Published Paper Details:

Artificial Intelligence (AI) is driving a paradigm shift in higher education, fundamentally transforming teaching methodologies, learning experiences, administrative operations, and academic research. This paper examines the dual-natured impact of integrating AI technologies, such as generative AI and intelligent tutoring systems, into university ecosystems. On one hand, AI offers unprecedented opportunities to scale personalized learning pathways, provide round-the-clock student support, automate administrative tasks for faculty, and accelerate research data analysis. On the other hand, its rapid adoption introduces critical disruptions, including threats to academic integrity, the erosion of students' independent problem-solving skills, algorithmic biases, and data privacy vulnerabilities. Ultimately, this study argues that the successful integration of AI in higher education depends not on the technology itself, but on proactive institutional governance. Universities must shift from reactive policing to deliberate pedagogical redesign, emphasizing authentic, project-based assessments and ethical framework cultivation to prepare students for an AI-augmented workforce.