Students’ Perception on AI-Based Feedback in Writing Descriptive Text

Authors

  • Kezia Tatipata English Education Department, Univeritas Negeri Manado, Tondano, Sulawesi Utara 95618, Indonesia
  • Ignatius Javier Couturier Tuerah English Education Department, Univeritas Negeri Manado, Tondano, Sulawesi Utara 95618, Indonesia https://orcid.org/0009-0007-3815-6341
  • Herminus Efrando Pabur English Education Department, Univeritas Negeri Manado, Tondano, Sulawesi Utara 95618, Indonesia https://orcid.org/0009-0004-8188-9530

DOI:

https://doi.org/10.59011/austronesian.5.3.2026.822-836

Keywords:

Students’ Perception, AI-Based Feedback, Writing, Descriptive Text

Abstract

This study aimed to explore students’ perceptions of AI-based feedback, its usefulness in writing descriptive texts, their intentions to continue using it, and its positive and negative impacts on writing development. A qualitative case study design was employed to collect data through semi-structured interviews with sixteen students in class 10-4. The study employed a qualitative approach, with interview data collected from 16 students at SMA Negeri 1 Tondano who used ChatGPT as an AI-based feedback tool. The findings revealed that students generally perceived ChatGPT positively, with 14 students (87.5%) describing it as easy, practical, and accessible. Regarding writing development, grammar improvement was the most frequently reported benefit (62.5%), followed by vocabulary enrichment (37.5%), while improvements in text structure were less consistently reported. Students also experienced increased writing confidence, motivation, and opportunities for independent learning. Furthermore, 15 students (93.75%) expressed affirmative or conditional intentions to continue using AI-based feedback. Despite these benefits, over-reliance emerged as the most frequently reported negative impact, identified by eight students (50%). Other concerns included passive acceptance of AI-generated corrections without understanding their underlying linguistic principles, inappropriate use of advanced vocabulary, and reduced engagement in independent writing processes. The study concludes that ChatGPT offers pedagogical potential for improving grammatical accuracy, vocabulary development, and students’ affective engagement in descriptive text writing. Nevertheless, its effectiveness depends on critical student engagement and appropriate pedagogical guidance. Therefore, AI-based feedback should be integrated as a supplementary tool within a teacher-mediated instructional framework rather than used as a substitute for teacher guidance and independent learning.

References

Abdeta, M. T., Olamo, T. G., & Woldeyes, K. M. (2026). Enhancing learners social skills in EFL classrooms: The role of collaborative writing instruction. Acta Psychologica, 263, 106307. https://doi.org/10.1016/j.actpsy.2026.106307

Al-selwi, A. S. T. (2025). Artificial Intelligence: Implications for English Language Teaching. Sakaguru: Journal of Pedagogical and Creative Teacher, 2(2), 81–90. https://doi.org/10.70211/sakaguru.v2i2.282

Al Yakin, A., Muthmainnah, M., Asad, M. M., & Almusharraf, N. M. (2026). Rethinking sociology education in human–robot social interaction learning ecosystems: a mixed method study. International Journal of Sociology and Social Policy, 1–15. https://doi.org/10.1108/IJSSP-08-2025-0566

Ali, O., Murray, P. A., Momin, M., Dwivedi, Y. K., & Malik, T. (2024). The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting and Social Change, 199, 123076. https://doi.org/10.1016/j.techfore.2023.123076

Alreshidi, S. M., Almutairi, A. A., El Malti, W., Jomaa, L., Dankar, M., & Fawaz, M. (2026). Perceptions of Lebanese students regarding Integration of Artificial Intelligence in English University courses. Acta Psychologica, 265, 106629. https://doi.org/10.1016/j.actpsy.2026.106629

Apridayani, A., & Waluyo, B. (2025). Valuing students mindsets in essay compositions: Active learning and feedback approaches. Social Sciences & Humanities Open, 11, 101273. https://doi.org/10.1016/j.ssaho.2024.101273

Atikah. (2026). The Use of Artificial Intelligence (AI) in Teaching English Writing. Jurnal Alwatzikhoebillah: Kajian Islam, Pendidikan, Ekonomi, Humaniora, 12(1), 653–660. https://doi.org/10.37567/alwatzikhoebillah.v12i1.5212

Berisha Qehaja, A. (2025). Strategic integration of artificial intelligence solutions to transform teaching practices in higher education. Foresight, 27(5), 970–991. https://doi.org/10.1108/FS-04-2024-0079

Birgün, M. (2026). Integrating AI into Quran learning: Technical advances and pedagogical gaps. Social Sciences & Humanities Open, 13, 102499. https://doi.org/10.1016/j.ssaho.2026.102499

Bongsu, S., Mohamed, W. N. M. N., & Mohamed, W. N. W. (2025). Determinants of Students Intention to Use AI-Powered Writing Tools in Academic Writing. International Journal of Research and Innovation in Social Science (IJRISS), IX(III), 5616–5630. https://doi.org/10.47772/IJRISS.2025.903SEDU0411

Cai, Z., Gui, Y., Mao, P., Wang, Z., Hao, X., Fan, X., & Tai, R. H. (2023). The effect of feedback on academic achievement in technology-rich learning environments (TREs): A meta-analytic review. Educational Research Review, 39, 1–19. https://doi.org/10.1016/j.edurev.2023.100521

Chakraborty, S. (2026). Generative artificial intelligence in fifth-generation education systems: A systematic review. Engineering Applications of Artificial Intelligence, 173, 114463. https://doi.org/10.1016/j.engappai.2026.114463

Chong, S. W. (2019). A Systematic Review of Written Corrective Feedback Research in ESL/EFL Contexts. Language Education & Assessment, 2(2), 70–95. https://doi.org/10.29140/lea.v2n2.138

Dawes, A. E., & Melnikova, M. (2025). AI as a writing feedback companion: Student beliefs. JALTCALL Trends, 1(1), 2155. https://doi.org/10.29140/jct.v1n1.2155

Dissanayake, H., Manta, O., Iddagoda, A., & Palazzo, M. (2025). Artificial intelligence and management Education: Bibliometric analysis. The International Journal of Management Education, 23(3), 101222. https://doi.org/10.1016/j.ijme.2025.101222

Ekizer, F. N. (2025). Exploring the impact of artificial intelligence on English language teaching: A meta-analysis. Acta Psychologica, 260, 105649. https://doi.org/10.1016/j.actpsy.2025.105649

Ekizoğlu, M., & Demir, A. N. (2025). The role of AI assisted writing feedback in developing secondary students writing skills. Discover Education, 4:454, 1–17. https://doi.org/10.1007/s44217-025-00919-3

Fathimatuzahro, M., & Rizkiyah, F. (2025). AI-driven feedback in EFL students writing: Does it enhance their skills? Celtic : A Journal of Culture, English Language Teaching, Literature and Linguistics, 12(1), 637–657. https://doi.org/10.22219/celtic.v12i1.40594

Gan, Z., He, J., Zhang, L. J., & Schumacker, R. (2023). Examining the Relationships between Feedback Practices and Learning Motivation Examining the Relationships between Feedback Practices and. Measurement: Interdisciplinary Research and Perspectives, 21(1), 38–50. https://doi.org/10.1080/15366367.2022.2061236

Hu, H., Gong, Q., & Harwati, H. (2026). The Impact of ChatGPT-Generated Feedback on English Academic Writing Proficiency and Engagement: A Mixed-Methods Study. SAGE Open, 16(3), 1–17. https://doi.org/10.1177/21582440261480859

Hyland, K. (2026). EFL teachers and feedback fatigue: AI to the rescue? Language Teaching, 59(3), 310–326. https://doi.org/10.1017/S0261444825101018

Kristianto, V. A., Sucipto, Handayani, S., & Yuhanafia, N. (2025). Evaluation of the Feedback Impact Generated by Generative Artificial Intelligence on Writing Ability in Descriptive Texts. Language Circle: Journal of Language and Literature, 20(1), 428–439. https://doi.org/10.15294/lc.v19i2.21540

Kurt, G., & Kurt, Y. (2024). Enhancing L2 Writing Skills: ChatGpt as an Automated Feedback Tool. Journal of Information Technology Education: Research, 23. https://doi.org/10.28945/5370

Laila, N., & Daulay, E. (2024). Students Perception of Using Quillbot to Improve Students Writing Skills. Indonesian EFL Journal, 10(2), 223–232. https://doi.org/10.25134/ieflj.v10i2.10083

Maharani, M. M., Nugroho, A. A., Widiyati, E., & Hidayati, N. (2024). Descriptive Text Writing in the Perspective of Surface Strategy Taxonomy. Journal of Advanced Multidisciplinary Research, 5(1), 1–12. https://doi.org/10.30659/JAMR.4.2.1-12

Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., Darwis, A., & Marzuki. (2023). Exploring Artificial Intelligence in Academic Essay: Higher Education Students Perspective. International Journal of Educational Research Open, 5, 100296. https://doi.org/10.1016/j.ijedro.2023.100296

Matsumur, L. C., Patthey-Chave, G. G., Valdes, R., & Garnier, H. (2002). Teacher Feedback, Writing Assignment Quality, and Third- Grade Students Revision in Lower-and Higher-Achieving Urban Schools. The Elementary School Journal, 103(1), 3–25. http://www.jstor.org/stable/1002306

Mujeeb, N., Lodhi, M. A., Ali, A., Mashwani, W. K., Mostafa, S. M., & Ahmadini, A. A. H. (2026). Beyond red ink: AI feedback and ESL academic writing development in higher education. Language Testing in Asia, 16(24), 1–21. https://doi.org/10.1186/s40468-026-00442-8

Nedrehagen, E., Vee, T. S., Stokstad, J. M., & Orm, S. (2025). A scoping review of dialogic formative feedback practices in higher education. Frontiers in Education, 10. https://doi.org/10.3389/feduc.2025.1696703

Nurfidoh, S., & Kareviati, E. (2021). An Analysis of Students Difficulties in Writing Descriptive Texts. PROJECT (Professional Journal of English Education), 4(1), 16–22. https://doi.org/10.22460/project.v4i1.p16-22

Pham, A. N. M., Doan, A. N., Tran, T. T., Truong, H. N., & Nguyen, T. P. (2026). The impact of student engagement on student satisfaction in an English as the medium of instruction environment at a private university in Vietnam. Acta Psychologica, 263, 106315. https://doi.org/10.1016/j.actpsy.2026.106315

Qiao, S., Gu, M. M., & Lu, C. (2025). Artificial Intelligence for Language Learning: A Systematic Review of its Design, Theoretical Foundations, Implementation, and Impact. International Journal OfApplied Linguistics, 36(1), 3183–3202. https://doi.org/10.1111/ijal.70034

Ritchie, J., & Lewis, J. (2003). Qualitative Research Practice: A Guide for Social Science Students and Researchers. In Journal of Social Intervention: Theory and Practice. Sage Publication Ltd. https://doi.org/10.18352/jsi.39

Sankaran, S., & Fin, L. S. (2025). Effectiveness of Feedback on Continuous Assessment: Students Views. Asian Journal of Assessment in Teaching and Learning, 15(1), 49–62. https://doi.org/10.37134/ajatel.vol15.1.4.2025

Sayfiddinova, N. (2025). The Role of Artificial Intelligence in Enhancing English Language Teachers Professional Competence. Pubmedia Jurnal Pendidikan Bahasa Inggris, 3(1), 1–6. https://doi.org/10.47134/jpbi.v3i1.2345

Schreier, M. (2024). Qualitative Content Analysis in Practice (1st ed.). Sage Publication Ltd. https://doi.org/10.4135/9781529682571

Shi, H., & Aryadoust, V. (2024). A systematic review of AI-based automated written feedback research. ReCall, 1–23. https://doi.org/10.1017/S0958344023000265

Suryanarayana, K. S., Kandi, V. S. P., Pavani, G., Rao, A. S., Rout, S., & Siva Rama Krishna, T. (2024). Artificial Intelligence Enhanced Digital Learning for the Sustainability of Education Management System. The Journal of High Technology Management Research, 35(2), 100495. https://doi.org/10.1016/j.hitech.2024.100495

Tang, W. K.-W., & Zhang, X.-Y. (2026). Artificial Intelligence in English as a foreign language learning: A systematic review of technologies, tools, and their impacts. Computers and Education: Artificial Intelligence, 10, 100595. https://doi.org/10.1016/j.caeai.2026.100595

Thomas, K., Khandakar, A., Ayari, M. A., Naji, K., Al-Ali, A., Sellami, A. L., Al-Hazbi, S. M. A., & Ahamed, M. F. (2026). Artificial intelligence in the metaverse: Innovations, challenges, and future directions. Computers and Electrical Engineering, 137, 111262. https://doi.org/10.1016/j.compeleceng.2026.111262

Torres, P. J., & Kahveci, Y. E. (2025). Effectiveness of Artificial Intelligence (AI) in language teaching. Computers and Education: Artificial Intelligence, 9, 100522. https://doi.org/10.1016/j.caeai.2025.100522

Ukwandu, E., Omisade, O., Jones, K., Thorne, S., & Castle, M. (2025). The future of teaching and learning in the context of emerging artificial intelligence technologies. Futures, 171, 103616. https://doi.org/10.1016/j.futures.2025.103616

Urzúa, C. A. C., Ranjan, R., Saavedra, E. E. M., Badilla-Quintana, M. G., Lepe-Martínez, N., & Philominraj, A. (2025). Effects of AI-Assisted Feedback via Generative Chat on Academic Writing in Higher Education Students: A Systematic Review of the Literature. Education Sciences, 15(10), 1–16. https://doi.org/10.3390/educsci15101396

Wahyuni, S., Dewi, D. S., Wulandari, R. S., Thohiriyah, Kurniadi, D., Muawanah, F. H., Chairunnisa, N. Z., & Ardhi, M. A. (2026). Evaluating students perceptions, writing outcomes, and challenges in using AI-based feedback systems for english academic writing. Multidisciplinary Reviews, 9(8), 2026380. https://doi.org/10.31893/multirev.2026380

Wisniewski, B., Zierer, K., & Hattie, J. (2020). The Power of Feedback Revisited: A Meta-Analysis of Educational Feedback Research. Frontiers in Psychology, 10, 1–14. https://doi.org/10.3389/fpsyg.2019.03087

Yang, N., Gao, N., & Zhang, T. (2025). Artificial Intelligence in EFL Writing Enhancement: A Study on Chatbot Feedback and Learner Autonomy. International Journal of Web-Based Learning and Teaching Technologies, 20(1), 1–40. https://doi.org/10.4018/IJWLTT.390442

Yin, R. K. (2017). Case Study Research and Applications: Design and Methods (6th ed.). Sage.

Zhang, L., & Wang, T. (2026). Intelligent Teaching of Higher Ideological and Political Education Using Artificial Intelligence. Journal of Cases on Information Technology, 28(1). https://doi.org/10.4018/JCIT.402016

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Published

2026-12-01

How to Cite

Students’ Perception on AI-Based Feedback in Writing Descriptive Text. (2026). Austronesian: Journal of Language Science & Literature, 5(3), 822-836. https://doi.org/10.59011/austronesian.5.3.2026.822-836