Discrepancies Between ChatGPT and Vietnamese EFL Teachers in Writing Assessment

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Authors: Nhut Nam Ho, Thi Cam Thu Tra, Thi Quyen Pham, Phuong Thanh Tran
Cited by: 1
References: 25

Abstract

Artificial intelligence, particularly ChatGPT, strongly influences education, especially in modern EFL classrooms. However, a significant gap still exists in Vietnam regarding how ChatGPT’s writing assessments differ from those of EFL teachers. To address this gap, this study directly compares ChatGPT’s writing assessments with those of Vietnamese EFL teachers to identify key discrepancies. Twenty experienced teachers working at English centers and universities in Ho Chi Minh City participated in this quantitative research. ChatGPT and human raters used an analytic rubric adapted from a standardized rubric to assess the written works of twenty students. A paired-sample t-test was then employed to compare the scores of human raters and ChatGPT in assessing twenty students’ essays across the rubric criteria. The findings revealed a statistically significant difference between ChatGPT and Vietnamese EFL teachers in writing evaluations (p = .034), with ChatGPT (M = 16.08, SD = 3.29) assigning a higher total score than human raters (M = 14.75, SD = 2.96). Particularly, ChatGPT tended to give higher scores than human raters across all criteria, including content, organization, vocabulary, and grammar, with the content criterion showing the greatest discrepancy.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Text Readability and Simplification AI in Service Interactions

Publication details

Journal / source
International journal of AI in language education.
Publisher
Asia Association of Computer Assisted Language Learning
Volume
3
Issue
1
Pages
1–16
Publication date
29 April 2026