Investigating Students’ Views on the Role of Generative AI in Academic Writing

Utami Rosalina; Salah Abobaker Almabruk Shahat; Naufal Fidha Sulaeman

doi:10.58421/gehu.v5i2.1208

DOI:

https://doi.org/10.58421/gehu.v5i2.1208

Authors

Utami Rosalina Institut Prima Bangsa https://orcid.org/0000-0002-9145-2170
Salah Abobaker Almabruk Shahat Benghazy University https://orcid.org/0009-0007-1905-1325
Naufal Fidha Sulaeman Saxion University of Applied Sciences

Keywords:

Generative AI, Academic Writing, Writing Effiency, Student View, Academic Integrity in AI use

Abstract

The rapid integration of Generative Artificial Intelligence (GenAI) in higher education has raised pedagogical and ethical concerns regarding its role in academic writing. This study investigates students’ views on the anticipated functions, perceived benefits, and challenges of AI-assisted academic writing. A convergent parallel mixed-methods design was employed, involving 89 second-year students with prior experience using GenAI tools. Quantitative data were analyzed using descriptive statistics, and qualitative interview data were analyzed using thematic analysis. The findings indicate that most students perceive GenAI as a writing assistant (85%) and feedback provider (78%). A substantial proportion report increased writing efficiency (82%) and improved writing quality (76%) when using GenAI tools. However, concerns regarding over-dependence (45%) and potential plagiarism risks (32%) were also identified. Overall, students position GenAI as a supportive pedagogical aid that enhances drafting and revision processes while acknowledging important ethical and cognitive challenges. These findings highlight the need for structured instructional guidance and the development of AI literacy to ensure responsible and pedagogically aligned integration of GenAI in academic writing instruction.

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References

R. Butterfuss, R. D. Roscoe, L. K. Allen, K. S. McCarthy, and D. S. McNamara, “Strategy uptake in writing pal: Adaptive feedback and instruction,” J. Educ. Comput. Res., vol. 60, no. 3, pp. 696–721, 2022.

Z. N. Khlaif et al., “The potential and concerns of using AI in scientific research: ChatGPT performance evaluation,” JMIR Med. Educ., vol. 9, p. e47049, 2023.

T. Peungcharoenkun and B. Waluyo, “Writing pedagogy in higher education: The efficacy of mediating feedback with technology,” Read. Writ., vol. 15, no. 1, pp. 1–12, 2024.

L. Yan, S. Greiff, Z. Teuber, and D. Gašević, “Promises and challenges of generative artificial intelligence for human learning,” Nat. Hum. Behav., vol. 8, no. 10, pp. 1839–1850, 2024.

U. Rofikah and B. Arafah, “Indonesian Students’ Perception of AI-Assisted EFL Academic Writing,” in The 5th International Conference on Linguistics and Cultural Studies 5 (ICLC-5 2024), Atlantis Press, 2025, pp. 410–419.

Y. Yao, Y. Sun, S. Zhu, and X. Zhu, “A qualitative inquiry into metacognitive strategies of postgraduate students in employing ChatGPT for English academic writing,” Eur. J. Educ., vol. 60, no. 1, p. e12824, 2025.

D. Xerri and J. Block, “Learning to be a writing instructor in the age of generative AI: the role of research-practice partnerships,” 2024.

S. Zulfa, “Tech-Assisted Learning Media Used in Students’ English Academic Writing.” Jakarta: FITK UIN Syarif Hidayatullah Jakarta, 2023.

Z. Sajid, S. Bano, and W. Hassan, “Balancing Innovation and Cognition: Influence of Artificial Intelligence on ESL Writing Skills at the Tertiary Level,” Crit. Rev. Soc. Sci. Stud., vol. 3, no. 3, pp. 671–678, 2025.

H. A. El-Sabagh, “Adaptive e-learning environment based on learning styles and its impact on development students’ engagement,” Int. J. Educ. Technol. High. Educ., vol. 18, no. 1, p. 53, 2021.

X. H. N. Thi, H. V. H. Thien, K. N. Vuong, and T. T. Nguyen, “Enhancing writing skills through AI-powered tools: perceived benefits and challenges among Vietnamese EFL students,” Discov. Educ., vol. 4, no. 1, p. 472, 2025.

T. Chichekian and B. Benteux, “The potential of learning with (and not from) artificial intelligence in education,” Front. Artif. Intell., vol. 5, p. 903051, 2022.

F. M. R. Fauzatul and W. S. P. Putri, “Interactive Sociocultural Teaching Materials Based on CRT With Lectora As Innovation in Citizenship Education,” IJORER Int. J. Recent Educ. Res., vol. 6, no. 3, pp. 709–730, 2025.

L. Wu, “AI-based writing tools: Empowering students to achieve writing success,” Adv. Educ. Technol. Psychol., vol. 8, no. 2, pp. 40–44, 2024.

E. Eslit, “AI-Enhanced Language Learning: Bridging Cultures and Breaking Barriers,” 2024.

C. B. Hodges, S. Moore, B. B. Lockee, T. Trust, and M. A. Bond, “The Difference between Emergency Remote Teaching and Online Learning,” Handbook of Research in Online Learning. BRILL, pp. 511–522, 2024. doi: 10.1163/9789004702813_021.

M. Sadeghpour, A. Arakala, and A. Rao, “Generative AI in Collaborative Academic Report Writing: Advantages, Disadvantages, and Ethical Considerations,” arXiv Prepr. arXiv2504.08832, 2025.

I. A. Olohunfunmi and A. Z. Khairuddin, “Exploring ethical dilemmas of AI generative tools among higher education students: A systematic review,” in International conference on innovation & entrepreneurship in computing, engineering & science education (InvENT 2024), Atlantis Press, 2024, pp. 255–275.

H. Alkaissi and S. I. McFarlane, “Artificial hallucinations in ChatGPT: implications in scientific writing,” Cureus, vol. 15, no. 2, 2023.

S. Choudhuri, S. Adeniye, and A. Sen, “Distribution alignment using complement entropy objective and adaptive consensus-based label refinement for partial domain adaptation,” in Artificial intelligence and applications, 2023, pp. 43–51.

R. Gangavarapu, Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems. Springer Nature, 2025.

A. Yusuf, S. Bello, N. Pervin, and A. K. Tukur, “Implementing a proposed framework for enhancing critical thinking skills in synthesizing AI-generated texts,” Think. Ski. Creat., vol. 53, p. 101619, 2024.

J. Shi and W. Liu, “Exploring How AI Literacy and Self-Regulated Learning Relate to Student Writing Performance and Well-Being in Generative AI-Supported Higher Education,” pp. 1–17, 2025.

R. A. E. Gabay, A. A. Funa, and J. D. Ricafort, “Generative Artificial Intelligence (GenAI) for Academic Writing in Higher Education: A scoping review of applications, challenges, and implications,” 2025.

H. Guo and S. H. Zaini, “Artificial intelligence in academic writing: A literature review,” Asian Pendidik., vol. 4, no. 2, pp. 46–55, 2024.

D. Doucette and C. Singh, “Gender equity in physics labs,” Phys. Rev. Phys. Educ. Res., vol. 20, no. 1, p. 10102, 2024.

K. Kuddus, “Artificial intelligence in language learning: Practices and prospects,” Adv. Anal. Deep Learn. Model., pp. 1–17, 2022.

A. S. Elhwuegi, “From Plagiarism to AI-Generated Text, An Editor’s Struggle to Insure Originality,” Libyan International Medical University Journal. Thieme Medical and Scientific Publishers Pvt. Ltd., 2025.

E. A. Alawad, H. H. Ayadi, and A. A. Alhinai, “Guarding Integrity: A Case Study on Tackling AI-Generated Content and Plagiarism in Academic.,” Theory Pract. Lang. Stud., vol. 15, no. 6, 2025.

J. P. Takona, “Research design: qualitative, quantitative, and mixed methods approaches,” Qual. Quant., vol. 58, no. 1, pp. 1011–1013, 2024.

I. Busari, Examining High School Mathematics Teachers’ Research-Based Instructional Practices And Their Relationship To Students’ Learning Outcomes: A Convergent Parallel Mixed-Method Study. University of Kentucky, 2024.

M. C. Rendleman et al., “Representative random sampling : an empirical evaluation of a novel bin stratification method for model performance estimation,” Stat. Comput., vol. 32, no. 6, pp. 1–9, 2022, doi: 10.1007/s11222-022-10138-7.

M. B. Miles, “Qualitative data analysis: An expanded sourcebook,” Thousand Oaks, 1994.

N. K. Denzin, Strategies of qualitative inquiry, vol. 2. Sage, 2008.

D. Remenyi, G. Onofrei, and J. English, An introduction to statistics using Microsoft Excel. UJ Press, 2022.

S. Tian and H. Xiang, “Exploring EFL students’ effective use of GenAI in writing: Interplay of self-regulation, critical thinking, growth mindset, general writing competence, and GenAI literacy,” Educ. Inf. Technol., pp. 1–33, 2025.

J. Fereday, “Demonstrating Rigor Using Thematic Analysis : A Hybrid Approach of Inductive and Deductive Coding and Theme Development,” pp. 80–92, 2006.

S. Khokhar, H. Pathan, A. Raheem, and A. M. Abbasi, “Theory development in thematic analysis: Procedure and practice,” Rev. Appl. Manag. Soc. Sci., vol. 3, no. 3, pp. 423–433, 2020.

R. R. Divekar, L. Gonzalez, S. Guerra, N. Boos, and R. Divekar, “Can Generative AI Replace Search Engines for Learning ? Understanding Student Preferences , Use and Perceived Proficiency in Using AI,” TechTrends, vol. 69, no. 5, pp. 1040–1055, 2025, doi: 10.1007/s11528-025-01095-9.

D. Trinovita, E. Nurchurifiani, T. Hastomo, W. Andewi, and M. Hasbi, “Exploring the Influence of Generative AI on Self-Regulated Learning: A Mixed-Methods Study in the EFL Context,” J. Iqra’ Kaji. Ilmu Pendidik., vol. 10, no. 2, pp. 301–316, 2025.

S. B. Gupta and M. Gupta, “Technology and E-learning in higher education,” Technology, vol. 29, no. 4, pp. 1320–1325, 2020.

Z. Lin, “Techniques for supercharging academic writing with generative AI,” Nat. Biomed. Eng., vol. 9, no. 4, pp. 426–431, 2025.

I. Dergaa, K. Chamari, P. Zmijewski, and H. Ben Saad, “From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing,” Biol. Sport, vol. 40, no. 2, pp. 615–622, 2023.

M. Milad, H. S. Mahdi, and A. T. Saeed, “Evaluating the Effectiveness of AI Tools Across the Essay Writing Process: A Comparative Study of Pre-Writing, Drafting, and Post-Writing Stages,” Int. J. Comput. Lang. Learn. Teach., vol. 15, no. 1, pp. 1–20, 2025.

M. A. AlAfnan, “Technical Report Writing Efficiency Using AI-Powered Tools: Opportunities, Challenges, and Future Directions,” J. Artif. Intell. Technol., vol. 5, pp. 270–277, 2025.

R. Venegas, E. M. Castro Cano, and D. Cornejo, “Marcadores discursivos y calidad de la escritura: estudio empírico-computacional del ensayo en estudiantes universitarios,” Íkala, Rev. Leng. y Cult., vol. 29, no. 2, pp. 1–21, 2024, doi: 10.17533/udea.ikala.355065.

K. Inkpen et al., “Advancing human-AI complementarity: The impact of user expertise and algorithmic tuning on joint decision making,” ACM Trans. Comput. Interact., vol. 30, no. 5, pp. 1–29, 2023.

F. Amirjalili, M. Neysani, and A. Nikbakht, “Exploring the boundaries of authorship: A comparative analysis of AI-generated text and human academic writing in English literature,” in Frontiers in Education, Frontiers Media SA, 2024, p