Artificial Intelligence (AI) has become an integral component of modern higher education, transforming traditional teaching and learning practices through intelligent tutoring systems, adaptive learning platforms, automated assessment tools, virtual assistants, and generative AI applications. The integration of AI into educational environments has significantly influenced students\' learning behaviors by promoting personalized learning, self-directed study, collaborative learning, and continuous academic engagement. Understanding how AI integration transforms learning behavior is essential for educational institutions seeking to improve learning quality while ensuring responsible and effective technology adoption. The present study investigates the relationship between artificial intelligence integration and learning behavior transformation among higher education students using a quantitative cross-sectional research design. Data were collected from 250 respondents through a structured five-point Likert scale questionnaire and analyzed using descriptive statistics, reliability analysis, Pearson correlation analysis, and regression analysis. The findings indicate that AI integration positively influences learning engagement, self-directed learning, critical thinking, learning motivation, and academic confidence. Students who frequently utilize AI-assisted educational technologies demonstrate greater adaptability, independent learning, and improved academic participation. The study concludes that responsible AI integration can significantly enhance learning behavior transformation while supporting sustainable educational development. The findings provide practical implications for educators, institutional leaders, technology developers, and policymakers seeking to maximize the educational benefits of artificial intelligence.