Vol. 11, Issue 10, Part E (2025)

Abstract
Artificial intelligence (AI) is fundamentally reshaping undergraduate education by enabling adaptive, personalized, and data-driven learning environments. This paper presents a comprehensive review of AI’s role in advancing undergraduate education, synthesizing developments across adaptive learning systems, intelligent tutoring, automated assessment, and generative AI-driven content delivery. Key applications-such as individualized course pathways, AI-powered feedback, and predictive analytics for student success-are examined, along with the critical ethical, privacy, and accessibility challenges that accompany AI adoption. Drawing on recent studies and case examples from 2019 to 2025, the review explores how AI-powered tools promote deeper engagement, mitigate achievement gaps, and foster inclusive, student-centered learning experiences. The findings underscore both the opportunities and limitations of AI in educational transformation and offer evidence-based recommendations for institutions and policymakers seeking to deploy AI responsibly, inclusively, and effectively within the undergraduate context.