Exploring the Use of Artificial Intelligence in Journal Article Writing Among Postgraduate Students at Universiti Kebangsaan Malaysia (UKM)
Authors
Universiti Kebangsaan Malaysia (Malaysia)
Universiti Kebangsaan Malaysia (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2026.10100286
Subject Category: Education
Volume/Issue: 10/1 | Page No: 3645-3658
Publication Timeline
Submitted: 2026-01-14
Accepted: 2026-01-19
Published: 2026-02-03
Abstract
This study examined postgraduate students’ adoption of Artificial Intelligence (AI) tools in academic writing at Universiti Kebangsaan Malaysia (UKM). The results indicated a moderate to high level of familiarity and daily engagement with AI, influenced by deadlines, peer interactions, and institutional training. Various tools were utilized, including ChatGPT, Copilot, Grammarly, QuillBot, and Mendeley. Students frequently recognized drafting and editing as the most beneficial phases, during which AI improved clarity, organization, vocabulary, and confidence. The benefits included increased efficiency, scaffolding support, and lower stress levels, while the challenges included fabricated references, inaccurate summaries, the risk of plagiarism, and a potential loss of academic voice. Guided by the Technology Acceptance Model (TAM), this conceptual paper reviewed literature on students’ acceptance of AI-assisted academic writing tools and conducted a qualitative study with six postgraduate students from Universiti Kebangsaan Malaysia (UKM). The importance of maintaining an ethical and pedagogical balance was highlighted, with AI positioned as a supportive tool that necessitates supervisory oversight and validation against peer-reviewed materials. AI literacy evolved gradually, transitioning from initial scepticism to a greater appreciation, shaped by peer influence, institutional exposure, and practical requirements. In summary, students viewed AI as a collaborative partner that enhanced productivity but required careful scrutiny to maintain originality and academic integrity. This highlights the necessity for well-defined institutional policies that direct the responsible use of AI in postgraduate research settings. Effective supervisory oversight and validation against peer-reviewed sources are crucial to maintain authenticity and avert misuse. Fostering critical digital literacy among students will guarantee that AI serves as a supportive ally, enhancing academic rigor while upholding originality and ethical principles.
Keywords
Artificial Intelligence, Journal Writing, Technology Acceptance Model, Postgraduate Students
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References
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