¹Assistant Professor, Department of Education, Vivekananda College, Madhyamgram, West Bengal, India

DOI Link (Crossref) Prefix: https://doi.org/10.63431/AIJITR/3.III.2026.127-137

AIJITR, Volume 3, Issue –III, May - June, 2026, PP.127-137

Received on 31th May, 2026 & Accepted on 10th June, 2026, 

Published: 20th June, 2026.

Generative Artifi cial Intelligence (GenAI) is reshaping the landscape of education by enabling highly personalized, adaptive, and learner-centered educational experiences. Through technologies such as large language models, intelligent tutoring systems, automated content generation, and predictive learning analytics, GenAI supports individualized instruction that addresses diverse learning needs, preferences, and abilities. This paper examines emerging trends in AI-driven personalized learning, highlighting its potential to improve student engagement, learning outcomes, accessibility, and teacher productivity. At the same time, it explores signifi cant challenges related to algorithmic bias, data privacy, academic integrity, digital inequality, transparency, and the evolving role of educators. Ethical considerations surrounding responsible AI deployment, human oversight, fairness, accountability, and inclusivity are discussed within the broader context of sustainable educational innovation. The study concludes that while Generative AI off ers transformative opportunities for the future of education, its successful integration depends on ethical governance, equitable access, robust institutional policies, and continuous collaboration among educators, policymakers, technologists, and learners.