developing Middle School Students' Artificial Intelligence Literacy Through Interactive Approaches - Irene A. Lee, Massachusetts Institute of Technology; Helen Zhang, Boston College; Kate Moore, Massachusetts Institute of Technology; Beatriz Perret, Massachusetts Institute of Technology
Learning Artificial Intelligence Through Youth-Led Conversational App Development Experiences - Maya Israel, University of Florida; Joanne Barrett, University of Florida; Tom McKlin, The Findings Group, LLC; Yukyeong Song, University of Florida; Xiaoyi Tian, University of Florida
The Integration of Artificial Intelligence Education and Ecosystems Science for the Upper Elementary Grades - Krista D. Glazewski, North Carolina State University; Anne Leftwich, Indiana University; Katie Jantaraweragul, Indiana University; Cindy E. Hmelo-Silver, Indiana University; Adam Scribner; Bradford Mott, North Carolina State University; James C. Lester, North Carolina State University
Co-Designing a Culturally Relevant Nine-Week Middle School Artificial Intelligence Curriculum - Christina Gardner-McCune, University of Florida; Yerika Jimenez, University of Florida; Patriel Stapleton; Judith Uchidiuno, Carnegie Mellon University; Dave Touretzky, Carnegie Mellon University; Janet L. Kolodner, Boston College; Brian Cox; Lavita Williams; Tom McKlin, The Findings Group, LLC; Taneisha Lee, Georgia Institute of Technology; Emily Bryans, The Findings Group; Bejanae Kareem, Georgia State University
A Socially Relevant Artificial Intelligence Curriculum for Female High School Students - Isabella Gransbury, North Carolina State University; Veronica Catete, North Carolina State University; Tiffany Barnes, North Carolina State University; Shuchi Grover, Looking Glass Ventures; Brian Broll, Vanderbilt University; Akos Ledeczi, Vanderbilt University