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AI and Immersive Technologies in Language Learning and Communication
Sat, April 11, 7:45 to 9:15am PDT (7:45 to 9:15am PDT), Westin Bonaventure, Floor: Lobby Level, Los FelizSession Type: Paper Session
Abstract
This session explores how AI and immersive technologies transform language learning, writing, and communication. Studies investigate AI-integrated informal digital learning, synchronous versus asynchronous AI-assisted instruction, and AI feedback systems for writing development. Complementary research examines how VR fosters rhetorical and embodied understanding and how learners use ChatGPT for self-directed language learning. These papers illuminate how feedback, embodiment, and learner agency intersect in AI-enhanced language education, offering new models for equitable, engaging, and adaptive language learning.
Sub Unit
Chair
Papers
AI Feedback as a Cultural Tool for Writing Development - Irina Engeness, Ostfold University College
Comparing the Impact of Synchronous and Asynchronous Generative AI -Assisted Learning in Language Education - Zhihui Zhang, Chinese University of Hong Kong; Thomas K.F. Chiu, The Chinese University of Hong Kong; Scott Aubrey, The Chinese University of Hong Kong
From Attributes to Action: How Global Learners Utilize ChatGPT in Self-Directed Learning - Belle Li, Purdue University; Victoria Lynn Lowell, Purdue University
Imagining Futures Through Student-Centered AI-Informal Digital Learning of English Practices in a Resource-limited EFL Context - Wan Yee Winsy Lai, The Education University of Hong Kong; Ju Seong Lee, The Education University of Hong Kong
Seeing from the Stage: How Virtual Reality Shapes Rhetorical Understanding through Embodied Learning - Meryem Yilmaz Soylu, Georgia Institute of Technology; Kelly Williams, Georgia Institute of Technology; Alison E Valk, Georgia Institute of Technology; Jeonghyun Lee, Georgia Institute of Technology