Published Paper Details:

Artificial Intelligence (AI) is rapidly transforming multiple sectors, and education is no exception. AI-driven tools are reshaping how students learn, how teachers instruct, and how institutions manage academic processes. From adaptive learning platforms that tailor instruction to individual learners to automated assessment tools that provide instant feedback, AI offers unprecedented opportunities to improve both teaching and learning. However, as with any emerging technology, its integration into education also raises significant questions related to equity, bias, privacy, and the role of teachers. Understanding both the benefits and the risks of AI in education is essential for ensuring its responsible and ethical adoption. This paper reviews the empirical evidence on AI's impact on learning outcomes and student engagement while also providing a critical analysis of its core challenges and proposing mitigation strategies for responsible implementation.