Year: 2025
Type: article
Abstract: This study explores the integration of generative artificial intelligence (AI) into qualitative research within a higher education context. Through a collaborative self-study, a doctoral candidate and their dissertation supervisor examined the application of Google’s Gemini 1.5 to analyze interview data from a dissertation of practice (DiP) focused on interinstitutional partnerships. The findings demonstrate that AI can enhance the depth and efficiency of qualitative analysis, revealing hidden complexities and patterns while augmenting the researcher's analytical skills and fostering reflexivity. However, challenges related to data integrity, potential biases, and the need for careful human oversight are also discussed. This research offers insights into the transformative potential of AI in qualitative research, particularly within doctoral education, while raising important ethical considerations and prompting a re-evaluation of traditional dissertation practices in the context of emerging technologies.
DOI: 10.5195/ie.2025.489
Authors: Corrie Wilder, Shannon Calderone
Institution: Washington State University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4407241390