Published Paper Details:

The integration of Artificial Intelligence (AI) in education presents transformative opportunities and significant challenges. AI technologies, such as adaptive learning systems, intelligent tutoring, and automated grading, offer personalized learning experiences, enhanced engagement, and improved efficiency in educational settings. These innovations enable educators to tailor instruction to individual student needs, facilitate real-time feedback, and reduce administrative burdens, thereby fostering a more effective and inclusive learning environment. However, the adoption of AI in education also raises critical challenges, including data privacy concerns, ethical considerations, and the potential for exacerbating educational inequalities. Additionally, there is a need for substantial teacher training and infrastructural support to effectively implement AI-driven tools. This paper explores the dual aspects of AI integration in education by examining its potential to revolutionize teaching and learning while addressing the ethical, practical, and technological hurdles that must be overcome to realize its full potential.