Alternative Title
Early Days of Normalizing Artificial Intelligence (AI) Use in a Doctoral Program
Contributor
University of Central Florida. Faculty Center for Teaching and Learning; University of Central Florida. Division of Digital Learning; Teaching and Learning with AI Conference (2025 : Orlando, Fla.)
Location
Sun & Surf I/II
Start Date
29-5-2025 10:45 AM
End Date
29-5-2025 11:10 AM
Publisher
University of Central Florida Libraries
Keywords:
AI integration; Doctoral education; Qualitative analysis; Transparency in AI; Higher education practices
Subjects
Artificial intelligence--Study and teaching (Higher); Artificial intelligence--Educational applications; Doctoral students; Graduate students--Research; Artificial intelligence--Social aspects
Description
In this presentation, we share the AI use journey of four Ph.D. students in a Hospitality Management doctoral program. While the course syllabus included an AI use statement requesting transparency and reporting of prompt engineering and percentage use of the generative AI, students' actual use was initially cautious. Qualitative data analysis of students' AI transparency statements and postcourse reflections will be shared to inform best practices for programs with emergent use of AI in higher education. Given the unique roles of doctoral students in academia - combining researcher, future mentor, and future teacher- we posit that AI should not serve a transactional purpose, but instead play a transformative role in knowledge creation.
Language
eng
Type
Presentation
Format
application/pdf
Rights Statement
All Rights Reserved
Audience
Faculty; Students
Recommended Citation
Zencirli, Burcin; Millheim, Natasha Cruz; and Mejia, Cynthia, "Early Days of Normalizing AI Use in a Doctoral Program" (2025). Teaching and Learning with AI Conference Presentations. 65.
https://stars.library.ucf.edu/teachwithai/2025/thursday/65
Early Days of Normalizing AI Use in a Doctoral Program
Sun & Surf I/II
In this presentation, we share the AI use journey of four Ph.D. students in a Hospitality Management doctoral program. While the course syllabus included an AI use statement requesting transparency and reporting of prompt engineering and percentage use of the generative AI, students' actual use was initially cautious. Qualitative data analysis of students' AI transparency statements and postcourse reflections will be shared to inform best practices for programs with emergent use of AI in higher education. Given the unique roles of doctoral students in academia - combining researcher, future mentor, and future teacher- we posit that AI should not serve a transactional purpose, but instead play a transformative role in knowledge creation.