ENGLISH TEACHERS’ PERCEPTIONS OF GENERATIVE AI USE IN TEACHING WRITING
DOI:
https://doi.org/10.51878/edutech.v6i4.16409Keywords:
Generative AI, persepsi guru, pembelajaran menulisAbstract
This study aims to explore English teachers’ perceptions regarding the use of Generative Artificial Intelligence (GenAI) in teaching writing at the senior high school level. A qualitative descriptive case study design was employed at a public senior high school in Garut, West Java. The participants were two experienced English teachers purposively selected based on their teaching tenure and digital tool integration. Data were gathered through semi-structured interviews, pedagogical document analysis, and observational field notes, then examined using Braun and Clarke’s six-phase thematic analysis. The analysis yielded six core themes: GenAI as a support for student writing, GenAI as a support for teaching, GenAI as a risk to independent learning, GenAI as a risk to textual authenticity, GenAI as a tool demanding responsible use, and GenAI as a challenge for writing assessment. The findings demonstrate that teachers maintain a conditional and context-dependent perception of AI integration. While teachers recognize its utility for lexical scaffolding and conceptual brainstorming, they emphasize rigorous boundary setting to prevent the erosion of learner autonomy and textual originality.
ABSTRAK
Penelitian ini bertujuan untuk mengeksplorasi persepsi guru bahasa Inggris terhadap pemanfaatan Generative Artificial Intelligence (GenAI) dalam pembelajaran menulis pada jenjang sekolah menengah atas. Penelitian ini menggunakan pendekatan kualitatif dengan desain studi kasus deskriptif pada sebuah SMA negeri di Garut, Jawa Barat. Partisipan terdiri atas dua orang guru bahasa Inggris berpengalaman yang dipilih secara purposif berdasarkan kriteria masa kerja dan kebiasaan memanfaatkan teknologi digital. Data dikumpulkan melalui wawancara semi-terstruktur, analisis artefak pembelajaran, dan catatan lapangan, kemudian dianalisis menggunakan analisis tematik model enam tahap Braun dan Clarke. Hasil analisis menghasilkan enam tema utama: GenAI sebagai pendukung tulisan siswa, GenAI sebagai pendukung pengajaran, GenAI sebagai risiko terhadap pembelajaran mandiri siswa, GenAI sebagai risiko terhadap keaslian tulisan, GenAI sebagai alat yang memerlukan penggunaan bertanggung jawab, dan GenAI sebagai tantangan bagi asesmen menulis. Temuan menunjukkan bahwa persepsi guru bersifat kondisional dan terikat pada konteks pedagogis di ruang kelas. Guru memandang GenAI bermanfaat untuk stimulasi kosakata dan ide awal, namun penggunaannya harus dibatasi agar tidak mengikis kemandirian berpikir serta orisinalitas karya tulis siswa.
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Barrett, A., & Pack, A. (2023). Not quite eye to A.I.: Student and teacher perspectives on the use of generative artificial intelligence in the writing process. International Journal of Educational Technology in Higher Education, 20(1), Article 59. https://doi.org/10.1186/s41239-023-00427-0
Benek, K. (2025). EFL learners’ and teachers’ perceptions of AI-powered language learning technologies: Benefits and challenges. International Journal of Instruction, 18(2), 103–120. https://doi.org/10.29333/iji.2025.1827a
Borg, S. (2003). Teacher cognition in language teaching: A review of research on what language teachers think, know, believe, and do. Language Teaching, 36(2), 81–109. https://doi.org/10.1017/S0261444803001903
Braun, V., & Clarke, V. (2021). To TA or not to TA? Comparing reflexive thematic analysis and other pattern-based qualitative analytic approaches. Counselling and Psychotherapy Research, 21(1), 37–47. https://doi.org/10.1002/capr.12360
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616–630. https://doi.org/10.1007/s11528-022-00715-y
Chaaban, Y., Al?Thani, H., & Du, X. (2021). A narrative inquiry of teacher educators’ professional agency, identity renegotiations, and emotional responses amid educational disruption. Teaching and Teacher Education, 108, Article 103522. https://doi.org/10.1016/j.tate.2021.103522
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). 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
Daud, A., Aulia, A. F., Muryanti, Harfal, Z., Nabilla, O., & Ali, H. S. (2025). Integrating artificial intelligence into English language teaching: A systematic review. European Journal of Educational Research, 14(2), 677–691. https://doi.org/10.12973/eu-jer.14.2.677
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Evmenova, A. S., Regan, K., Mergen, R., & Hrisseh, R. (2024). Improving writing feedback for struggling writers: Generative AI to the rescue? TechTrends, 68(4), 790–802. https://doi.org/10.1007/s11528-024-00965-y
Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., Shen, Y., Li, X., & Gaševi?, D. (2024). Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, process, and performance. British Journal of Educational Technology, 55(5), 1874–1896. https://doi.org/10.1111/bjet.13478
Graham, S., & Alves, R. A. (2021). Research and teaching writing. Reading and Writing, 34(7), 1613–1621. https://doi.org/10.1007/s11145-021-10188-9
Hyland, K. (2019). Second language writing (2nd ed.). Cambridge University Press.
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, Article 102274. https://doi.org/10.1016/j.lindif.2023.102274
Ma, S. A. (2026a). Speed is not strength: Judgment surrender and cognitive illusion in AI-mediated education. Zenodo. https://doi.org/10.5281/zenodo.18182401
Ma, S. A. (2026b). Speed is not strength: Judgment surrender and cognitive illusion in AI-mediated education. Zenodo. https://doi.org/10.5281/zenodo.18182400
Mahapatra, S. (2024). Impact of ChatGPT on ESL students’ academic writing skills: A mixed methods intervention study. Smart Learning Environments, 11(1), Article 20. https://doi.org/10.1186/s40561-024-00295-9
Mardhiyya, Q. A., Saptaningtyas, A. R., Syifa, K. M., & Lestari, V. L. (2025). The perception of teachers on the integration of AI in English language teaching. IDEAS: Journal on Language Teaching and Learning, Linguistics and Literature, 13(2), 8169–8185. https://doi.org/10.24256/ideas.v13i2.8860
Marzuki, A. G., Aisiyiah, V. M. N., Erizar, E., Amalia, I., Huriyah, H., Triassanti, R., & Kencanawati, D. (2026). Investigating teachers’ pedagogical adaptations for effective technology integration in EFL classrooms. Al-Lisan: Jurnal Bahasa (dan Pengajarannya), 11(1), 1–14. https://doi.org/10.30603/al.v11i1.6828
Mulkiyah, U. (2024). Integrating artificial intelligence in EFL classrooms: Opportunities and challenges for Indonesian teachers. Journal Corner of Education, Linguistics, and Literature, 4(1), 765–773. https://doi.org/10.54012/jcell.v4i1.507
O’Brien, A., & Forde, C. (2023). Health science staff and student experiences of teaching and assessing clinical skills using digital tools: A qualitative study. Annals of Medicine, 55(2), Article 2256656. https://doi.org/10.1080/07853890.2023.2256656
Papakonstantinidis, S., Kwiatek, P., & Spathopoulou, F. (2024). Embrace or resist? Drivers of artificial intelligence writing software adoption in academic and non-academic contexts. Contemporary Educational Technology, 16(2), Article ep501. https://doi.org/10.30935/cedtech/14250
Stenalt, M. H., & Mathiasen, H. (2024). Towards teaching-sensitive technology: A hermeneutic analysis of higher education teaching. International Journal of Educational Technology in Higher Education, 21(1), Article 24. https://doi.org/10.1186/s41239-024-00449-2
Wang, C. (2024). Exploring students’ generative AI-assisted writing processes: Perceptions and experiences from native and nonnative English speakers. Technology, Knowledge and Learning, 30(3), 1825–1846. https://doi.org/10.1007/s10758-024-09744-3
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