Artificial Intelligence (AI) has rapidly transformed contemporary educational environments by introducing intelligent tutoring systems, adaptive learning platforms, automated assessment tools, virtual learning assistants, and generative AI applications that enhance teaching and learning experiences. These AI-assisted educational environments are reshaping students\' behavioral responses by influencing learning engagement, motivation, self-regulated learning, academic confidence, and decision-making. Understanding how students respond behaviorally to AI-supported learning environments is essential for promoting effective educational practices and responsible AI integration. The present study investigates the relationship between AI-assisted educational environments and behavioral responses 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, correlation analysis, and regression analysis. The findings indicate that AI-assisted educational environments positively influence student engagement, learning motivation, adaptive learning behavior, and academic confidence while encouraging independent learning and personalized educational experiences. However, the study also recognizes that excessive dependence on AI technologies may reduce critical thinking and independent problem-solving if not supported by appropriate instructional strategies. The findings provide valuable implications for educators, institutional leaders, technology developers, and policymakers seeking to integrate artificial intelligence responsibly while promoting positive behavioral outcomes and sustainable educational development.