Date of Award
2025
Degree Name
Leadership Studies
College
College of Education and Professional Development
Type of Degree
Ed.D.
Document Type
Dissertation
First Advisor
Dr. Ron Childress
Second Advisor
Dr. Bobbi Nicholson
Third Advisor
Dr. Barry M. Stentiford
Abstract
AI's rapid evolution and integration into society has had and will continue to influence how distance education programs teach their students profoundly. This study aimed to explore the opinions of higher education distance education Provost administrators, program managers, directors, department chairs, and other subject matter experts on the perceived impact of AI in the classroom. This study used a qualitative, phenomenological approach to examine how AI impacts students, faculty, program delivery, institutional policies, and university budgets. Semistructured interviews were conducted with 13 faculty members meeting the criteria to answer research questions based on their experience or observations. The study used five research questions that were routinely observed in the literature review but without a consensus of finding or opinion. The study findings have provided insight into how universities approach policy development that accounts for AI’s disruptive nature in higher education. These findings describe perceived student and faculty use of AI in their education environment and personal lives. Finally, recommendations for future studies and the parameters and populations of focus are included.
Subject(s)
Distance education -- Education (Higher)
Artificial intelligence -- Education (Higher)
Education, Higher.
Recommended Citation
Samaritoni, Eric, "Navigating artificial intelligence: how traditional midwestern four-year higher education institution distance learning programs are addressing artificial intelligence" (2025). Theses, Dissertations and Capstones. 1922.
https://mds.marshall.edu/etd/1922
Included in
Artificial Intelligence and Robotics Commons, Higher Education Commons, Online and Distance Education Commons