Persepsi Mahasiswa terhadap Penggunaan AI-Assisted Writing dalam Penulisan Teks Akademik
Abstract
Studi ini bertujuan menjabarkan persepsi mahasiswa pendidikan tinggi vokasi terhadap penggunaan AI-Assisted Writing dalam konteks institusi politeknik. Studi ini membahas terbatasnya penelitian tentang penggunaan AI di kalangan siswa vokasi, khususnya di lingkungan pendidikan tinggi. Menggunakan Model Penerimaan Teknologi (TAM) sebagai kerangka teoretis, penelitian ini berfokus pada persepsi mahasiswa tentang kegunaan, kemudahan penggunaan, dan tantangan yang terkait dengan AI-Assisted Writing. Pendekatan fenomenologis kualitatif diadopsi, melibatkan 20 mahasiswa dari berbagai jurusan di Politeknik Negeri Malang (Polinema) yang dipilih melalui purposive sampling. Data dikumpulkan melalui wawancara semi-terstruktur dan dianalisis menggunakan analisis tematik. Temuan menunjukkan bahwa sebagian besar peserta memandang alat AI seperti ChatGPT, Grammarly, dan QuillBot secara positif, terutama untuk mendukung pengembangan ide, parafrase, pemeriksaan tata bahasa, dan meningkatkan kualitas penulisan akademik. Mahasiswa juga menganggap alat-alat ini relatif mudah digunakan, dengan pembelajaran dari teman sebaya dan eksplorasi mandiri memainkan peran penting dalam adopsinya. Meskipun ada manfaat-manfaat ini, beberapa kekhawatiran muncul, termasuk informasi yang dihasilkan AI yang tidak akurat, ketergantungan berlebihan pada AI, pengurangan keterlibatan berpikir kritis, dan ketidakpastian mengenai integritas akademik. Banyak siswa menekankan pentingnya memverifikasi konten yang dihasilkan oleh AI, terutama untuk informasi teknis dan akademis. Siswa yang menunjukkan literasi AI yang lebih kuat cenderung menggunakan AI secara kritis dan bertanggung jawab, memperlakukannya sebagai alat bantu belajar daripada pengganti pemikiran mandiri. Studi ini menyoroti pentingnya mengembangkan kebijakan institusional yang jelas dan mengintegrasikan literasi AI ke dalam pengajaran penulisan akademik di pendidikan tinggi vokasi. Temuan ini berkontribusi pada diskusi yang sedang berlangsung mengenai integrasi AI yang etis dan bertanggung jawab dalam lingkungan pembelajaran akademik.
Keywords: Penulisan Berbantuan AI Persepsi mahasiswa; Model Penerimaan Teknologi; Penulisan akademik
This study examines vocational higher education students’ perceptions of AI-Assisted Writing (AI-AW) tools in academic writing within the context of a polytechnic institution. The study addresses the limited research on AI use among vocational students. Using the Technology Acceptance Model (TAM) as the theoretical framework, the research focuses on students’ perceptions of the usefulness, ease of use, and challenges associated with AI-AW tools. A qualitative phenomenological approach was adopted, involving 20 students from different academic departments at Malang State Polytechnic (Polinema), Indonesia, selected through purposive sampling. Data were gathered through semi-structured interviews and analyzed using thematic analysis. The findings indicate that most participants viewed AI tools such as ChatGPT, Grammarly, and QuillBot positively, especially for supporting idea development, paraphrasing, grammar checking, and improving the quality of academic writing. Students also considered these tools relatively easy to use, with peer learning and self-directed exploration playing an important role in their adoption. Despite these benefits, several concerns emerged, including inaccurate AI-generated information, overreliance on AI, reduced critical thinking engagement, and uncertainty regarding academic integrity. Many students emphasized the importance of verifying AI-generated content, particularly for technical and academic information. Students who demonstrated stronger AI literacy tended to use AI critically and responsibly, treating it as a learning aid rather than a replacement for independent thinking. The study highlights the importance of developing clear institutional policies and integrating AI literacy into academic writing instruction in vocational higher education. These findings contribute to ongoing discussions regarding ethical and responsible AI integration in academic learning environments
Kata Kunci: AI-Assisted Writing; students' perceptions; Technology Acceptance Model; academic writing; vocational higher education
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Aljuaid, H. (2024). The impact of artificial intelligence tools on academic writing instruction in higher education: A systematic review. Arab World English Journal, 1(1), 26–55. https://doi.org/10.24093/awej/ChatGPT.2
Almassaad, A., Alajlan, H., & Alebaikan, R. (2024). Student perceptions of generative artificial intelligence: Investigating utilization, benefits, and challenges in higher education. Systems, 12(10), 385. https://doi.org/10.3390/systems12100385
Cail, J. (2025). Visualization of AI accuracy: A novel assignment for the teaching of critical thinking and science writing. Teaching of Psychology, 52(3), 285–290. https://doi.org/10.1177/00986283241289551
Çela, E., Fonkam, M. M., & Potluri, R. M. (2024). Risks of AI-Assisted Learning on student critical thinking: A case study of Albania. International Journal of Risk and Contingency Management (IJRCM), 12(1), 1–19. https://doi.org/10.4018/IJRCM.350185
Chen, J., Wang, S., & Lin, J. (2025). A survey on AI literacy for academic english writing among Chinese University Students. English Language Teaching, 18(11), p21. https://doi.org/10.5539/elt.v18n11p21
Cheng, A., Calhoun, A., & Reedy, G. (2025). Artificial intelligence-assisted academic writing: recommendations for ethical use. Advances in Simulation, 10(1), 22. https://doi.org/10.1186/s41077-025-00350-6
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
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
Fauzi, M. R., Zahro, S. F., Bashith, A., & Hakim, M. J. M. (2025). Peluang dan tantangan integrasi artificial intelligence dalam evaluasi pembelajaran Pendidikan Agama Islam. EDUCASIA: Jurnal Pendidikan, Pengajaran, dan Pembelajaran, 10(2), 217–227. https://doi.org/10.21462/educasia.v10i2.345
Gasaymeh, A., & AlMohtadi, R. (2024). College of education students’ perceptions of their computational thinking proficiency. Frontiers in Education, 9. https://doi.org/10.3389/feduc.2024.1478666
Gustilo, L., Ong, E., & Lapinid, M. R. (2024). Algorithmically-driven writing and academic integrity: Exploring educators’ practices, perceptions, and policies in AI era. International Journal for Educational Integrity, 20(1), 3. https://doi.org/10.1007/s40979-024-00153-8
Hira Pervaiz, Kiran Ali, Sania Razzaq, & Maryam Tariq. (2025). The Impact of Ai on critical thinking and writing skills in higher education. The Critical Review of Social Sciences Studies, 3(1), 3165–3176. https://doi.org/10.59075/79fkvy72
Kanık, M. (2025). Collaboration, Digital Tools, and AI in Academic Writing: Student Experiences, Challenges, and Perspectives. Dil Eğitimi ve Araştırmaları Dergisi, 11(2), 1038–1059. https://doi.org/10.31464/jlere.1729531
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, 102274. https://doi.org/10.1016/j.lindif.2023.102274
Kim, J., Lee, S.-S., Detrick, R., Wang, J., & Li, N. (2025). Students-Generative AI interaction patterns and its impact on academic writing. Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-025-09444-6
Losi, R. V., Putra, E. P., Ali, N., & Dewi, A. S. (2024). Using Artificial Intelligence (AI) to improve EFL students’ writing skill. International Journal of English and Applied Linguistics (IJEAL), 4(1), 62–70. https://doi.org/10.47709/ijeal.v4i1.3694
Lund, B., Mannuru, N. R., Teel, Z. A., Lee, T. H., Ortega, N. J., Simmons, S., & Ward, E. (2025). Student perceptions of AI-Assisted Writing and academic integrity: Ethical concerns, academic misconduct, and Use of Generative AI in higher education. AI in Education, 1(1), 2. https://doi.org/10.3390/aieduc1010002
Mahapatra, S. (2024). Impact of ChatGPT on ESL students’ academic writing skills: A mixed methods intervention study. Smart Learning Environments, 11(1), 9. https://doi.org/10.1186/s40561-024-00295-9
Malik, A. R., Pratiwi, Y., Andajani, K., Numertayasa, I. W., Suharti, S., Darwis, A., & Marzuki. (2023). Exploring Artificial Intelligence in Academic Essay: Higher education student’s perspective. International Journal of Educational Research Open, 5, 100296. https://doi.org/10.1016/j.ijedro.2023.100296
Nguyen, A., Hong, Y., Dang, B., & Huang, X. (2024). Human-AI collaboration patterns in AI-assisted academic writing. Studies in Higher Education, 49(5), 847–864. https://doi.org/10.1080/03075079.2024.2323593
Ninghardjanti, P., Subarno, A., Winar, & Umam, M. C. (2025). Evaluating AI adoption among university students in Indonesia: A case study at the Department of Office Administration Education at the Universitas Sebelas Maret. Research and Practice in Technology Enhanced Learning, 21, 014. https://doi.org/10.58459/rptel.2026.21014
Ningsih, F. W., & Dangin, D. (2026). Exploring how students utilize and perceive artificial intelligence in academic writing: A qualitative study. Journal of English Language and Education, 11(1), 1162–1168. https://doi.org/10.31004/jele.v11i1.2172
Octaberlina, L. R., Muslimin, A. I., Chamidah, D., Surur, M., & Mustikawan, A. (2024). Exploring the impact of AI threats on originality and critical thinking in academic writing. Edelweiss Applied Science and Technology, 8(6), 8805–8814. https://doi.org/10.55214/25768484.v8i6.3878
Perkins, M. (2023). Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice, 20(2). https://doi.org/10.53761/1.20.02.07
Pratama, H. (2025). Training students to identify and correct fabricated references in ChatGPT-generated literature reviews. Conference on English Language Teaching, 25–36. https://doi.org/10.24090/celti.2025.1335
Rofikah, U., Arafah, B., Nasmilah, & Harewaty. (2025). Indonesian students’ perception of AI-Assisted EFL academic writing. 410–419. https://doi.org/10.2991/978-2-38476-394-8_46
Santiago, C. S., Embang, S. I., Acanto, R. B., Ambojia, K. W. P., Aperocho, M. D. B., Balilo, B. B., Cahapin, E. L., Conlu, M. T. N., Lausa, S. M., Laput, E. Y., Malabag, B. A., Paderes, J. J., & Romasanta, J. K. N. (2023). Utilization of writing assistance tools in research in selected higher learning institutions in the Philippines: A Text Mining Analysis. International Journal of Learning, Teaching and Educational Research, 22(11), 259–284. https://doi.org/10.26803/ijlter.22.11.14
Sustaningrum, R., & Haldaka, M. (2025). Student utilization and perceptions of AI technology for academic purposes: A mixed-method analysis. Cogent Education, 12(1), 2553835. https://doi.org/10.1080/2331186X.2025.2553835
Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. https://doi.org/10.1186/s40561-023-00237-x
Wang, C. (2025). 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
Wang, D., Bian, C., & Chen, G. (2024). Using explainable AI to unravel classroom dialogue analysis: Effects of explanations on teachers’ trust, technology acceptance and cognitive load. British Journal of Educational Technology, 55(6), 2530–2556. https://doi.org/10.1111/bjet.13466
Zhai, C., Wibowo, S., & Li, L. D. (2024a). Over-reliance on AI and cognitive abilities. Smart Learning Environments, 11, 28. https://doi.org/10.1186/s40561-024-00316-7
Zhai, C., Wibowo, S., & Li, L. D. (2024b). The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: A systematic review. Smart Learning Environments, 11(1), 28. https://doi.org/10.1186/s40561-024-00316-7
DOI: https://doi.org/10.21107/metalingua.v11i1.34397
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