Transforming Higher Education with AI: A Cognitive Infocommunications Perspective

Artificial Intelligence (AI) is increasingly becoming crucial in transforming higher education, offering potential benefits such as personalized learning experiences, predictive analytics, and improved administrative efficiency. However, the implementation of AI also presents significant challenges, including regulatory compliance, ethical considerations, and the need for robust technical infrastructure. This paper explores the regulatory framework governing AI in education and further presents practical applications of AI, such as reducing dropout rates, predictive analysis for admissions, and curriculum network analysis. Additionally, the paper examines the AI effect in higher education from a Cognitive Infocommunications perspective. Emphasizing the scope of human-ICT coevolution, the paper highlights how AI-driven tools can encourage a synergistic relationship between human cognition and information and communication technologies (ICT), enhancing educational outcomes while addressing regulatory and ethical concerns. The aim is to provide a comprehensive overview of the potential and challenges of integrating AI in higher education, offering insights for policymakers, educators, and technologists.