Reimagining Education With Artificial Intelligence

Abstract

This article explores the transformative role of Artificial Intelligence (AI) in education by defining its core components, including adaptive learning, intelligent tutoring, natural language processing, and data analytics, and illustrating how these elements enable personalized, multimodal, and accessible learning at scale. It examines impacts on pedagogy such as real-time feedback, gamification and inquiry-based approaches, as well as institutional applications like enrollment optimization and resource allocation. Ethical considerations of bias, privacy, transparency, and equitable access are analyzed within a human-centered framework that ensures AI augments educators by combining governance, bias audits, privacy safeguards, and sustained professional development.

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