Date of Award
12-17-2024
Document Type
Thesis
Degree Name
Master of Arts (MA)
Department
Rhetoric and Writing
First Advisor
Karen Kuralt
Abstract
This research investigates how professional technical writers use AI technology in their work today, which tools they are using, and which tasks they use them for. Using a mixed-methods research design, the study involved 21 participants completing a survey hosted in Qualtrics, and three participants interviewed over Zoom. Quantitative analysis was performed on the survey data, and the researcher used grounded theory to analyze the transcripts of the interview participants. The findings offer insight into how professional technical communicators use these tools and their attitudes toward including AI technologies in future pedagogies. While most participants had used AI technology in their workflows in some capacity, those who did were generally dissatisfied with the results. Participants were largely unsure if these tools would be useful in the future or if they should be included in future curricula. The study highlights the uncertainty that professional technical writers and employers have surrounding these tools and suggests that future studies are needed to examine how—or if—AI should be incorporated into pedagogies moving forward.
Recommended Citation
Schaefer, Jarrett, "Generative AI and Professional Technical Writers: A Mixed-Method Study" (2024). Theses and Dissertations. 1244.
https://research.ualr.edu/etd/1244
