A Systematic Review of the Governance Logic of Artificial Intelligence in Higher

Abstract

    Based on a systematic review of over 100 articles published in the Web of Science Core Collection over the past five years, this study comprehensively analyzes current research on the application, challenges, and governance mechanisms of artificial intelligence in higher education. The findings indicate that AI technology demonstrates significant potential in personalized learning, intelligent tutoring, automated assessment, and instructional design, effectively addressing long-standing issues such as teaching homogenization and inefficient management. However, the transformative impact of AI remains constrained by three interrelated challenges: ethical risks, technical limitations, and institutional deficiencies. This study proposes an integrated framework for technology-ethics-institutional governance, emphasizing ethical oversight by multiple stakeholders, explainable and adaptable technological design, and institutional innovation achieved through leadership development and faculty capacity building.