Exploring the Potential of ChatGPT for Evaluating English Essays in a Criterion-Based Assessment

Saved in:
Bibliographic Details
Title: Exploring the Potential of ChatGPT for Evaluating English Essays in a Criterion-Based Assessment
Language: English
Authors: Andrea Gjorevski, Mimi Li (ORCID 0000-0002-6705-5167), Troy L. Cox
Source: TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect. 2025 59(1):S251-S279.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 29
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Artificial Intelligence, Criterion Referenced Tests, Essay Tests, Automation, Writing Evaluation, Scoring, Interrater Reliability, Writing Tests, English (Second Language), International Organizations
DOI: 10.1002/tesq.70011
ISSN: 0039-8322
1545-7249
Abstract: Open access to novel AI tools offers unprecedented opportunities for human-AI collaboration in writing instruction and assessment. While research on using generative AI tools like ChatGPT in these contexts is emerging, more is needed to understand their effectiveness as Automated Writing Evaluation (AWE) tools. This study explores the potential of ChatGPT (GPT-3.5) to assist teachers and learners in the North Atlantic Treaty Organization (NATO) by evaluating English writing based on holistic scoring criteria. Using a mixed-methods approach, the study compared ChatGPT's ratings with human ratings on 100 writing tests to assess inter-rater reliability. It also analyzed the justifications provided by both human raters and ChatGPT to evaluate how well ChatGPT understood the rating criteria at different proficiency levels and whether its rationales could provide effective feedback for learners and support teacher feedback practices. Results showed strong agreement between ChatGPT's and human ratings, with ChatGPT demonstrating a similar understanding of the rating scales and offering justifications with elements of effective feedback. These findings indicate that ChatGPT holds promise as an AWE tool, providing meaningful feedback and valuable insights into holistic rating scales. This study encourages further exploration of AI in the L2 classroom and suggests leveraging AI to enhance writing pedagogy and classroom-based assessment.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1490674
Database: ERIC
Description
Abstract:Open access to novel AI tools offers unprecedented opportunities for human-AI collaboration in writing instruction and assessment. While research on using generative AI tools like ChatGPT in these contexts is emerging, more is needed to understand their effectiveness as Automated Writing Evaluation (AWE) tools. This study explores the potential of ChatGPT (GPT-3.5) to assist teachers and learners in the North Atlantic Treaty Organization (NATO) by evaluating English writing based on holistic scoring criteria. Using a mixed-methods approach, the study compared ChatGPT's ratings with human ratings on 100 writing tests to assess inter-rater reliability. It also analyzed the justifications provided by both human raters and ChatGPT to evaluate how well ChatGPT understood the rating criteria at different proficiency levels and whether its rationales could provide effective feedback for learners and support teacher feedback practices. Results showed strong agreement between ChatGPT's and human ratings, with ChatGPT demonstrating a similar understanding of the rating scales and offering justifications with elements of effective feedback. These findings indicate that ChatGPT holds promise as an AWE tool, providing meaningful feedback and valuable insights into holistic rating scales. This study encourages further exploration of AI in the L2 classroom and suggests leveraging AI to enhance writing pedagogy and classroom-based assessment.
ISSN:0039-8322
1545-7249
DOI:10.1002/tesq.70011