As artificial intelligence technology advances at a breakneck pace, universities across the globe are weaving AI deeply into their teaching frameworks. This shift not only boosts teaching efficiency but also refines the learning journey through technological innovations, including personalized learning trajectories and intelligent tutoring systems. For instance, adaptive learning platforms can curate tailored content by analyzing student data, while intelligent assessment tools pinpoint knowledge gaps through gamified learning experiences. At the same time, the integration of AI into education has ignited scientific debates regarding its influence on learning outcomes. Concerns have arisen over technological dependency, a potential decline in autonomous learning capabilities, and risks to data privacy. Research suggests that while AI can enhance learning efficiency, it may also lead to students developing weaker foundational knowledge and experiencing a decline in social skills. Thus, striking a balance between technological innovation and the core tenets of education has emerged as a pivotal challenge in the educational landscape.