Application of Artificial Intelligence in Higher Education: A Systematic Review

Abstract

Artificial intelligence (AI) is an advanced technology that enhances communication pathways across various industries, including education. Current state-of-the-art AI technologies offer significant benefits such as improved efficiency, personalized learning, inclusive learning, adaptive learning, smarter content, and enhanced effectiveness in educational administration. This study employed a qualitative research approach and systematically reviewed the literature to explore the impact of AI on higher education. To ensure a thorough and rigorous analysis, the review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria and searched databases such as Scopus, Web of Science, and IEEE Xplore. The findings indicate that AI positively influences higher education by enhancing instructional methods and administrative processes. Instructors can perform their activities more effectively, ensuring the reliability and quality of their teaching. While the integration of AI in education promotes learning effectiveness, it also addresses potential adverse effects, thereby improving the overall quality of learning. This study contributes to the academic field by providing empirical evidence of AI’s benefits in higher education and offering practical recommendations for its implementation.