Upholding Integrity in Academic Practices: Perspectives from UiTM Academicians
Authors
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Academy of Language Studies, Universiti Teknologi MARA Cawangan Johor (Malaysia)
Article Information
DOI: 10.47772/IJRISS.2025.924ILEIID0013
Subject Category: Education
Volume/Issue: 9/24 | Page No: 110-113
Publication Timeline
Submitted: 2025-09-23
Accepted: 2025-09-30
Published: 2025-10-29
Abstract
In this study, the perspectives of UiTM academics are explored to highlight honesty in their intellectual behaviour. The literature review highlights ongoing issues that continue to evolve, particularly with the rise of technologies like Artificial Intelligence (AI). Several key elements are encompassed within integrity, namely honesty, openness, responsibility, and ethical awareness. Through institutional policies, proactive movements were discovered which include integrity as the main component. However, the underlying cases of academic dishonesty and abuse or misuse of technology tools continues to threaten the integrity of scholarly projects. Research indicates that academic integrity is governed by institutional rules, cultural values, and teachers’ role modelling. Moreover, it paves the way for culturally specific models in Islam to develop and improve the quality of moral behaviour among students in Malaysian universities. Additionally, the study has greater implications for the ongoing development of the policies, ethics awareness, and adaptation to new academic challenges that would enable UiTM to implement its plagiarism laws simultaneously secure its academic reputation and rankings.
Keywords
Integrity, academic integrity, Artificial Intelligence
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References
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