The Transformation of Written Communication through Artificial Intelligence: A Systematic Review and Analysis

Rini Susiani, Rahmi Fhonna, Barep Sarinauli, Ferlya Elyza

Abstract


The integration of artificial intelligence (AI) in language education has significantly influenced academic writing practices. Despite the growing adoption of AI tools, a comprehensive synthesis of their roles, benefits, and challenges in academic writing remains limited. This study conducted a systematic review following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses – Scoping Review) framework. Articles published between 2019 and 2024 were sourced from ERIC and Google Scholar databases, focusing on the use of AI technologies in academic writing. A total of 28 eligible studies were reviewed and analyzed. The findings highlight three dominant AI tools: QuillBot (30%), Grammarly (25%), and ChatGPT (15%), each contributing across domains such as language enhancement, content generation, and translation. These tools are widely used to improve grammar, paraphrasing, writing structure, and provide immediate, adaptive feedback. The implementation spans various stages of the writing process, from prewriting to revision. While AI tools offer significant educational benefits—including improved writing quality, personalized learning, and efficiency—they also present challenges. These include over-reliance, reduced critical thinking, concerns about academic integrity, and data privacy risks. The review emphasizes the importance of pedagogically grounded AI integration to maintain student autonomy and uphold academic ethics. This review offers a practical framework for integrating AI in academic writing instruction, balancing technological affordances with essential educational values. It provides actionable insights for educators to support ethical and effective AI use in writing pedagogy.

Keywords


artificial intelligence; academic writing; systematic review; digital tools; writing instruction

References


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

Ayan, A. (2023). Efl teachers perceptions of automated written corrective feedback and grammarly. Ahmet Keleşoğlu Eğitim Fakültesi Dergisi. https://doi.org/10.38151/akef.2023.106

Baskara, F. X. R. (2023). Integrating ChatGPT into EFL writing instruction: Benefits and challenges. International Journal of Education and Learning, 5(1), 44-55.

Baskara, R. (2023). Personalised learning with ai: implications for ignatian pedagogy. International Journal of Educational Best Practices, 7(1), 1. https://doi.org/10.31258/ijebp.v7n1.p1-16

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).

Camacho, A., & Alves, R. A. (2017). Fostering parental involvement in writing: Development and testing of the program cultivating writing. Reading and Writing, 30(2), 253-277. https://doi.org/10.1007/s11145-016-

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefts, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(43), 1-18.

Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: a review. Ieee Access, 8, 75264-75278. https://doi.org/10.1109/access.2020.2988510

Ciampa, K. and Wolfe, Z. (2019). Preparing for dissertation writing: doctoral education students’ perceptions. Studies in Graduate and Postdoctoral Education, 10(2), 86-108. https://doi.org/10.1108/sgpe-03-2019-0039

Dergaa, I., Chamari, K., Zmijewski, P., & Saad, H. B. (2023). From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615–622.

De Smedt, F., van Keer, H., & Merchie, E. (2016). Student, teacher, and class-level correlates of Flemish late elementary school children’s writing performance. Reading & Writing, 29, 833-868.

https://doi.org/10.1007/s11145-015-9590-z

Dewi, U. (2023). Grammarly as automated writing evaluation: its effectiveness from efl students’ perceptions. Lingua Cultura, 16(2), 155-161. https://doi.org/10.21512/lc.v16i2.8315

Dizon, G. & Gayed, J. (2021). Examining the impact of grammarly on the quality of mobile l2 writing. The Jalt Call Journal, 17(2), 74-92. https://doi.org/10.29140/jaltcall.v17n2.336

Donlon, E. (2023). Chatbots and citations: an experiment in academic writing with generative ai. Irish Journal of Technology Enhanced Learning, 7(2), 75-87. https://doi.org/10.22554/ijtel.v7i2.125

Elmunsyah, H., Suswanto, H., Asfani, K., & Hidayat, W. (2018). The effectiveness of plagiarism checker implementation in scientific writing for vocational high school. In Proceedings of the International Conference on Indonesian Technical Vocational Education and Association (pp. 192-196). Atlantis Press. https://doi.org/10.2991/aptekindo-18.2018.42

Fang, Z. (2021). Demystifying academic writing: Genres, moves, skills, and strategies. Routledge. https://doi.org/10.4324/9781003131618

Fahmi, M. & Cahyono, B. (2021). Efl students’ perception on the use of grammarly and teacher feedback. Jees (Journal of English Educators Society), 6(1), 18-25. https://doi.org/10.21070/jees.v6i1.849

Fitria, T. (2021). Grammarly as ai-powered english writing assistant: students’ alternative for writing english. Metathesis Journal of English Language Literature and Teaching, 5(1), 65. https://doi.org/10.31002/metathesis.v5i1.3519

Graham, S. (2019). Changing how writing is taught. Review of Research in Education, 43, 277-303. https://doi.org/10.3102/0091732x18821125

Halim, A., Sharina, S., & Zur, S. (2022). Grammarly as a tool to enhance students' self-directed learning. Kne Social Sciences, 5-13. https://doi.org/10.18502/kss.v7i8.10719

Hancock, J., Нааман, М., & Levy, K. (2020). Ai-mediated communication: definition, research agenda, and ethical considerations. Journal of Computer-Mediated Communication, 25(1), 89-100. https://doi.org/10.1093/jcmc/zmz022

Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S., … & Koedinger, K. (2021). Ethics of ai in education: towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(3), 504-526. https://doi.org/10.1007/s40593-021-00239-1

Jaladara, A. (2023). Quillbot web-application: utilizing online technology on academic writing at an indonesian islamic higher education. Celebes Journal of Language Studies, 275-284. https://doi.org/10.51629/cjls.v3i2.152

Jelita, K., & Masyhur, M. (2023). The effectiveness of using grammarly on high school students' writing quality. International Journal of Educational Best Practices, 7(1), 43. https://doi.org/10.31258/ijebp.v7n1.p43-55

Kazim, E., & Koshiyama, A. (2021). A high-level overview of ai ethics. Patterns, 2(9), 100314. https://doi.org/10.1016/j.patter.2021.100314

Kim, J., Lee, H., & Cho, Y. (2022). Learning design to support student-ai collaboration: perspectives of leading teachers for ai in education. Education and Information Technologies, 27(5), 6069-6104. https://doi.org/10.1007/s10639-021-10831-6

Kurniati, E., & Fithriani, R. (2022). Post-graduate students’ perceptions of quillbot utilization in english academic writing class. Journal of English Language Teaching and Linguistics, 7(3), 437. https://doi.org/10.21462/jeltl.v7i3.852

Latifah, S., Muth’im, A., & Nasrullah, N. (2024). The use of quillbot in academic writing. Journey (Journal of English Language and Pedagogy), 7(1), 110-121. https://doi.org/10.33503/journey.v7i1.4047

Lodge, J., Thompson, K., & Corrin, L. (2023). Mapping out a research agenda for generative artificial intelligence in tertiary education. Australasian Journal of Educational Technology, 39(1), 1-8. https://doi.org/10.14742/ajet.8695

Madison, E., Anderson, R. C., & Bousselot, T. (2019). Self-determined to write: Catalyzing critical thinking, collaboration, and self-direction in middle school. Reading and Writing Quarterly, 35(5), 473-495. https://doi.org/10.1080/10573569.2019.1579127

Matthews, J. (2023). Academics' perceptions of chatgpt-generated written outputs: a practical application of turing’s imitation game. Australasian Journal of Educational Technology, 39(5), 82-100. https://doi.org/10.14742/ajet.8896

Miranty, D., & Widiati, U. (2021). An automated writing evaluation (awe) in higher education. pegegog, 11(4). https://doi.org/10.47750/pegegog.11.04.12

Mohammad, T. (2023). Examining efl students' motivation level in using quillbot to improve paraphrasing skills. World Journal of English Language, 14(1), 501. https://doi.org/10.5430/wjel.v14n1p501

McNamara, D. S., Crossley, S. A., & Roscoe, R. (2013) Natural language processing in an intelligent writing strategy tutoring system. Behav Res, 45,499–515.

Myers, J., Scales, R., Grisham, D., Wolsey, T., Dismuke, S., Smetana, L., & Yoder, K. K. (2016). What about writing? A national study of writing instruction in teacher preparation programs. Literacy, Research, and Instruction, 55(4), 309-330. https://doi.org/10.1080/19388071.2016.1198442

Nazari, N., Shabbir, M., & Setiawan, R. (2021). Application of artificial intelligence powered digital writing assistant in higher education: randomized controlled trial. Heliyon, 7(5), e07014. https://doi.org/10.1016/j.heliyon.2021.e07014

Pech-Rodríguez, W. (2023). Assessing the current performance of chatgpt and the implications in the academic and scientific community: failures, misuse, and challenges.. https://doi.org/10.20944/preprints202308.1188.v1

Popenici, S A. D., & Kerr, S. (2017). Exploring The Impact of Artificial Intelligence on eaching and Learning in Higher Education. Research and Practice in Technology Enhanced Learning, 12(22), 1-3. https://doi.org/10.1186/s41039-017-0062-8.

Talaue, F. (2023). Dissonance in generative ai use among student writers: how should curriculum managers respond?. E3s Web of Conferences, 426, 01058. https://doi.org/10.1051/e3sconf/202342601058

Tang, A. (2023). The importance of transparency: declaring the use of generative artificial intelligence (ai) in academic writing. Journal of Nursing Scholarship, 56(2), 314-318. https://doi.org/10.1111/jnu.12938

Thi, N., & Nikolov, M. (2021). How teacher and grammarly feedback complement one another in myanmar efl students’ writing. The Asia-Pacific Education Researcher, 31(6), 767-779. https://doi.org/10.1007/s40299-021-00625-2

Ummah, L., & Bisriyah, M. (2022). Efl students’ perception of grammarly’s feedback and how they deal with the inaccuracy. Jees (Journal of English Educators Society), 7(2). https://doi.org/10.21070/jees.v7i2.1687

Utami, S., Andayani, A., Winarni, R., & Sumarwati, S. (2023). Utilization of artificial intelligence technology in an academic writing class: how do indonesian students perceive?. Contemporary Educational Technology, 15(4), ep450. https://doi.org/10.30935/cedtech/13419

Zhao, X. (2022). Leveraging artificial intelligence (ai) technology for english writing: introducing wordtune as a digital writing assistant for efl writers. Relc Journal, 54(3), 890-894. https://doi.org/10.1177/00336882221094089




DOI: https://doi.org/10.35445/alishlah.v17i3.6421

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