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Use of artificial intelligence processing tools to evaluate qualitative data: Student researchers compared to faculty
Shanna K O'Connor1, Erin E Miller2, Alyssa R Zweifel3
1South Dakota State University, Department of Pharmacy Practice, College of Pharmacy and Allied Health Professions, 2400 S Minnesota Ave Suite 101, Sioux Falls, SD 57105, United States of America.
Background:
Artificial intelligence (AI) has emerged as a promising tool to support qualitative data analysis, yet its role in faculty-led studies that incorporate student researchers remains under investigation. This study examined differences in inductive thematic analysis generated by student and faculty researchers using AI compared to traditional faculty-led coding.
Methods:
Three qualitative datasets were analyzed using OpenAI's ChatGPT by faculty and student researchers.
Results:
Findings showed AI-assisted analyses identified most themes accurately, though faculty-generated AI results aligned more closely with expert-reviewed themes than student-generated AI results.
Conclusions:
AI may be a valuable tool to enhance efficiency particularly in initial evaluation of qualitative data.
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