Abstract The study aims to investigate the most important artificial intelligence (AI) applications used in the university environment, the challenges of employing AI applications, and the requirements for integrating AI into the university environment. It examines the impact of AI on higher education teaching and learning and discusses the potential benefits and challenges of integrating AI into the university setting. The descriptive analytical approach was adopted for literature review to characterize the use of AI in universities. The survey approach was also used to collect data from 240 faculty members at Saudi universities and 15 experts in AI. The survey instrument included three dimensions with a total of 47 statements. The results show that the most important AI applications used in universities include personalized learning, efficient resource management, and greater research capability. However, the study also found that universities face challenges such as insufficient knowledge of AI, lack of AI ethics, and the need for strong cybersecurity. The key requirements for integrating AI into the university environment include a comprehensive AI ecosystem, advanced technological infrastructure, and training programs for faculty and students. This study provides a comprehensive analysis of the current state of AI adoption in teaching and learning at universities and the key factors that need to be addressed for successful integration. It contributes to the growing body of research on the role of AI in higher education and offers insights for educational stakeholders on the strategies and requirements for leveraging AI to enhance the teaching and learning experience.
DOI: https://doi.org/10.1515/libri-2024-0152
Publish Year: 2025
