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Researching Generative AI in Applied Linguistics

Carol A. Chapelle, Gulbahar H. Beckett, Bethany E. Gray, Tuba Özturan, Prithvi N. Shrestha, Sofie Johansson, Lina Larsson, Inyoung Na, Mahdi Duris, Volker Hegelheimer, Danilo Calle, Maria Mont, Melinda Dooly, Onyemowo Angela Ejeme, Christina Pardo-Ballester, Andrias Susanto, Rie Koizumi, Saki Suemori, Yusuke Kubo, Giulia Peri, Sabrina Machetti, Paola Masillo, Hongli Li, Roula Aldib, Chad Marchong, Jean Young Chun, Şebnem Kurt, Robert Godwin-Jones

Description

Researching Generative AI in Applied Linguistics presents a sample of research on how generative AI (GenAI) performs for addressing issues in applied linguistics. The chapters are based on selected presentations from the 2024 Technology for Second Language Learning hybrid conference held at Iowa State University, October 24-26. They are organized into three sections that examine 1) GenAI for language learning, 2) GenAI in language assessment, and 3) the linguistic capabilities of GenAI with respect to variation, subjectivity, and pragmatics in language performance. Together, the chapters illustrate the roles GenAI may play in applied linguistics practice and underscore the need for empirical research on each one.

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Publication Details

Published: August 27, 2025

Publisher: Iowa State University Digital Press

Location: Ames, IA

DOI: https://doi.org/10.31274/isudp.2025.211

ISBN: 978-1-958291-12-2

Peer Review: Yes

Downloads: 2832

License Information: © 2025 Compilation and editorial content, Carol A. Chapelle, Gulbahar H. Beckett, and Bethany E. Gray. © 2025 Individual chapters, the authors. This work is published under a Creative Commons Attribution (CC BY) 4.0 International License.

Chapters

Citation

Carol A. Chapelle et al. 2025. Researching Generative AI in Applied Linguistics