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Session Type: Roundtable Session
This session invites dialogue on how students interact with and learn through generative AI tools. Papers examine ChatGPT's impact on programming thinking processes, human-AI collaboration in developing critical thinking, AI interventions for mathematical relevance and interest, longitudinal writing self-efficacy development, and teacher-youth co-design of AI safety education. Presenters share findings across K-12 and higher education contexts, opening conversations about cognitive processes, engagement patterns, and pedagogical design. What opportunities and tensions emerge when students collaborate with AI? How do we support effective integration across disciplines?
A Generative AI-assisted Intervention to Promote High School Students’ Personal Relevance to Math and Interest in the Math Class - Zhixing Guo; Luke Fryer, University of Hong Kong; Alex Shum, University of Hong Kong
Co-designing with teachers an online education program for youth to navigate AI-mediated cyber risks - Wenting Zou, Pennsylvania State University; Huanying Song, Pennsylvania State University; Yu-Jou Joyce Chou, Pennsylvania State University; Jiaju Lin, Pennsylvania State University; Feiwen Xiao, University of Pennsylvania
Examining Undergraduate Students’ Thinking Processes and Programming Performance When Using Web Search and Generative AI - Tianlong Zhong, Nanyang Technological University; Gaoxia Zhu, National Institute of Education - Nanyang Technological University
Human-AI Collaborative Learning and Critical Thinking Development: Evidence from a Technology-Enriched Graduate Course - Yinuo Li, university of bristol
Self-Efficacy and Strategy in AI-Assisted Academic Writing: A Longitudinal Study of Chinese EFL Doctoral Students - Huanqing Li, Tsinghua University; Qian Guo, Tsinghua University; Yanyu Wang, Tsinghua University