The continuous advancement of artificial intelligence (AI) and digital technologies has profoundly reshaped various sectors, with education being one of the most significantly impacted. These technologies have enabled new teaching methodologies that emphasize personalization, flexibility, inclusivity, and student-centered learning. Artificial intelligence, through adaptive learning systems, intelligent tutoring, and predictive analytics, is revolutionizing how instruction is delivered and how student progress is monitored. Simultaneously, digital innovations such as mobile learning applications, learning management systems (LMS), virtual and augmented realities, and gamification strategies have redefined classroom experiences, offering dynamic and immersive learning environments. However, alongside these opportunities arise challenges related to digital equity, ethical considerations, teacher training, and the risk of over-reliance on technology. This paper provides a comprehensive analysis of how AI and digital technologies are influencing the development of modern teaching methodologies. It discusses their benefits, critically examines the barriers to their widespread adoption, and offers suggestions for future implementation strategies aimed at fostering sustainable, inclusive, and effective educational practices. Through this exploration, the paper highlights the imperative of balancing technological innovation with human-centric pedagogical principles to ensure a transformative and equitable future for education.

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