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Session Type: Paper Session
Learning by Teaching AI (LBT-AI): A case of using Teachable Machine as a cognitive tool - Woei Hung, University of North Dakota; Jordan Trottier, Surrey Elementary School
Levels of Generative AI Integration in K–12 Education - Yunjo An, University of North Texas; Shadarra James, University of North Texas
From Emotion to Learning: How Teachable Agents’ Personality Shapes Math Learning - Bailing Lyu, University of Utah; Chenglu Li, University of Utah; Hai Li, University of Florida; Gokhan Gulfidan, University of Utah; Linlin Wu, University of Utah; Rui Guo, University of Florida
Listening to Teachers: Adapting a Microelectronics and AI Curriculum Through Participatory Design - Lauren Eutsler, University of North Texas; Megan Barnes, University of North Texas; Andrea Ramirez-Salgado, University of Florida; Yessy Eka Ambarwati, University of Florida; Woorin Hwang, University of Florida; Talar Terzian, University of Florida; Anany Sharma, University of Florida; Tamzidul Hoque, University of Kansas; Swarup Bhunia, University of Florida; Pasha Antonenko, University of Florida
Understanding AI Literacy in Early Adolescence: Predictors of Middle School Students’ AI Knowledge - Xiaoman Wang, Western Michigan University; Bridget Newell, University of Florida; Albert Dieter Ritzhaupt, University of Florida; Christine Wusylko, Kennesaw State University; Loraine Cisternas-Garcia, University of Florida; Priyadharshini Ganapathy Prasad, University of Florida; Angela M. Kohnen, University of Florida; Anthony Botelho, University of Florida; Kevin Cen, University of Florida