Teaching in the Age of AI: Lecturer Perceptions of AI-Assisted Student Writing in a Private University in Perak, Malaysia
Authors
Amanpreet Kaur Gurdarshan Singh
Faculty of Social Sciences, Quest International University (Malaysia)
Faculty of Social Sciences, Quest International University (Malaysia)
Faculty of Social Sciences, Quest International University (Malaysia)
Pavinder Kaur Girn Baldev Singh
Faculty of Social Sciences, Quest International University (Malaysia)
Faculty of Social Sciences, Quest International University (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2025.91200031
Subject Category: Education
Volume/Issue: 9/12 | Page No: 348-352
Publication Timeline
Submitted: 2025-11-27
Accepted: 2025-12-05
Published: 2025-12-31
Abstract
The rapid integration of artificial intelligence (AI) writing tools in higher education has generated growing debate about their influence on student learning, writing development, and academic integrity. This study explores lecturers’ perceptions of AI-assisted student writing at a private university in Perak, Malaysia. Semi-structured interviews were conducted with five lecturers to examine how AI tools such as ChatGPT are shaping students’ writing practices, the extent to which students rely on these technologies, and the challenges and opportunities they pose. Findings indicate that AI tools have improved students’ grammar, organization, and vocabulary, especially among those who previously struggled with language proficiency or structuring ideas. However, lecturers also observe increasing dependency on AI-generated content, insufficient understanding of the submitted work, and inconsistent citation practices. These concerns highlight broader questions about authentic learning, ethical use, and the future of academic writing instruction. The study offers insights into how universities can balance AI’s benefits with the need to maintain academic integrity and foster independent thinking, and proposes ways to integrate AI responsibly into the learning environment.
Keywords
Teaching , Age ,AI, Perceptions, AI-Assisted ,Student
Downloads
References
1. Aljuaid, H. (2024). The impact of artificial intelligence tools on academic writing instruction in higher education: A systematic review. Arab World English Journal (AWEJ) Special Issue on ChatGPT, April 2024. Available at SSRN: https://ssrn.com/abstract=4814342 [Google Scholar] [Crossref]
2. Benarab, I. H. (2024). Detection of AI-generated writing in students’ assignments: A comparative analysis of some tools’ reliability. Atras Journal, 5(Special Issue), 271–286. [Google Scholar] [Crossref]
3. Elkhatat, A. M., Elsaid, K., & Almeer, S. (2023). Evaluating the efficacy of AI content detection tools in differentiating between human and AI-generated text. International Journal for Educational Integrity, 19(1), 1–16. https://doi.org/10.1007/s40979-023-00140-5 [Google Scholar] [Crossref]
4. Grimes, M., Von Krogh, G., Feuerriegel, S., Rink, F., & Gruber, M. (2023). From scarcity to abundance: Scholars and scholarship in an age of generative artificial intelligence. Academy of Management Journal, 66(6), 1617–1624. [Google Scholar] [Crossref]
5. Ishak, Maziahtusima & Oderinde, Idayat & Ahmad, Sakinah. (2025). The Role of Metacognitive Strategies in Enhancing Learning Outcomes and Educational Efficiency: A Systematic Review of Quantitative, Qualitative and Mixed-Method Studies. International Journal of Academic Research in Business and Social Sciences. 15. 10.6007/IJARBSS/v15-i4/24964. [Google Scholar] [Crossref]
6. Perkins, M. (2023). Academic integrity considerations of AI large language models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching & Learning Practice, 20(2), 3–16. https://doi.org/10.53761/1.20.02.07 [Google Scholar] [Crossref]
7. Schillings, M., Roebertsen, H., Savelberg, H., & Dolmans, D. (2023). A review of educational dialogue strategies to improve academic writing skills. Active Learning in Higher Education, 24(2), 95–108. https://doi.org/10.1177/1469787418810663 [Google Scholar] [Crossref]
8. Teng, M. F., & Wang, C. (2023). Assessing academic writing self-efficacy belief and writing performance in a foreign language context. Foreign Language Annals, 56(1), 144–169. https://doi.org/10.1111/flan.12638 [Google Scholar] [Crossref]
9. Teng, M. F., Qin, C., & Wang, C. (2022). Validation of metacognitive academic writing strategies and the predictive effects on academic writing performance in a foreign language context. Metacognition and Learning, 17(1), 167–190. [Google Scholar] [Crossref]
10. Warner, A. (2023). The false promise of generative AI detectors. Multilingual. Available at https://multilingual.com/the-false-promise-of-generative-ai-detectors/ [Google Scholar] [Crossref]
11. Zhao, X., Sbaffi, L., & Cox, A. (2023). The digitization of writing in higher education: Exploring the use of Wordtune as an AI writing assistant. https://doi.org/10.31219/osf.io/uzwy7 [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Assessment of the Role of Artificial Intelligence in Repositioning TVET for Economic Development in Nigeria
- Teachers’ Use of Assure Model Instructional Design on Learners’ Problem Solving Efficacy in Secondary Schools in Bungoma County, Kenya
- “E-Booksan Ang Kaalaman”: Development, Validation, and Utilization of Electronic Book in Academic Performance of Grade 9 Students in Social Studies
- Analyzing EFL University Students’ Academic Speaking Skills Through Self-Recorded Video Presentation
- Major Findings of The Study on Total Quality Management in Teachers’ Education Institutions (TEIs) In Assam – An Evaluative Study