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Session Type: Poster Session
This session interrogates how we know and what we value when adopting AI in education. The papers address ethical reasoning, cultural perceptions, and critical use frameworks. All five papers emphasize critical, ethical, or socio-cultural perspectives—from national and familial contexts to classroom-level reflection. Together, they offer a powerful cross-cultural and value-oriented discourse on AI adoption.
Learning with Machines: Charting the Epistemic Map of Indonesian Students’ Perceptions of Generative Artificial Intelligence (GenAI) - Ahmad Ardillah Rahman, University College London - IOE; Aziz Awaludin, University of Wisconsin - Madison; Ibrahim -, Monash University
Examining U.S. Parents’ Perceptions of the Use of AI in K-12 Education - Rachel Min Wong, University of Tennessee; Timara McCollum, University of Tennessee; Lynn L. Hodge, University of Tennessee; Catherine Schuman, University of Tennessee
Ethics in AI Education: A Systematic Review of Interventions and Frameworks - Clelia Perez-Medina, University of Florida; Loraine Cisternas-Garcia, University of Florida; Andrea Ramirez-Salgado, University of Florida; Pasha Antonenko, University of Florida
Towards the Critical Use of AI in Foreign Language Learning: Insights from AI-assisted Songwriting - Yesul Han, University of Virginia; Yunjeong Chang, University at Buffalo - SUNY
Exploring how middle school students and teachers can thoughtfully and ethically engage with AI technologies - Christine Wusylko, Kennesaw State University; Xiaoman Wang, Western Michigan University; Bridget Newell, University of Florida; Angela M. Kohnen, University of Florida; Loraine Cisternas-Garcia, University of Florida; Priyadharshini Ganapathy Prasad, University of Florida; Albert Dieter Ritzhaupt, University of Florida; Anthony Botelho, University of Florida; Kevin Cen, University of Florida