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Using AI to Learn in Multi-lingual Contexts
Fri, April 10, 1:45 to 3:15pm PDT (1:45 to 3:15pm PDT), JW Marriott Los Angeles L.A. LIVE, Floor: Ground Floor, Gold 4Session Type: Roundtable Session
Abstract
This session brings together four studies examining how learners engage with generative AI tools across writing, feedback, and literacy development. Using diverse methodologies and theoretical lenses, the papers explore how AI reshapes self-regulated learning, instructional feedback, student motivation, and culturally grounded approaches to AI literacy.
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Cosponsor
Chair
Papers
Exploring the Role of AI in Enhancing EFL Students’ Academic Writing and Self-Regulated Learning - Azzah Alzahrani, University at Buffalo - SUNY
Human-AI Collaborative Feedback Enhances EFL Writing with Chain-of-Thought Prompting under SFL Guidance - Jialing Wu, East China Normal University; Huirong Gao, East China Normal University
Integrating AI Literacy into Math Education: A Study on AI Self-Efficacy and Math Motivation - Linlin Li, WestEd; Jie Chao, The Concord Consortium; Trudi Lord, Concord Consortium; Rebecca Ellis, The Concord Consortium; Kelly Collins, WestEd; Wanli Xing, University of Florida; yuanlin zhang, Texas Tech University; April Fleetwood, Florida Virtual School
Reframing AI as Amplifier: Disciplinary Logics and Learner Agency in EFL Academic Reading - Xiaohang Luo, University of Pennsylvania; Yingqi Wang, University of Hong Kong