Sinergi AI dalam Literasi Akademik: Eksplorasi Grammarly dan ChatGPT dalam Penguatan Struktur dan Gaya Bahasa Teks Persuasif Mahasiswa

Nurhusna Nurhusna , Shafariana Shafariana , Rizki Herdiani
This study aims to analyze the effectiveness of the synergy between Grammarly and ChatGPT in improving students’ persuasive writing skills, particularly in terms of argumentative structure and stylistic expression. The research is grounded in the current challenge of academic literacy in the era of artificial intelligence (AI), which requires students not only to write with linguistic accuracy but also to convey ideas persuasively and coherently. A mixed-method approach was employed through a quasi-experimental design combined with a perception survey. The participants consisted of 56 students from a language education program who engaged in AI-assisted writing instruction. Quantitative data were obtained from pretest and posttest writing assessments, while qualitative data were collected through open-ended questionnaires and reflective interviews. Data analysis involved paired-sample t-tests and thematic analysis. The findings revealed a significant improvement in students’ writing performance after utilizing Grammarly and ChatGPT. The average score for structural organization increased from 71.0 to 81.7, while the stylistic aspect improved from 69.3 to 81.9. Students reported that Grammarly helped them identify and correct linguistic errors and enhance their language awareness, whereas ChatGPT supported idea generation, argument development, and rhetorical variation. The synergy between these tools fostered a more reflective and self-regulated writing process, consistent with the theoretical frameworks of AI-mediated learning and social constructivism. Theoretically, this research reinforces the concepts of formative feedback and Cognitive Apprenticeship in academic writing instruction. Pedagogically, the findings indicate that integrating AI technology can serve as an innovative strategy for teaching writing, provided that it is accompanied by ethical guidance and reflective supervision from instructors. Thus, the synergy between Grammarly and ChatGPT not only enhances students’ writing quality but also transforms the way they learn to write critically, creatively, and responsibly in the digital literacy era.

Abdelhalim, S. M. (2024). From traditional writing to digital multimodal composing: promoting high school EFL students’ writing self-regulation and self-efficacy. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2024.2322148;WEBSITE:WEBSITE:TFOPB;PAGEGROUP:STRING:PUBLICATION

Anshari, & Nurhusna. (2024). Tingkat Kemahiran Pelaku Usaha Mikro Kecil Menengah Menulis Teks Persuasi dalam Meningkatkan Omzet Penjualan di Media Sosial. Seminar Nasional LP2M UNM, 0(0), 4–48. https://doi.org/10.1177/016146812012200602

Arsyad, S. (1999). The Indonesian and english argument structure: A cross-cultural rhetoric of argumentative texts. Australian Review of Applied Linguistics, 22(2), 85–102. https://doi.org/10.1075/ARAL.22.2.06ARS

Asyifa, P. A., & Daulay, E. (2024). The Influence of Grammarly Application to Improve Students’ Writing Skills in Recount Text. Allure Journal, 4(2), 97–105. https://doi.org/10.26877/ALLURE.V4I2.19272

Bai, B., Wang, J., & Zhou, H. (2022). An intervention study to improve primary school students’ self-regulated strategy use in English writing through e-learning in Hong Kong. Computer Assisted Language Learning, 35(9), 2265–2290. https://doi.org/10.1080/09588221.2020.1871030;PAGE:STRING:ARTICLE/CHAPTER

Borjigin, A., & Shen, Z. (2025). AI-Powered Meta-Reflection for Self-Learning in STEM: A Middle School Case Study on Smart Home Energy Management. 2025 IEEE Region 10 Symposium: Innovations in Technology: Shaping the Future, TENSYMP 2025. https://doi.org/10.1109/TENSYMP63728.2025.11144984

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), 100704. https://doi.org/10.1016/J.IJME.2022.100704

Chen, S. Y., Chen, W. C., & Lai, C. F. (2025). Generative AI as a reflective scaffold in a UAV-based STEM project: A mixed-methods study on students’ higher-order thinking and cognitive transformation. Education and Information Technologies 2025, 1–28. https://doi.org/10.1007/S10639-025-13758-4

Collins, A., Brown, J. S., & Newman, S. E. (2018). Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics. In Knowing, Learning, and Instruction: Essays in Honor of Robert Glaser. https://doi.org/10.4324/9781315044408-14

Djumingin, S. (n.d.). LP2M-Universitas Negeri Makassar Pengembangan Media Pembelajaran Literasi Ratulisa (Rajin Membaca dan Menulis) Berbasis Kewirausahaan Bagi Mahasiswa.

Djumingin, S., & Nurhusna, N. (2024). Pengembangan Media Pembelajaran Menulis Teks Persuasi Melalui Media Sosial. Seminar Nasional LP2M UNM, 0(0). http://ojs.unm.ac.id/semnaslemlit/article/view/67171

Elvis, M., Martina, B., & Mariagrazia, B. (n.d.). REFRAMING AI IN EDUCATION: A VYGOSTSKIAN PERSPECTIVE ON PROXIMAL DEVELOPMENT. https://doi.org/10.56734/ijahss.v6nSa2

Fotheringham, L. S. (2017). Persuasive Language in Cicero’s Pro Milone: A close reading and commentary (Vol. 4). University of London Press. https://doi.org/10.14296/917.9781905670697

Ghufron, M. A. (2019). Exploring an Automated Feedback Program ‘Grammarly’ and Teacher Corrective Feedback in EFL Writing Assessment: Modern vs. Traditional Assessment. https://doi.org/10.4108/EAI.27-4-2019.2285308

Gyekye, E. K. (2025). ChatGPT as a Metacognitive Catalyst in Personalized Learning Ecosystems. https://doi.org/10.21203/RS.3.RS-7339599/V1

Habibi, A., Wachyunni, S., & Husni, N. (2017). Students’ Perception on Writing Problems: A Survey at One Islamic University in Jambi. Ta’dib: Jurnal Pendidikan Islam, 22(1), 96–108. https://doi.org/10.19109/TD.V22I1.1623

Han, Y., Zhao, S., & Ng, L. L. (2021). How Technology Tools Impact Writing Performance, Lexical Complexity, and Perceived Self-Regulated Learning Strategies in EFL Academic Writing: A Comparative Study. Frontiers in Psychology, 12, 752793. https://doi.org/10.3389/FPSYG.2021.752793/BIBTEX

Harris, R. A., & Fahnestock, J. (2022). RHETORIC, LINGUISTICS, AND THE STUDY OF PERSUASION: An Overview and an Introduction. The Routledge Handbook of Language and Persuasion, 1–24. https://doi.org/10.4324/9780367823658-1/RHETORIC-LINGUISTICS-STUDY-PERSUASION-RANDY-ALLEN-HARRIS-JEANNE-FAHNESTOCK

Herda, R. K., Travero, A. S., Kafabih, A., Koeswoyo, A. W., Sari, R. N., Hakiki, F. I., & Wahidah, N. (2024). Opportunities Of Using Chatgpt In Academic Writing: Perceptions Of The Philippines And Indonesian Students. Jurnal Wahana Pendidikan, 11(2), 205–214. https://doi.org/10.25157/JWP.V11I2.14922

How Grammarly’s Product Works | Grammarly. (n.d.). Retrieved October 31, 2025, from https://www.grammarly.com/how-grammarly-works

Huang, H. W., Li, Z., & Taylor, L. (2020). The Effectiveness of Using Grammarly to Improve Students’ Writing Skills. ACM International Conference Proceeding Series, 122–127. https://doi.org/10.1145/3402569.3402594;SUBPAGE:STRING:ABSTRACT;CSUBTYPE:STRING:CONFERENCE

Inan-Karagul, B., & Seker, M. (2021). Improving Language Learners’ Use of Self-Regulated Writing Strategies Through Screencast Feedback. SAGE Open, 11(4). https://doi.org/10.1177/21582440211064895;WGROUP:STRING:PUBLICATION

Jomaa, N., & Jibroo, H. (2024). Corrective Feedback of Grammarly in Enhancing L2 Writing by EFL Kurdish Students. Bulletin of Advanced English Studies, 91(244), 1–15. https://doi.org/10.31559/BAES2024.9.1.1

Kızıltaş, Y. (2025). Integration of Artificial Intelligence (AI) into Primary School Students’ Writing Skills: The Impact of ChatGPT on Creative Writing and Writing Self-Efficacy. Journal of Educational Computing Research. https://doi.org/10.1177/07356331251365187

Li, X., Li, T., Yan, L., Li, Y., Zhao, L., Raković, M., Molenaar, I., Gašević, D., & Fan, Y. (2025). FLoRA: An Advanced AI-Powered Engine to Facilitate Hybrid Human-AI Regulated Learning. https://arxiv.org/pdf/2507.07362

Maxwell-Smith, Z., & Foley, B. (2023). Automated speech recognition of Indonesian-English language lessons on YouTube using transfer learning. FieldMatters 2023 - 2nd Workshop on NLP Applications to Field Linguistics, Proceedings, 1–16. https://doi.org/10.18653/V1/2023.FIELDMATTERS-1.1

Muhaimin, R., Elirwati, E., & Masyhur, M. (2018). A STUDY ON THE ABILITY OF THE FOURTH SEMESTER STUDENTS OF ENGLISH STUDY PROGRAM OF FKIP-UR IN WRITING AN EXPOSITORY ESSAY. Jurnal Online Mahasiswa (JOM) Bidang Keguruan Dan Ilmu Pendidikan, 5(1), 1–15. https://jom.unri.ac.id/index.php/JOMFKIP/article/view/18167

Nasution, K. Y., Sihite, R. A., & Hartati, R. (2024). Exploring the Role and Benefits of ChatGPT AI in Enhancing Students’ Fiction Writing Literacy: Insights from Learner Experiences. Fonologi: Jurnal Ilmuan Bahasa Dan Sastra Inggris, 2(4), 141–153. https://doi.org/10.61132/FONOLOGI.V2I4.1219

Patty, J. (2022). Understanding the Role of Automated Writing Tools: A Library Research on Grammarly in Academic Writing. Huele: Journal of Applied Linguistics, Literature and Culture, 2(1), 25–41. https://doi.org/10.30598/HUELE.V2.I1.P25-41

Prasetya, R. E., & Raharjo, D. H. (2023). Enhancing English Language Writing Skills: An Evaluation of the Efficacy of Grammarly Application. Journal of English Language Studies, 8(2), 320–338. https://doi.org/10.30870/JELS.V8I2.19294

Safnil. (2000). Rhetorical Structure Analysis of the Indonesian Research Articles. https://doi.org/10.25911/5D7A2B800154D

Schaeffer, K. (2021, December 17). Striking findings from 2021 | Pew Research Center. https://www.pewresearch.org/short-reads/2021/12/17/striking-findings-from-2021/

Seow, A. (2002). The Writing Process and Process Writing. Methodology in Language Teaching, 315–320. https://doi.org/10.1017/CBO9780511667190.044

Sodiq, S., & Rokib, M. (2024). Indonesian students’ use of Chat Generative Pre-trained Transformer in essay writing practices. International Journal of Evaluation and Research in Education (IJERE), 13(4), 2698–2706. https://doi.org/10.11591/IJERE.V13I4.28956

Tiandem-Adamou, Y. M., & Tiandem-Adamou, Y. M. (2024). Using Generative Artificial Intelligence to Support EFL Students’ Writing Proficiency in University in China. Https://Www.Sciltp.Com/Journals/Jeti/Articles/2509001537, 6(4). https://doi.org/10.61414/JETI.V6I4.213

Tomlinson, B. (1984). Teaching the writing process. Journal of College Reading and Learning, 17(1), 192–198. https://doi.org/10.1080/10790195.1984.10850252;PAGE:STRING:ARTICLE/CHAPTER

UNESCO. (2025, September 5). Literacy: what you need to know. UNESCO. https://www.unesco.org/en/literacy/need-know

Vygotsky, L. S. (1978). Social Constructivism - Mind in Society: The Development of Higher Psychological Processes. In Full-Text. (N.D.).

Wang, L., & Ren, B. (2024). Enhancing Academic Writing in a Linguistics Course with Generative AI: An Empirical Study in a Higher Education Institution in Hong Kong. Education Sciences 2024, Vol. 14, Page 1329, 14(12), 1329. https://doi.org/10.3390/EDUCSCI14121329

Wibawa, A. (2013). Indonesian-to-Javanese Machine Translation. International Journal of Innovation, Management and Technology. https://doi.org/10.7763/IJIMT.2013.V4.440

Wibowo, H. A., Nityasya, M. N., Akyürek, A. F., Fitriany, S., Aji, A. F., Prasojo, R. E., & Wijaya, D. T. (2021). IndoCollex: A Testbed for Morphological Transformation of Indonesian Colloquial Words. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 3170–3183. https://doi.org/10.18653/V1/2021.FINDINGS-ACL.280

Yabukoshi, T., & Mizumoto, A. (2024). Incorporating online writing resources into self-regulated learning strategy-based instruction: An intervention study. Journal of Computer Assisted Learning, 40(6), 3486–3504. https://doi.org/10.1111/JCAL.13081;JOURNAL:JOURNAL:13652729;WGROUP:STRING:PUBLICATION

Yong, Z.-X., Zhang, R., Forde, J. Z., Wang, S., Subramonian, A., Lovenia, H., Cahyawijaya, S., Winata, G. I., Sutawika, L., Christian, J., Cruz, B., Lin Tan, Y., Phan, L., Garcia, R., Solorio, T., Fikri, A., & 12, A. (2023). Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages (pp. 43–63). https://aclanthology.org/2023.calcs-1.5/

Yu, N., Zhang, J., Mitra, S., Smith, R., & Rich, A. (2025). AI-Educational Development Loop (AI-EDL): A Conceptual Framework to Bridge AI Capabilities with Classical Educational Theories. https://arxiv.org/pdf/2508.00970

Zhang, Z., Gao, J., Dhaliwal, R. S., & Li, T. J. J. (2023). VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping. UIST 2023 - Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. https://doi.org/10.1145/3586183.3606800;JOURNAL:JOURNAL:ACMCONFERENCES;PAGEGROUP:STRING:PUBLICATION

Subjek (en_US)

Grammarly, ChatGPT, academic literacy, persuasive writing, artificial intelligence

Bahasa

en

Volume

6

Edisi

2

Tanggal Terbit

2025-12-09

Tanggal Submit

2025-10-31

Tanggal Diterbitkan

2025-12-09

Tanggal Modifikasi

2025-12-09

Jurnal

Nuances of Indonesian Language

URI Jurnal

https://jurnal.ppjb-sip.org/index.php/nila

Hak Cipta

Copyright (c) 2025 Nuances of Indonesian Language

Jenis Artikel

Articles

ID (DOI)

10.51817/nila.v6i2.1614

Full Text:

PDF

Refbacks

  • There are currently no refbacks.

NUANCES OF INDONESIAN LANGUAGE is indexed by:

 

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

REDAKSI

Nuances of Indonesian Language has been covered by the following services

Published by Perkumpulan Pengelola Jurnal Bahasa dan Sastra Indonesia serta Pengajarannya.

Apartemen Suite Metro
Jalan Soekarno Hatta No. 698B, Kelurahan Jatisari - Kecamatan Buahbatu Bandung, Jawa Barat 40286

View My Stats