Generative AI-assisted feedback and EFL writing: a study on proficiency, revision frequency and writing quality

被引:0
作者
Mohamed Mekheimer [1 ]
机构
[1] Faculty of Education, Beni-Suef University, Beni Suef Governorate, Salah Salem Street, Beni-Suef
来源
Discover Education | / 4卷 / 1期
关键词
AI-assisted writing feedback; EFL writing; Generative AI; Revision; Student engagement; Writing proficiency;
D O I
10.1007/s44217-025-00602-7
中图分类号
学科分类号
摘要
This study investigated the impact of generative AI-assisted writing feedback, specifically using Grammarly, on English as a Foreign Language (EFL) learners’ writing proficiency, revision practices, and writing quality. Sixty postgraduate EFL students were randomly assigned to either an experimental group using Grammarly as an AI-enhanced feedback system or a control group receiving traditional instruction. Pre- and post-tests assessed overall writing proficiency, and semi-structured interviews were conducted with 25 students from the experimental group to gather qualitative data. Quantitative results indicated that the experimental group achieved significantly higher post-test scores than the control group. Additionally, positive correlations were found between the use of AI features, including generative AI, grammar, and vocabulary tools, and increased revision frequency, as well as improvements in content, organization, and cohesion. Thematic analysis of the qualitative data revealed that AI-assisted feedback promoted student engagement by reducing frustration, boosting confidence, and facilitating a greater sense of accomplishment. Participants emphasized the need to strategically integrate AI tools with traditional instruction, to foster critical thinking, and for AI tools to prioritize natural language fluency as well as to provide detailed feedback beyond basic grammar and mechanics. These results suggest that generative AI-assisted writing feedback, when used with pedagogical awareness, can effectively enhance EFL learners’ writing skills and support active participation in the writing process. The study also highlights that critical thinking skills are essential and that students should avoid overreliance on AI tools. © The Author(s) 2025.
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[1]  
Ali Z., Artificial intelligence (AI): a review of its uses in language teaching and learning, IOP Conf Ser Mater Sci Eng, 769, (2020)
[2]  
Alimadadi A., Aryal S., Manandhar I., Munroe P.B., Joe B., Cheng X., Artificial intelligence and machine learning to fight COVID-19, Physiol Genomics, 52, 4, pp. 200-202, (2020)
[3]  
Alharbi M.S., The effect of the process-oriented approach and the use of corrective feedback in English writing (Order No. 30314643) [Doctoral dissertation
[4]  
Bernacki M.L., Greene M.J., Lobczowski N.G., A systematic review of research on personalized learning: personalized by whom, to what, how, and for what purpose(s)?, Educ Psychol Rev, 33, 4, pp. 1387-1429, (2021)
[5]  
Braun V., Clarke V., Using thematic analysis in psychology, Qual Res Psychol, 3, 2, pp. 77-101, (2006)
[6]  
Campello B., Agostinho R., Roazzi A., ChatGPT, the cognitive mediation networks theory and the emergence of sophotechnic thinking: how natural language AIs will bring a new step in collective cognitive evolution, SSRN Preprint, (2023)
[7]  
Caprioglio A., Paglia L., Fake academic writing: ethics during chatbot era, Eur J Paediatr Dent, 24, 2, pp. 88-89, (2023)
[8]  
Cheng X., Zhang L.J., Sustaining university English as a foreign language learners’ writing performance through provision of comprehensive written corrective feedback, Sustainability, 13, 15, (2021)
[9]  
Crompton H., Edmett A., Ichaporia N., Burke D., AI and English language teaching: Affordances and challenges, British Journal of Educational Technology, (2024)
[10]  
Diaz Maldonado Y.L., Aprendizaje en inglés en línea: efectos sobre la elaboración de textos escritos y relación con la percepción de los docentes sobre la integración de tecnología (Order No. 29060217) [Doctoral dissertation, ProQuest Dissertations and Theses Global. 2022