Published Paper Details:

This study provides an in-depth exploration of the diverse roles played by Artificial Intelligence (AI) within the educational sector, examining its major applications, advantages, opportunities, challenges, and future directions. The central objective is to illustrate how AI-based systems support teachers in identifying learning gaps, offering individualized feedback, and enhancing overall academic performance. The study analyzes several AI-driven tools--including intelligent tutoring systems, adaptive learning platforms, chatbots, predictive analytics, automated assessment tools, and immersive virtual environments. Furthermore, it discusses how AI-enabled data analysis helps educators better understand students' learning patterns, strengthen instructional planning, and deliver targeted interventions. The paper also highlights how AI promotes inclusion by catering to diverse learning needs and styles. Alongside the benefits, the study also addresses ethical concerns and challenges such as data security, algorithmic bias, and the widening digital divide, emphasizing the importance of responsible and transparent AI adoption. Additionally, the study considers the future impact of AI in education and the evolving responsibilities of teachers in AI-enriched classrooms. Ultimately, this comprehensive analysis underlines AI's transformative influence on education while stressing the need for implementation strategies that prioritize equity, accessibility, and ethical integrity.