Analyzing the Use of Artificial Intelligence for Conceive-Design-Implement-Operate Implementation

This paper examines the incorporation of Conceive, Design, Implement, Operate artificial intelligence frameworks within state universities, concentrating on the objective of facilitating a seamless shift from conventional teaching practices. By employing the interpretive structural modeling framework, the study recognizes critical elements such as curriculum changes, faculty readiness, and the development of suitable workspaces as crucial enablers of effective integration. The findings underscore the necessity for a phased approach, beginning with faculty training and curriculum restructuring and followed by investments in infrastructure. The main outcomes suggest that focusing on a smooth transition and tackling intermediate factors are vital for optimizing artificial intelligence integration. The practical implications emphasize the significance of strategic, gradual modifications to create a productive learning environment.