Chee Kong Yap

DOI: 10.26480/ess.02.2025.49.56

ABSTRACT
The integration of Artificial Intelligence (AI) into higher education has introduced transformative possibilities in academic planning and student achievement. This review examines the evolving role of AI technologies in shaping personalized learning pathways, optimizing institutional decision-making, and enhancing academic performance among university students. Drawing upon theoretical frameworks such as the Technological Acceptance Model (TAM) and Constructivist Learning Theory, the paper explores how predictive analytics intelligent tutoring systems, and adaptive learning platforms have redefined student engagement, curriculum design, and academic advisory services. Emphasis is placed on AI-driven innovations such as virtual academic assistants, learning analytics dashboards, and gamified content delivery, which collectively contribute to data driven and student-centered education models. Despite these advancements, challenges such as technological infrastructure gaps, ethical concerns, and the digital divide remain prevalent. The review concludes by offering strategic recommendations for policymakers, educators, and developers to foster equitable and effective AI integration in universities. By aligning technological innovation with pedagogical goals, academic institutions can harness AI’s potential to elevate student success and institutional resilience in the digital age..

KEYWORDS
University students, AI ERA, Exploring, Artificial Intelligence, Academic Planning, Achievement.