Navigating ethics: EFL learners’ awareness and use of AI tools in writing classes

Main Article Content

Harun Çiftci
https://orcid.org/0000-0003-1444-641X

Abstract

The rapid integration of artificial intelligence tools into language teaching has transformed English as a Foreign Language learners’ approach to writing skills. Some of these tools scaffold their linguistic accuracy, idea generation, and revisions. However, their use also introduces complex ethical dilemmas regarding authorship, originality, and academic integrity. We investigate the ethical awareness and behavioral patterns of 162 Turkish EFL university learners in relation to AI-assisted writing in this mixed-methods study. Two validated survey instruments and thematic analysis of written open-ended responses are used to examine how they perceive ethical risks, the extent to which they revise or disclose AI-generated content, and how variables such as proficiency level and prior instruction in academic integrity influence ethical decision-making. The quantitative findings indicate that EFL learners generally hold favorable perceptions of the pedagogical benefits offered by AI-assisted writing tools. However, the results also show only moderate levels of ethical awareness. With frequent users, a higher tendency toward nondisclosure and overreliance on AI-generated content was exhibited. Analysis of the open-ended responses showed that many participants expressed uncertainty regarding what constitutes acceptable use of AI tools. Furthermore, several of them also reported feelings of guilt and moral tension about their practices. The results of this study thus demonstrate the significance of integrating explicit instruction on the ethical use of AI tools. This study thus offers timely empirical insight into how EFL students interact with emerging technologies and provides actionable implications for enhancing pedagogical design, institutional policy, and digital literacy initiatives in language education contexts.

Metrics

Metrics Loading ...

Article Details

How to Cite
Çiftci, H. (2025). Navigating ethics: EFL learners’ awareness and use of AI tools in writing classes. Focus on ELT Journal, 7(2), 22–45. https://doi.org/10.14744/felt.7.2.2
Section
Articles

References

Akiyama, Y. (2017). Learner beliefs and corrective feedback in telecollaboration: A longitudinal investigation. System, 64, 58–73. https://doi.org/10.1016/j.system.2016.12.007

Abuadas, M., & Albikawi, Z. (2025). AI ethical awareness and academic integrity in higher education: development and validation of a new scale. Ethics & Behavior, 1–18. https://doi.org/10.1080/10508422.2025.2511336.

Aljabr, F., S., & Al-Ahdal, A. a. M. H. (2024). Ethical and pedagogical implications of AI in language education: An empirical study at Ha’il University. Acta Psychologica, 251, 1–8. https://doi.org/10.1016/j.actpsy.2024.104605.

Alharbi, W. (2023). AI in the foreign language classroom: A pedagogical overview of automated writing assistance tools. Education Research International, 2023, 1–15. https://doi.org/10.1155/2023/4253331.

Alshammari, J. (2024). Revolutionizing EFL learning through ChatGPT: A qualitative study. Amazonia Investiga,13(82), 208–221. https://doi.org/10.34069/AI/2024.82.10.17.

Ateeq, A., Alzoraiki, M., Milhem, M., & Ateeq, R., A. (2024). Artificial intelligence in education: implications for academic integrity and the shift toward holistic assessment. Frontiers in Education, 9, 1-11. https://doi.org/10.3389/feduc.2024.1470979.

Attali, Y., & Burstein, J. (2006). Automated essay scoring with e-rater V.2. The Journal of Technology, Learning, and Assessment, 4(3), 1–30. https://ejournals.bc.edu/index.php/jtla/article/view/1650.

Balalle, H., & Pannilage, S. (2025). Reassessing academic integrity in the age of AI: A systematic literature review on AI and academic integrity. Social Sciences & Humanities Open, 11, 1-22.

https://doi.org/10.1016/j.ssaho.2025.101299.

Barrot, J., S. (2021). Using automated written corrective feedback in the writing classrooms: effects on L2 writing accuracy. Computer Assisted Language Learning, 36(4), 584–607.

https://doi.org/10.1080/09588221.2021.1936071.

Barrot, J., S. (2023). Using ChatGPT for second language writing: Pitfalls and potentials. Assessing Writing, 57, 1–6. https://doi.org/10.1016/j.asw.2023.100745.

Boudouaia, A., Mouas, S., & Kouider, B. (2024). A Study on ChatGPT-4 as an innovative approach to enhancing English as a Foreign Language writing learning. Journal of Educational Computing Research, 62(6), 1509–1537. https://doi.org/10.1177/07356331241247465.

Bui, N., M., & Barrot, J. S. (2025). ChatGPT as an automated essay scoring tool in the writing classrooms: How it compares with human scoring. Education and Information Technologies, 30(2), 2041–2058. https://doi.org/10.1007/s10639-024-12891-w.

Calma, A., Cotronei-Baird, V., & Chia, A. (2022). Grammarly: An instructional intervention for writing enhancement in management education. The International Journal of Management Education, 20(3), 1–13. https://doi.org/10.1016/j.ijme.2022.100704.

Carlson, M., Pack, A., & Escalante, J. (2023). Utilizing OpenAI’s GPT‐4 for written feedback. TESOL Journal, 15(2), 1–7. https://doi.org/10.1002/tesj.759.

Chan, C., K., Y. (2025). Students’ perceptions of ‘AI-giarism’: Investigating changes in understandings of academic misconduct. Educ Inf Technol 30, 8087–8108. https://doi.org/10.1007/s10639-024-13151-7.

Cheng, A., Calhoun, A., & Reedy, G. (2025). Artificial intelligence-assisted academic writing: Recommendations for ethical use. Advances in Simulation, 10(1), 1–9. https://doi.org/10.1186/s41077-025-00350-6.

Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge.

https://doi.org/10.4324/9781315456539.

Cotton, D., R., E., Cotton, P. A., & Shipway, J., R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239.

https://doi.org/10.1080/14703297.2023.2190148.

Creswell, J., W., & Plano Clark, V., L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.

Darvin, R. (2025). The need for critical digital literacies in generative AI-mediated L2 writing. Journal of Second Language Writing, 67, 1–6. https://doi.org/10.1016/j.jslw.2025.101186.

Dodigovic, M. (2009). Artificial intelligence and second language learning: An efficient approach to error remediation. Language Awareness, 16(2), 99–113. https://doi.org/10.2167/la416.0.

Dörnyei, Z. (2007). Research methods in applied linguistics: Quantitative, qualitative, and mixed methodologies. Oxford University Press.

Escalante, J., Pack, A., & Barrett, A. (2023). AI-generated feedback on writing: Insights into efficacy and ENL student preference. International Journal of Educational Technology in Higher Education, 20(1), 1–20. https://doi.org/10.1186/s41239-023-00425-2.

Fitria, T., N. (2021). Grammarly as AI-powered English Writing Assistant: Students’ alternative for Writing English. Metathesis Journal of English Language Literature and Teaching, 5(1), 65–78. https://doi.org/10.31002/metathesis.v5i1.3519.

Gao, H., Hashim, H., & Md Yunus, M. (2025). Assessing the reliability and relevance of DeepSeek in EFL writing evaluation: A generalizability theory approach. Lang Test Asia 15(33), 1–22.

https://doi.org/10.1186/s40468-025-00369-6.

Goddiksen, M., P., Johansen, M., W., Armond, A., C., Centa, M., Clavien, C., Gefenas, E., Globokar, R., Hogan, L., Kovács, N., Merit, M., T., Olsson, I., S., Poškutė, M., Quinn, U., Santos, J., B., Santos, R., Schöpfer, C., Strahovnik, V., Varga, O., Wall, P. J., . . . Lund, T., B. (2023). Grey zones and good practice: A European survey of academic integrity among undergraduate students. Ethics & Behavior, 34(3), 199–217. https://doi.org/10.1080/10508422.2023.2187804.

Guo, Y., & Wang, Y. (2024). Exploring the effects of artificial intelligence application on EFL students’ academic engagement and emotional Experiences: A mixed‐methods study. European Journal of Education 60(1), 1–15. https://doi.org/10.1111/ejed.12812.

Gutiérrez, L. (2023). Artificial intelligence in language education: Navigating the potential and challenges of chatbots and NLP. Research Studies in English Language Teaching and Learning, 1(3), 180–191.

https://doi.org/10.62583/rseltl.v1i3.44.

Güneş, A., & Kaban, A., L. (2025). A Delphi study on ethical challenges and ensuring academic integrity regarding AI research in higher education. Higher Education Quarterly, 79(4), 1–12.

https://doi.org/10.1111/hequ.70057.

Holmes, W., Bialik, M., Fadel, C. (2019) Artificial intelligence in education promises and implications for teaching and learning. Center for Curriculum Redesign. https://curriculumredesign.org/wp-content/uploads/AIED-Book-Excerpt-CCR.pdf.

Holmes, W., Porayska-Pomsta, K., Holstein, K. et al. (2022). Ethics of AI in education: Towards a community-wide framework. Int J Artif Intell Educ 32, 504–526 https://doi.org/10.1007/s40593-021-00239-1.

Huang, M. (2024). Student engagement and speaking performance in AI-assisted learning environments: A mixed-methods study from Chinese middle schools. Education and Information Technologies, 30, 7143–7165. https://doi.org/10.1007/s10639-024-12989-1.

Hwang, Y., Lee, J. H., & Shin, D. (2023). What is prompt literacy? An exploratory study of language learners’ development of new literacy skill using generative AI. arXiv (Cornell University),1‒22.

https://doi.org/10.48550/arxiv.2311.05373.

Hyland, K. (2016). Teaching and researching writing (3rd ed.). Routledge. https://doi.org/10.4324/9781315717203.

Hysaj, A., Khan, S. A., & Farouqa, G. (2025). Exploring the use of paraphrasing tools in academic writing and its potential relation with instances of plagiarism. In Lecture notes in computer science (pp. 180–193). https://doi.org/10.1007/978-3-031-93539-8_13.

Jang, Y., Choi, S., & Kim, H. (2022). Development and validation of an instrument to measure undergraduate students’ attitudes toward the ethics of artificial intelligence (AT-EAI) and analysis of its difference by gender and experience of AI education. Education and Information Technologies, 27(8), 11635–11667. https://doi.org/10.1007/s10639-022-11086-5.

Johnson, R., B., & Onwuegbuzie, A., J. (2004). Mixed Methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14–26. https://doi.org/10.3102/0013189x033007014.

Kaurov, A., A., & Oreskes, N. (2025). The afterlife of a ghost-written paper: How corporate authorship shaped two decades of glyphosate safety discourse. Environmental Science & Policy, 171, 1–11. https://doi.org/10.1016/j.envsci.2025.104160.

Keller, H., E., & Lee, S. (2003). Ethical issues surrounding human participants research using the internet. Ethics & Behavior, 13(3), 211–219. https://doi.org/10.1207/s15327019eb1303_01.

Kohnke, L. (2023). L2 learners’ perceptions of a chatbot as a potential independent language learning tool. International Journal of Mobile Learning and Organisation, 17(1/2), 214–226. https://doi.org/10.1504/ijmlo.2023.128339.

Koltovskaia, S. (2020). Student engagement with automated written corrective feedback (AWCF) provided by Grammarly: A multiple case study. Assessing Writing, 44, 1–12. https://doi.org/10.1016/j.asw.2020.100450.

Kousa, P., & Niemi, H. (2022). AI ethics and learning: EdTech companies’ challenges and solutions. Interactive Learning Environments, 31(10), 6735–6746. https://doi.org/10.1080/10494820.2022.2043908.

Kurt, G., & Kurt, Y. (2024). Enhancing L2 writing skills: ChatGPT as an automated feedback tool. Journal of Information Technology Education Research, 23, 1–17. https://doi.org/10.28945/5370.

Lee, H., & Lee, J., H. (2024). The effects of AI-guided individualized language learning: A meta-analysis. Language Learning & Technology, 28(2), 134–162. https://doi.org/10.64152/10125/73575.

Li, M., & Wilson, J. (2025). AI-Integrated scaffolding to enhance agency and creativity in K-12 English language learners: A Systematic review. Information, 16(7), 1–23. https://doi.org/10.3390/info16070519.

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.

https://www.pearson.com/content/dam/one-dot-com/one-dot-com/global/Files/about-pearson/innovation/open-ideas/Intelligence-Unleashed-Publication.pdf.

Lund, B., D., Wang, T., Mannuru, N., R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 74(5), 570–581. https://doi.org/10.1002/asi.24750.

Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2), 1–17. https://doi.org/10.1080/2331186x.2023.2236469.

McKinley, J., & Rose, H. (2020). The Routledge handbook of research methods in applied linguistics. Routledge.

Neff, J., Arciaga, K., & Burri, M. (2024). EFL students’ and teachers’ perceptions of the ethical uses of AI tools. Technology in Language Teaching & Learning, 6(3), 1–20. https://doi.org/10.29140/tltl.v6n3.1714.

Nguyen, D., L., Le, P., T., T., & Le, T., T. (2025). Using Gemini for formative assessment in English academic writing - critical insights into the AI tool’s efficacy. AsiaCALL Online Journal, 16(1), 328–343. https://doi.org/10.54855/acoj.2516117.

Odri, G., & Yoon, D. J. Y. (2023). Detecting generative artificial intelligence in scientific articles: Evasion techniques and implications for scientific integrity. Orthopaedics & Traumatology Surgery & Research, 109(8), 1–6. https://doi.org/10.1016/j.otsr.2023.103706.

Othman, A., K., A. (2025). EFL students’ perceptions on using ChatGPT as an AI tool for developing academic writing skills: A case study at University College of Haql. Journal of Curriculum and Teaching, 14(3), 1–18. https://doi.org/10.5430/jct.v14n3p18.

Padillah, R. (2023). Ghostwriting: A reflection of academic dishonesty in the artificial intelligence era. Journal of Public Health, 46(1), e193–e194. https://doi.org/10.1093/pubmed/fdad169.

Page, E., B. (2003). Project Essay Grade: PEG. In M. Shermis & J. Burstein (Eds.), Automated essay scoring (pp. 43–54). Lawrence Erlbaum.

Pourdana, N., Nour, P. & Yousefi, F. (2021). Investigating metalinguistic written corrective feedback focused on EFL learners’ discourse markers accuracy in mobile-mediated context. Asian. J. Second. Foreign. Lang. Educ. 6-7, 1–18 https://doi.org/10.1186/s40862-021-00111-8.

Rahimi, M., Fathi, J. & Zou, D. (2025). Exploring the impact of automated written corrective feedback on the academic writing skills of EFL learners: An activity theory perspective. Educ Inf Technol 30, 2691–2735. https://doi.org/10.1007/s10639-024-12896-5.

Shen, L., Wang, S., & Xin, Y. (2025). EFL students’ writing engagement and AI attitude in GenAI-assisted contexts: A mixed-methods study grounded in SDT and TAM. Learning and Motivation, 92, 1–11. https://doi.org/10.1016/j.lmot.2025.102168.

Shin, Y., Wei, S., & Vanchinkhuu, N. (2025). digital plagiarism in EFL education during the AI era: A comparative study of perceptions among learners and instructors in Korea, Mongolia, and China. LEARN Journal: Language Education and Acquisition Research Network, 18(1), 594–618. https://doi.org/10.70730/RMKA9428.

Song, C., & Song, Y. (2023). Enhancing academic writing skills and motivation: Assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students. Frontiers in Psychology, 14, 1–14. https://doi.org/10.3389/fpsyg.2023.1260843.

Söğüt, S. (2024). Generative artificial intelligence in EFL writing: A pedagogical stance of pre-service teachers and teacher trainers. Focus on ELT Journal, 6(1) 58–73. https://doi.org/10.14744/felt.6.1.5.

Steiss, J., Tate, T., Graham, S., Cruz, J., Hebert, M., Wang, J., Moon, Y., Tseng, W., & Warschauer, M. (2024). Comparing the quality of human and ChatGPT feedback on students’ writing. Learning and Instruction, 91, 1–22. https://doi.org/10.1016/j.learninstruc.2024.101894.

Su, Y., Lin, Y., & Lai, C. (2023). Collaborating with ChatGPT in argumentative writing classrooms. Assessing Writing, 57, 1–11. https://doi.org/10.1016/j.asw.2023.100752.

Talapngoen, S., & Thuratham, W. (2025). The effect of QuillBot utilization on the development of university students’ writing skills. Studies in Self-Access Learning Journal, 16(2), 360–380. https://doi.org/10.37237/160206.

Taye, T., & Mengesha, M. (2024). Identifying and analyzing common English writing challenges among regular undergraduate students. Heliyon, 10(17), 1–13. https://doi.org/10.1016/j.heliyon.2024.e36876.

Turingan, V., T. (2025). Exploring students’ perspectives on utilization of artificial intelligence (AI) writing tools through sequential explanatory mixed method study. International Journal of English Literature and Social Sciences, 10(4), 257–274. https://doi.org/10.22161/ijels.104.37.

Tsai, C.-Y., Lin, Y.-T., & Brown, I. K. (2024). Impacts of ChatGPT-assisted writing for EFL English majors: Feasibility and challenges. Education and Information Technologies, 29(17), 22427–22445. https://doi.org/10.1007/s10639-024-12722-y.

UNESCO. (2023). Guidance for generative AI in education and research. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000386693.

Vetter, M., A., Lucia, B., Jiang, J., & Othman, M. (2024). Towards a framework for local interrogation of AI ethics: A case study on text generators, academic integrity, and composing with ChatGPT. Computers & Composition/Computers and Composition, 71, 1–12. https://doi.org/10.1016/j.compcom.2024.102831.

Wale, B., D., & Kassahun, Y., F. (2024). The transformative power of AI writing technologies: Enhancing EFL writing instruction through the integrative use of Writerly and Google Docs. Human Behavior and Emerging Technologies, 2024, 1–15. https://doi.org/10.1155/2024/9221377.

Wang, L., Chen, X., Wang, C., Xu, L., Shadiev, R., & Li, Y. (2024). ChatGPT’s capabilities in providing feedback on undergraduate students’ argumentation: A case study. Thinking Skills and Creativity, 51, 1–14. https://doi.org/10.1016/j.tsc.2023.101440.

Warschauer, M., Tseng, W., Yim, S., Webster, T., Jacob, S., Du, Q., & Tate, T. (2023). The affordances and contradictions of AI-generated text for writers of english as a second or foreign language. Journal of Second Language Writing, 62, 1–24. https://doi.org/10.1016/j.jslw.2023.101071.

Wilson, J., & Roscoe, R. D. (2019). Automated writing evaluation and feedback: Multiple metrics of efficacy. Journal of Educational Computing Research, 58(1), 87–125. https://doi.org/10.1177/0735633119830764.

Yan, L., Martinez-Maldonado, R., Jin, Y., Echeverria, V., Milesi, M., Fan, J., Zhao, L., Alfredo, R., Li, X., & Gašević, D. (2025). The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics. Computers & Education, 234, 1–24. https://doi.org/10.1016/j.compedu.2025.105322.

Yang, T., Cheon, J., Cho, M., Huang, M., & Cusson, N. (2025). Undergraduate students’ perspectives of generative AI ethics. International Journal of Educational Technology in Higher Education, 22(1), 1–22. https://doi.org/10.1186/s41239-025-00533-1.

Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review. Smart Learning Environments, 11(1), 1–37. https://doi.org/10.1186/s40561-024-00316-7.

Zhang, C., Ma, X., & Lee, I. (2025). Perspectives on potential plagiarism triggered by AI among Chinese university students. The Asia-Pacific Education Researcher, 34, 1937–1945. https://doi.org/10.1007/s40299-025-01004-x.

Zou, M., & Huang, L. (2023). The impact of ChatGPT on L2 writing and expected responses: Voice from doctoral students. Education and Information Technologies, 29(11), 13201–13219. https://doi.org/10.1007/s10639-023-12397-x.

Zou, S., Guo, K., Wang, J., & Liu, Y. (2025). Investigating students’ uptake of teacher- and ChatGPT-generated feedback in EFL writing: A comparison study. Computer Assisted Language Learning, 1–30. https://doi.org/10.1080/09588221.2024.2447279.