Abstract
Artificial intelligence (AI) is reshaping higher education by enabling personalized learning experiences that surpass traditional teaching methods. This study aimed to analyze the effectiveness, engagement, flexibility, and feedback quality of AI-based learning compared to traditional approaches. Conducted at a domestic higher education institution, the research utilized a mixed-methods approach, combining quantitative surveys, qualitative interviews, and a two-week case study where students engaged with AI tools like ChatGPT. A paired t-test was used to assess statistical significance, while thematic analysis identified key strengths and limitations of AI-based learning. AI-based learning proved more flexible and efficient, highlighting its potential in personalizing education