AI Innovations in Language and Literacy Education for K-12 Multilingual Learners

Session Type: Symposium

Abstract

This symposium explores the emerging role of generative AI in K-12 language education for multilingual learners. While there is growing research on AI use with adult language learners, empirical studies involving younger, school-aged populations remain limited. Addressing this gap, the symposium presents a set of papers that examine AI applications in language assessment, pedagogy, and learning for multilingual learners in K-12 settings. It aims to foster critical discussion on the responsible and innovative use of AI for K-12 multilingual learners and to identify key areas for future research to ensure appropriate and effective implementation across diverse classroom contexts.

Sub Unit

• SIG-Second Language Research

Chair

• Mikyung Kim Wolf, ETS

Papers

• Generative Artificial Intelligence in the Assessment of Young Multilingual Learners’ Productive Language Skills - Becky H. Huang, The Ohio State University

• Leveraging AI to Uncover Linguistic Profiles and Inform Instruction for K–12 Multilingual Learners - Eunice Eunhee Jang, University of Toronto - OISE

• Exploring K-12 Multilingual Learners’ Use and Perceptions of an AI Writing Feedback Tool - Mikyung Kim Wolf, ETS; Michael Suhan, ETS

Session Organizer

• Mikyung Kim Wolf, ETS

Discussant

• Zhongfeng Tian, Rutgers University - Newark