AI-Driven Academic Advising in Higher Education: Leveraging Intelligent Systems to Personalize Student Support, Improve Retention, and Optimize Career Pathways

Abstract

The integration of Artificial Intelligence (AI) into academic advising is rapidly transforming how higher education institutions support student success. This study explores the effectiveness of AI-driven academic advising systems in enhancing student support, improving retention rates, and optimizing career pathways. Using a survey-based methodology, data was collected from 1,200 university students across three institutions that have implemented AI-powered advising platforms. The survey assessed students’ experiences with the AI system, focusing on usability, personalization, academic confidence, retention likelihood, and alignment of academic choices with career goals. Results indicate a significant positive impact of AI on students’ perception of guidance quality, timely decision-making, and clarity in career planning. Furthermore, students reported increased satisfaction and a stronger sense of being supported academically, with many noting that AI-generated insights helped them make informed choices about courses and careers. These findings suggest that when implemented ethically and with proper institutional support, AI-driven academic advising can serve as a powerful tool for personalized education and long-term academic success.