The integration of artificial intelligence (AI) in higher education raises concerns about academic integrity and the quality of learning. Many students resort to AI tools for assistance in assessments due to the disruptions caused by COVID-19, which shifted traditional examination methods and left them uncertain about their academic paths. Cancelled exams led to a reliance on teacher-assessed grades and online assessments, fostering an environment where major changes to university evaluation systems are commonplace. As students face increasing financial burdens and time constraints—68% work part-time—the allure of AI as a convenient tool grows. The educational landscape, marked by uncertain and inconsistent assessment formats, necessitates a clearer framework for AI use in learning. The relationship between AI and education stems not from student laziness but from evolving challenges within the academic system, highlighting that universities must adapt and clarify their examination strategies to align with contemporary realities.
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