Artificial Intelligence and Educational Quality in Higher Education: A Systematic Review

This study examines the impact of artificial intelligence (AI) on educational quality in higher education. The objective was to evaluate how AI optimizes teaching-learning processes and to identify challenges and opportunities for its implementation. A systematic review was conducted using the PRISMA protocol, selecting 22 documents from databases such as Scopus, Web of Science, EBSCO, and ProQuest (2002–2024). Results indicate that AI enhances education through personalized learning, administrative automation, and automated assessment. However, challenges like technological infrastructure needs, data privacy concerns, and resistance to change remain. AI’s transformative potential depends on strategic implementation that considers ethical and social factors.