Returning value from the All of Us research program to PhD-level nursing students using ChatGPT as programming support: results from a mixed-methods experimental feasibility study

被引:2
作者
Turchioe, Meghan Reading [1 ]
Kisselev, Sergey [1 ]
Fan, Ruilin [2 ]
Bakken, Suzanne [1 ,2 ,3 ,4 ]
机构
[1] Columbia Univ, Sch Nursing, 560 West 168th St, New York, NY 10032 USA
[2] Columbia Univ, Grad Sch Arts & Sci, New York, NY 10027 USA
[3] Columbia Univ, Dept Biomed Informat, New York, NY 10032 USA
[4] Columbia Univ, Data Sci Inst, New York, NY 10027 USA
关键词
AI (artificial intelligence); nursing informatics; informatics; medical informatics; nursing students; graduate nursing education; nursing education research;
D O I
10.1093/jamia/ocae208
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Objective We aimed to evaluate the feasibility of using ChatGPT as programming support for nursing PhD students conducting analyses using the All of Us Researcher Workbench.Materials and Methods 9 students in a PhD-level nursing course were prospectively randomized into 2 groups who used ChatGPT for programming support on alternating assignments in the workbench. Students reported completion time, confidence, and qualitative reflections on barriers, resources used, and the learning process.Results The median completion time was shorter for novices and certain assignments using ChatGPT. In qualitative reflections, students reported ChatGPT helped generate and troubleshoot code and facilitated learning but was occasionally inaccurate.Discussion ChatGPT provided cognitive scaffolding that enabled students to move toward complex programming tasks using the All of Us Researcher Workbench but should be used in combination with other resources.Conclusion Our findings support the feasibility of using ChatGPT to help PhD nursing students use the All of Us Researcher Workbench to pursue novel research directions.
引用
收藏
页码:2974 / 2979
页数:6
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