The Role of AI Tools in LG120 Students Proofreading Practices
Authors
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2025.924ILEIID0087
Subject Category: Education
Volume/Issue: 9/24 | Page No: 806-810
Publication Timeline
Submitted: 2025-09-23
Accepted: 2025-09-30
Published: 2025-11-01
Abstract
Artificial Intelligence (AI) in education has changed the way students approach proofreading in academic writing. Tools such as Grammarly, Quillbot, and ChatGPT offer immediate feedback on grammar, vocabulary, and style, which enable students to enhance accuracy efficiently. However, concerns remain regarding over-reliance on technology, which may hinder the development of independent proofreading skills and critical thinking. This paper explores the role of AI tools in student proofreading practices, focusing on how AI proofreading programs will help students in writing. Other than that, the objective of this paper is to identify any obstacles the students face while utilising the AI tools in proofreading. By employing a quantitative method, the survey will be conducted to capture measurable outcomes. The participants for the survey will be the active LG120 students from semester 3 and semester 4, as they are taking Proofreading and Editing subjects in both semesters. Total participants expected to answer the survey will be around 60-70 students. A set of questionnaires will be given to the students to identify whether AI tools are helping them in their practices and as well as the problems they are facing with these tools. The findings are expected to provide insight for educators and curriculum designers, offering recommendations for integrating AI tools into English language instruction while ensuring the development of independent proofreading competence.
Keywords
Artificial Intelligence, Proofreading, English Language
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References
1. Al-Ali, S. & Miles, R. (2025). Upskilling teachers to use generative artificial intelligence: The TPTP approach for sustainable teacher support and development. Australasian Journal of Educational Technology, 2025, 41(1), 88-106. https://doi.org/10.14742/ajet.9652 [Google Scholar] [Crossref]
2. Al Sawi, I., Alaa, A. (2024). Navigating the impact: a study of editors’ and proofreaders’ perceptions of AI tools in editing and proofreading. Discov Artif Intel, 4(23). https://doi.org/10.1007/s44163-024-00116-5 [Google Scholar] [Crossref]
3. Bai, B., & Guo, W. (2021). The use of AI-powered writing assistants in language learning. Computer Assisted Language Learning, 34(7), 917–938. https://doi.org/10.1080/09588221.2020.1868537 [Google Scholar] [Crossref]
4. Bensalem, E., Harizi, R. & Boujlida, A. (2024). Exploring undergraduate students' usage and perceptions of AI writing tools. Global Journal of Foreign Language Teaching, 14(2), 53-65 [Google Scholar] [Crossref]
5. Bird, H. (2024). What might the Future of AI mean for Editors and Proofreaders. Chartered Institute of Editing and Proofreading. https://www.ciep.uk/resource/future-of-ai-for-editors.html [Google Scholar] [Crossref]
6. Budiyono, H., Marzuki, Pudjaningsih, W., Prastio, B. & Maulidina, A. (2025). Exploring Long-Term Impact of AI Writing Tools on Independent Writing Skills: A Case Study of Indonesian Language Education Students. International Journal of Information and Education Technology, 15(5), 1003-1013. https://doi.org/10.18178/ijiet.2025.15.5.2306 [Google Scholar] [Crossref]
7. Choi, H. (2021). Artificial intelligence in English writing instruction: Opportunities and challenges. Journal of Language Teaching and Research, 12(3), 398–406. https://doi.org/10.17507/jltr.1203.06 [Google Scholar] [Crossref]
8. Digital Education Council. (2024, August 7). What students want: Key results from DEC global AI student survey 2024. https://www.digitaleducationcouncil.com/post/what-students-want-key-results-from-dec-global-ai-student-survey-2024 [Google Scholar] [Crossref]
9. Dizon, G., & Gold, J. (2023). Exploring the effects of Grammarly on EFL students’ foreign language anxiety and learner autonomy. The JALT CALL Journal, 19(3), 299–316. https://doi.org/10.29140/jaltcall.v19n3.1049 [Google Scholar] [Crossref]
10. Escalante, J., Pack, A. & Barrett, A. (2023). AI-generated feedback on writing: insights into efficacy and ENL student preference. Int J Educ Technol High Educ, 20(57). https://doi.org/10.1186/s41239-023-00425-2 [Google Scholar] [Crossref]
11. Fedrovic, Y. (2024). Challenges in AI-Assisted academic writing: A case study. Innovations in Language Teaching Journal, 1(1), 35-50. https://doi.org/10.53463/innovltej.20240284 [Google Scholar] [Crossref]
12. Harry, A. 2023. Role of AI in education. Injurity: Interdisciplinary Journal and Humanity, 2(3), 260-268. https://www.researchgate.net/publication/369545925_Role_of_AI_in_Education [Google Scholar] [Crossref]
13. Khaleel Alarabi, Tairab, H., Yousef Wardat, Shashidhar Belbase, & Alabidi, S. (2022). Enhancing the learning of newton’s second law of motion using computer simulations. 21(6), 946–966. https://www.researchgate.net/publication/366964528_ENHANCING_THE_LEARNING_OF_NEWTON [Google Scholar] [Crossref]
14. Lai, C., & Bower, M. (2020). How is the use of technology in education evaluated? A systematic review. Computers & Education, 153, 103899. https://doi.org/10.1016/j.compedu.2020.103899 [Google Scholar] [Crossref]
15. Li, M. (2022). The double-edged sword of AI in second language writing. Journal of English for Academic Purposes, 55, 101072. https://doi.org/10.1016/j.jeap.2021.101072 [Google Scholar] [Crossref]
16. Li, S., & Ni, Y. (2023). AI writing assistants in higher education: Benefits and risks. Education and Information Technologies, 28, 3451–3470. https://doi.org/10.1007/s10639-022-11371-4 [Google Scholar] [Crossref]
17. Lo, C. K. (2022). The role of AI-based feedback in improving writing motivation. Language Learning & Technology, 26(2), 1–22. https://hdl.handle.net/10125/73484 [Google Scholar] [Crossref]
18. Luo, J. (2024). A critical review of GenAI policies in higher education assessment: A call to reconsider the“originality” of students’ work. Assessment & Evaluation in Higher Education, 49(5), 651–664. https://doi.org/10.1080/02602938.2024.2309963 [Google Scholar] [Crossref]
19. Niskanen, T., Sipola, T., & Väänänen, O. (2023). Latest trends in artificial intelligence technology: A Scoping Review. https://doi: 10.48550/arXiv.2305.04532. [Google Scholar] [Crossref]
20. Rana, A., Reddy, A., Shrivastava, A., Verma, D., Ansari, Md. S., & Singh, D. (2022). Secure and Smart Healthcare System using IoT and Deep Learning Models. 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS). https://doi.org/10.1109/ictacs56270.2022.9988676 [Google Scholar] [Crossref]
21. Shermis, M. D. (2020). A call for research on automated essay scoring. Assessing Writing, 46, 100493. https://doi.org/10.1016/j.asw.2020.100493 [Google Scholar] [Crossref]
22. Tedjo, E.W. (2022). Providing online feedback using an AI proofreading tool to enhance student surface-level writing skills. Ebony - Journal of English Language Teaching, Linguistics, and Literature, 2(1), 37-45. [Google Scholar] [Crossref]
23. Widiyantari, Y., & Rahma Aji, K. (2025). Beyond the red pen: exploring EFL students’ autonomy and struggles in grammar correction. English Education Journal, 11(1), 9-17. https://doi.org/10.55340/e2j.v11i1.1860 [Google Scholar] [Crossref]
24. Woodworth, J. & Barkaoui, K. (2020). Perspectives on Using Automated Writing Evaluation Systems to Provide Written Corrective Feedback in the ESL Classroom. TESL Canada Journal, 37(2), 234–247. https://doi.org/10.18806/tesl.v37i2.1340 [Google Scholar] [Crossref]
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