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Factors Affecting the Use of Chatgpt in Academic Writing Perceived by English-Majored Students

Bibliographic Data

ID23038239
AuthorsThi Tran (0000-0002-9858-7318, Hanoi University of Culture, corresponding author), Thi Ngoc Mai Tran
Year2025
Volume41
Issue3
Pages110-125
Publication date2025-06-27
Open AccessYes
TypeARTICLE
VenueVNU Journal of Foreign Studies (JOURNAL)
Journal identifiersISSN: 2525-2445 • E-ISSN: 2525-2445
PublisherVietnam National University of Languages and International Studies (PUBLISHER)
DOI10.63023/2525-2445/jfs.ulis.5519
OpenAlexW4411748405
LanguageEN
Citations received1

The application of artificial intelligence (AI) in the educational field, particularly the use of ChatGPT for academic purposes, has been gaining widespread attention. This study investigates the factors affecting the acceptance of ChatGPT for academic writing among English-majored students, using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework proposed by Venkatesh et al. (2003). Employing a quantitative approach, the research collected data via a paper-based survey. Then, multiple linear regression analysis was used to examine the relationships between four independent variables - performance expectancy, effort expectancy, social influence, and facilitating conditions - and students’ acceptance of ChatGPT. The results indicate that all four elements significantly influence students’ use of ChatGPT for academic writing activities, with performance expectancy emerging as the most influential predictor. These findings suggest that students adopt ChatGPT not only because they perceive it as useful for enhancing academic performance but also due to its ease of use, peer influence, and the availability of supporting resources. Given these insights, universities should consider developing AI literacy initiatives and incorporating ethical guidelines into academic curricula to foster responsible and informed usage of ChatGPT in academic writing.

Mathematics education · Medical education · Pedagogy · AI in Service Interactions · Education and Learning Interventions · Knowledge Management and Sharing · Medicine · Psychology

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

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