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Syntactic complexity of student-produced, AI-edited, and AI-generated expository texts using ChatGPT-4.0

Evidence from Vietnamese and Filipino EFL undergraduates

Bibliographic Data

ID22428165
AuthorsAnh Ton-Nu (0000-0001-8043-9838, University of Economics Ho Chi Minh City), Jessie S Barrot (0000-0001-8517-4058, University of Economics Ho Chi Minh City, corresponding author)
Year2026
Pages1-23
Publication date2026-03-10
Open AccessNo
TypeARTICLE
VenueInnovation in Language Learning and Teaching (JOURNAL)
Journal identifiersISSN: 1750-1229 • E-ISSN: 1750-1237
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/17501229.2026.2642394
OpenAlexW7134907203
LanguageEN
Citations received1
References cited62

While studies have explored syntactic complexity in second-language (L2) writing, little is known about the syntactic features of AI-generated and AI-edited texts, or how these texts compare with student-produced essays. Thus, this study sought to fill in this gap by analyzing 690 expository essays (i.e. 230 essays produced by Vietnamese and Filipino students, 230 AI-edited essays, and 230 AI-generated essays) using 14 syntactic complexity measures. Our study revealed significant syntactic differences across the three groups in all 14 syntactic complexity measures, with student-produced essays generally exhibiting higher syntactic complexity, while AI-generated essays showed increased syntactic density but simpler overall structures. AI-edited essays fell between the two, enhancing certain syntactic aspects without fully replicating the complexity of human-written texts. Implications for L2 writing pedagogy, AI tool enhancement, and future studies are discussed.

English as a foreign language · Linguistic sequence complexity · Rhetorical modes · Syntax · Vietnamese · Vocabulary · Artificial Intelligence in Healthcare and Education · Text Readability and Simplification · Writing and Handwriting Education

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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