Artificial Intelligence in Education

Abstract

Artificial Intelligence (AI) has become a cornerstone of modern educational innovation, enabling personalized learning, automated assessment, and intelligent decision‑making. This paper presents the design, implementation, and evaluation of an AI‑driven adaptive learning system developed to enhance personalized instruction in higher education. The system integrates reinforcement learning, natural language processing, and predictive analytics to dynamically adjust learning pathways based on real‑time student performance. A semester‑long deployment involving 240 undergraduate students demonstrated significant improvements in learning outcomes, engagement, and instructional efficiency. The paper details the system architecture, algorithms, data pipeline, evaluation metrics, and ethical considerations, offering a scalable framework for AI‑enabled education.