Exploring ChatGPT as corrective feedback in Arabic writing: A phenomenological study of Indonesian university students’ experiences
DOI:
https://doi.org/10.30603/al.v11i2.8181Keywords:
Arabic language learning; , Artificial Intelligence; , ChatGPT; , corrective feedback; , Mahārah al-Kitābah; , phenomenology studyAbstract
Background: Artificial Intelligence (AI), particularly ChatGPT, has created new opportunities in language learning by providing automated written corrective feedback. However, studies examining students’ experiences in using ChatGPT as corrective feedback in Arabic writing skills instruction remain limited, particularly within the context of higher education in Indonesia.
Aims: This study explores students’ experiences using ChatGPT as corrective feedback in Arabic writing instruction, identifying perceived benefits, challenges, and educational significance.
Methods: This study employed a qualitative approach using a descriptive phenomenological research design. The participants were students of the Arabic Language Education Program, FITK UNSIQ Wonosobo, selected through purposive sampling. Data were collected through in-depth interviews and documentation, including students’ written assignments and screenshots of their interactions with ChatGPT. Data were analyzed using Colaizzi’s phenomenological analysis method. To ensure the trustworthiness of the findings, source triangulation, member checking, and peer debriefing were employed.
Results: The findings revealed five major themes: (1) ChatGPT provides corrective feedback that is easy to understand through clear explanations; (2) it enhances students’ revision skills and learner autonomy; (3) it supports idea development and improves the quality of students’ writing; (4) it encourages students to verify the feedback due to concerns regarding its accuracy; and (5) it improves task completion efficiency by providing rapid feedback. Overall, the participants perceived ChatGPT as an effective learning companion; however, they emphasized that it cannot replace the role of lecturers in the teaching and learning process.
Implications: The findings suggest ChatGPT has considerable potential as a corrective feedback tool to support Mahārah al-Kitābah instruction, particularly in developing revision skills and learner autonomy.
Downloads
References
AlAfnan, M. A., Dishari, S., Jovic, M., & Lomidze, K. (2023). ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology. https://doi.org/10.37965/jait.2023.0184
Albadarin, Y., Saqr, M., Pope, N., & Tukiainen, M. (2024). A systematic literature review of empirical research on ChatGPT in education. Discover Education, 3(1), 60. https://doi.org/10.1007/s44217-024-00138-2
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
Baig, M. I., & Yadegaridehkordi, E. (2024). ChatGPT in the higher education: A systematic literature review and research challenges. International Journal of Educational Research, 127, 102411. https://doi.org/10.1016/j.ijer.2024.102411
Barrot, J. S. (2023). 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
Brazão, P., & Tinoca, L. (2025). Artificial intelligence and critical thinking: a case study with educational chatbots. Frontiers in Education. https://doi.org/10.3389/feduc.2025.1630493
Bonyadi, A. (2023). Phenomenology as a research methodology in teaching English as a foreign language. Asian-Pacific Journal of Second and Foreign Language Education, 8(1), 11. https://doi.org/10.1186/s40862-022-00184-z
Brown, D., Liu, Q., & Norouzian, R. (2026). Effectiveness of written corrective feedback in developing L2 accuracy: A Bayesian meta-analysis. Language Teaching Research, 30(3), 1357–1389. https://doi.org/10.1177/13621688221147374
Chen, J. (2022). The effectiveness of self-regulated learning (SRL) interventions on L2 learning achievement, strategy employment and self-efficacy: A meta-analytic study. Frontiers in Psychology, 13, 1021101. https://doi.org/10.3389/fpsyg.2022.1021101
Colaizzi, P.F. (1978) Psychological research as a phenomenologist views it. In: Valle, R.S. and King, M., Eds., Existential-PhenomenologicalAlternatives for Psychology,Oxford University Press, New York, 48-71. (PDF) Application of Colaizzi’s Method of Data Analysis in Phenomenological Research.
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), 57. https://doi.org/10.1186/s41239-023-00425-2
Farrell, E. (2020). Researching lived experience in education: Misunderstood or missed opportunity? International Journal of Qualitative Methods, 19, 1609406920942066. https://doi.org/10.1177/1609406920942066
Garib, A. (2023). "Actually, it's real work": EFL teachers' perceptions of technology-assisted project-based language learning in Lebanon, Libya, and Syria. TESOL Quarterly, 57(4), 1434–1462. https://doi.org/10.1002/tesq.3202
Gonsalves, C. (2024). Generative ai’s impact on critical thinking: Revisiting Bloom’s taxonomy. Journal of Marketing Education, 48, 4-19. https://doi.org/10.1177/02734753241305980
Grassini, S. (2023). Shaping the future of education: Exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692
Guo, K., & Wang, D. (2024). To resist it or to embrace it? Examining ChatGPT's potential to support teacher feedback in EFL writing. Education and Information Technologies, 29(7), 8435–8463. https://doi.org/10.1007/s10639-023-12146-0
Guo, K., Wang, J., & Chu, S. K. W. (2022). Using chatbots to scaffold EFL students' argumentative writing. Assessing Writing, 54, 100666. https://doi.org/10.1016/j.asw.2022.100666
Hamano-Bunce, D. (2025). The effects of direct written corrective feedback and comparator texts on the complexity and accuracy of revisions and new pieces of writing. Language Teaching Research, 29(6), 2460–2479. https://doi.org/10.1177/13621688221127643
Hasan, J. R., Habibie, A., & Machmud, K. (2025). Formative assessment and English as a foreign language (EFL) teachers’ corrective feedback on teaching writing in higher education level: Practice and challenges. Asia Pacific Journal of Educators and Education, 40(2), 69–99. https://doi.org/10.21315/apjee2025.40.2.4
Imran, M., & Almusharraf, N. (2023). Analyzing the role of ChatGPT as a writing assistant at higher education level: A systematic review of the literature. Contemporary Educational Technology, 15(4), ep464. https://doi.org/10.30935/cedtech/13605
Koltovskaia, S. (2020). Student engagement with automated written corrective feedback (AWCF) provided by Grammarly: A multiple case study. Assessing Writing, 44, 100450. https://doi.org/10.1016/j.asw.2020.100450
Køster, A., & Fernandez, A. V. (2023). Investigating modes of being in the world: An introduction to phenomenologically grounded qualitative research. Phenomenology and the Cognitive Sciences, 22(1), 149–169. https://doi.org/10.1007/s11097-020-09723-w
Law, L. (2024). Application of generative artificial intelligence (GenAI) in language teaching and learning: A scoping literature review. Computers and Education Open, 6, 100174. https://doi.org/10.1016/j.caeo.2024.100174
Levine, S., Beck, S. W., Mah, C., Phalen, L., & Pittman, J. (2024). How do students use ChatGPT as a writing support?. Journal of Adolescent & Adult Literacy. 68. 445-457. https://doi.org/10.1002/jaal.1373
Montenegro-Rueda, M., Fernández-Cerero, J., Fernández-Batanero, J. M., & López-Meneses, E. (2023). Impact of the implementation of ChatGPT in education: A systematic review. Computers, 12(8), 153. https://doi.org/10.3390/computers12080153
Mun, J. Y. (2020). Effects of Arabic writing education on improving learners' grammar and vocabulary skills: Focused on free writing and guided writing. Arabic Language & Literature, 24(1), 29–58. https://doi.org/10.18630/KAALL.2020.24.1.002
Peraza, A. V. F., & Furumura, Y. (2022). Project-based learning to develop intercultural communicative competence in virtual exchange contexts. International Journal of Computer-Assisted Language Learning and Teaching, 12(3), 1–17. https://doi.org/10.4018/IJCALLT.307059
Ranalli, J., & Yamashita, T. (2022). Automated written corrective feedback: Error-correction performance and timing of delivery. Language Learning & Technology, 26(1), 1–25. https://doi.org/10.64152/10125/73465
Shadiev, R., & Wang, X. (2022). A review of research on technology-supported language learning and 21st century skills. Frontiers in Psychology, 13, 897689. https://doi.org/10.3389/fpsyg.2022.897689
Shen, Y., & Chen, L. (2025). ‘Critical chatting’ or ‘casual cheating’: How graduate EFL students utilize ChatGPT for academic writing. Computer Assisted Language Learning, 39, 1447 - 1475. https://doi.org/10.1080/09588221.2025.2479141
Stolz, S. A. (2020). Phenomenology and phenomenography in educational research: A critique. Educational Philosophy and Theory, 52(10), 1077–1096. https://doi.org/10.1080/00131857.2020.1724088
Su, Y., Lin, Y., & Lai, C. (2023). Collaborating with ChatGPT in argumentative writing classrooms. Assessing Writing, 57, 100752. https://doi.org/10.1016/j.asw.2023.100752
Tomaszewski, L. E., Zarestky, J., & Gonzalez, E. (2020). Planning qualitative research: Design and decision making for new researchers. International Journal of Qualitative Methods, 19, 1609406920967174. https://doi.org/10.1177/1609406920967174
Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21, 1-29. https://doi.org/10.1186/s41239-024-00448-3
Wang, C. (2024). Exploring students’ generative ai-assisted writing processes: Perceptions and experiences from native and nonnative English speakers. Technology, Knowledge and Learning, 30, 1825 - 1846. https://doi.org/10.1007/s10758-024-09744-3
Yu, B. (2023). Self-regulated learning: A key factor in the effectiveness of online learning for second language learners. Frontiers in Psychology, 13, 1051349. https://doi.org/10.3389/fpsyg.2022.1051349
Zaki, M. (2021). Self-correction through corpus-based tasks: Improving writing skills of Arabic learners. International Journal of Applied Linguistics, 31(2), 193–210. https://doi.org/10.1111/ijal.12312
Zheng, L., & Yang, Y. (2024). Research perspectives and trends in artificial intelligence-enhanced language education: A review. Heliyon, 10(19), e38617. https://doi.org/10.1016/j.heliyon.2024.e38617
محمّد، ج. ح. ج.، عبد الله، س. ي. م.، & عبد الحميد، س. م. م. (2022). مشكلات مهارة الكتابة لدى الناطقين بغير العربية (بالتطبيق على المعاهد المتخصّصة بالمملكة العربية السعودية). مجلة الدراسات اللغوية والأدبية
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Thoriq Majid, Asep Sunarko, Lulu Alyaida

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Copyright Notice
Authors who publish in Al-Lisan: Jurnal Bahasa (e-Journal) agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.







