Generative artificial intelligence tools

View at publisher
Authors: Yiran Xu, Charlene G. Polio
Cited by: 0
References: 43

Abstract

Abstract This chapter discusses how generative artificial intelligence (GenAI) tools, particularly large language models (LLMs) like ChatGPT, are emerging as powerful web-based tools for research purposes, such as data analysis, in applied linguistics research. While much attention has focused on pedagogical applications, we review how GenAI can be leveraged to support various stages of the research processes in empirical studies, such as instrument design, automated coding, text annotation, and qualitative data analysis. We address key concerns around validity and reliability as well as ethical considerations related to transparency, data privacy, and potential bias in AI-generated output. Given that GenAI is in the early stage of research application, we describe its current capacities and limitations based on emerging empirical research and propose promising directions for future studies.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Computational and Text Analysis Methods Text Readability and Simplification

Publication details

Journal / source
Research methods in applied linguistics
Pages
362–385
Publication date
5 January 2026
Language
EN
Document type
Book chapter