Artificial Intelligence (AI) is transforming the landscape of education by reshaping teaching methodologies, learning experiences, and institutional management. From intelligent tutoring systems to automated assessment tools, AI enhances personalized learning, improves administrative efficiency, and supports data-driven decision-making. Technologies such as adaptive learning platforms, chatbots, and predictive analytics enable educators to address diverse learner needs while fostering engagement and academic achievement. However, the integration of AI in teaching and learning also raises critical concerns related to data privacy, algorithmic bias, digital equity, and the evolving role of teachers. This paper explores the multifaceted impact of AI on education, highlighting its benefits, challenges, and future implications. It argues that while AI has the potential to significantly enhance educational outcomes, its implementation must be guided by ethical frameworks, inclusive policies, and continuous professional development for educators to ensure responsible and equitable use.
S.Rubarani et al. (2026) studied this question.