Document Type
Thesis - Open Access
Award Date
2026
Degree Name
Master of Science (MS)
Department / School
Journalism and Mass Communications
First Advisor
Jennifer Anderson
Abstract
Academic advising is a critical component of student success, directly impacting institutional retention, GPA, and student autonomy. This thesis explores the transition of this profession into my proposed fifth era characterized by the integration of Artificial Intelligence (AI) as a supportive tool, rather than a replacement, for human connection. Grounded in Peplau’s Interpersonal Relations Theory (IRT), this study examines advisors’ perception of how advanced technology can impact the interpersonal process between students and advisors. A qualitative methodology was used, consisting of seven (N = 7) semi-structured interviews with professional advisors at South Dakota State University. Thematic analysis revealed that AI is viewed as a tool to manage administrative responsibilities. By automating transactional tasks, advisors can reclaim their time to focus on relational development with students. However, concerns exist surrounding data privacy through FERPA and students becoming passive recipients of information rather than active participants in the advising process. While AI can enhance efficiency, it should be paired with human empathy and judgment for a successful advising experience for students.
Publisher
South Dakota State University
Recommended Citation
Schmitz, Rachel Elaine, "New Era of Academic Advising: Integration of Artificial Intelligence Within Academic Advising By" (2026). Electronic Theses and Dissertations. 2131.
https://openprairie.sdstate.edu/etd2/2131