Integrating Artificial Intelligence in Higher Education Learning Systems: A Study in South Korea

Abstract

This study examines the integration of artificial intelligence (AI) technologies within higher education learning systems in South Korea, focusing on implementation strategies, pedagogical impacts, and institutional challenges. Through a mixed-methods approach involving surveys of 450 faculty members and students across fifteen universities, alongside case study analyses of AI-integrated courses, this research investigates how Korean institutions are adopting AI-driven learning management systems, intelligent tutoring systems, and automated assessment tools. Findings reveal that while AI integration demonstrates significant potential for personalized learning experiences and administrative efficiency, challenges persist regarding faculty preparedness, ethical considerations, and equitable access to technology. The study identifies critical success factors including institutional support, professional development programs, and clear governance frameworks. Results indicate that successful AI integration requires balanced approaches that preserve human-centered pedagogy while leveraging technological capabilities. This research contributes to understanding AI adoption patterns in Asian higher education contexts and provides evidence-based recommendations for educational leaders, policymakers, and technology developers seeking to implement AI solutions effectively.