Technology-Driven Academic Advising: A Faculty Case Study On Chatbot Integration In The College Of Technological Innovation

Background: Recent advancements in technology have significantly influenced higher education, particularly in academic advising. Chatbots provide AI-powered conversational interfaces to address high workloads and fragmented advisory systems. Materials and Methods: This study applies the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to analyze faculty advisors' perceptions of chatbot integration in the College of Technological Innovation at Zayed University. Results: Faculty found chatbots beneficial for handling straightforward inquiries, reducing workload, and improving accessibility. However, challenges include database accuracy, usability, and societal alignment. Conclusion: Chatbots enhance efficiency in academic advising but require robust data management and contextual adaptation to meet user expectations.