AI-BASED TEACHING AND LEARNING: A NEW PLATFORM

Abstract

Artificial Intelligence (AI) in modern education, focusing on the shift from traditional instructional models to AI-enhanced teaching and learning platforms. It traces the evolution of AI integration in education over two decades, highlighting key advancements in adaptive learning systems, intelligent tutoring, automated content creation, and learning analytics. The chapter discusses how these technologies personalize instruction, improve efficiency, and support data-driven decision-making. It also critically examines the ethical, infrastructural, and pedagogical challenges that hinder widespread adoption, including data privacy, algorithmic bias, access disparities, and teacher readiness. By reviewing contemporary applications and future directions such as emotion-aware systems and AI-VR integration, the chapter underscores the potential of AI to make education more inclusive, responsive, and effective. Emphasis is placed on ethical implementation and educator empowerment to ensure AI’s positive impact in diverse educational settings.