Leveraging ChatGPT as programming support for PhD-level nursing students: Results from a mixed-methods experimental study

Presentation Time: 08:30 AM - 08:45 AM

Abstract Keywords: Education and Training, Large Language Models (LLMs), Nursing Informatics
Working Group: Nursing Informatics Working Group
Primary Track: Applications
Programmatic Theme: Academic Informatics / LIEAF

We aimed to evaluate the advantages and disadvantages of using ChatGPT for programming support for PhD-level nursing students. We employed an experimental study design within a data science and visualization course for PhD-level nursing students. ChatGPT helped students write and troubleshoot code, reduced frustration, and saved time spent on assignments for novices but did not alter confidence scores. ChatGPT may be an effective tool in conjunction with other resources for teaching data science and visualization.

Speaker(s):
Meghan Reading Turchioe, PhD, MPH, RN
Columbia University School of Nursing

Author(s):
Sergey Kisselev, MA - Columbia University; Suzanne Bakken, RN, PhD - Columbia University School of Nursing;