Navigating Ai-Assisted Academic Writing: Malaysian University Students’ Perceptions of Use, Learning, Academic Integrity and Institutional Guidance

Authors

  • Alia Nabella Fateha Zolkifli School of Humanities, Universiti Sains Malaysia, 11700 Gelugor, Penang, Malaysia
  • Sharina Saad Academy of Language Studies, Universiti Teknologi MARA, Kedah Branch, 08400 Merbok, Kedah, Malaysia

DOI:

https://doi.org/10.24191/idealogy.v11i2.979

Abstract

Artificial intelligence (AI) tools are increasingly embedded in university writing and learning, yet frequent use does not necessarily indicate uncritical acceptance or measurable learning gains. This study examines how 41 students at a Malaysian higher education institution perceive AI use in academic writing and learning, focusing on use frequency, self-reported reliance, perceived usefulness, perceived influence on critical thinking, academic integrity, and institutional guidance. A convergent mixed-methods questionnaire design combined closed-ended items with open-ended responses. Quantitative data were analysed descriptively using frequencies and percentages, while open-ended responses were analysed thematically and integrated with the quantitative patterns during interpretation. Most respondents reported regular AI use (65.9%) and positive attitudes toward AI (75.6%), while 87.8% perceived AI as improving the quality of their academic work. Although 80.5% perceived AI as supporting critical thinking, qualitative responses also described a trade-off between efficiency and depth of learning. Academic-integrity concerns were substantial, with 63.4% reporting that they were very concerned, while 75.6% supported clearer institutional guidelines. The integrated findings indicate a use-with-awareness pattern: students value AI as a support for writing and idea generation while recognising risks of superficial engagement, authorship ambiguity, and over-reliance. The study does not establish actual effects on critical thinking or academic-integrity behaviour. It highlights the need for explicit AI literacy, transparent assessment expectations, and institutional guidance that distinguishes legitimate assistance from substitution of students’ intellectual work. 

 

Keywords: Artificial Intelligence, Academic Writing, Higher Education, Student Perceptions, Academic Integrity

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Published

2026-09-01