AI-Driven Academic Advising in Higher Education: Leveraging Intelligent Systems to Personalize Student Support, Improve Retention, and Optimize Career Pathways
Year: 2025
Type: article
Study design: Observational Study
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.
DOI: 10.59075/vy3v7k17
Authors: Aftab Ahmed Soomro, Muhammad Hayat Khan, Muhammad Umar, Sajid Khan, Dr. Osama Ali
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4409523327