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Session Type: Poster Session
Together, these papers provide insights into student perspectives, systemic barriers and facilitators, and the cognitive and instructional implications of AI-supported learning, inviting discussion on how to design inclusive and effective AI education
Division C - Learning and Instruction / Division C - Section 2b: Learning and Motivation in Social and Cultural Contexts
Division C - Learning and Instruction / Division C - Section 3b: Technology-Based Environments
Empowering the Future of STEM Education: A Systematic Review of AI Integration Facilitators and Barriers - Atefeh Ataran, Clemson University; Ladan Shojaei, Indiana University
Who Benefits Most from AI Education? Exploring the Interaction of Student Agency and Formal Learning - Siya LIANG, Chinese University of Hong Kong; King Woon YAU, Chinese University of Hong Kong; Ching Sing Chai, Chinese University of Hong Kong
Understanding GenAI Beliefs of International Teachers in the US, India, Qatar, Colombia, and the Philippines - Rosie Le Xiu, University of Southern California; Stephen J. Aguilar, University of Southern California; Reem Al-Sulaiti, world innovation summit for education (WISE); Maimoona Junjunia, World Innovation Summit for Education (WISE); Selma Talha-Jebril, World Innovation Summit for Education (WISE)
A Systematic Review on How to Design K-12 Artificial Intelligence Education - Xin Liu, East China Normal University; Zhuotao Lu, Qingdao University; Shuai LIU, East China Normal University; Yihe Gao, East China Normal University; Xiaozhe Yang, East China Normal University
"What Would You Ask an AI Expert?": A Simple Question Reveals Complex K-12 Student Thinking - Shuchi Grover, Looking Glass Ventures