Exploring medical students’ intention to use of ChatGPT from a programming course: a grounded theory study in China

Abstract Background In interdisciplinary general education courses, medical students face the daunting challenge of learning programming due to academic pressure, cognitive biases, and differences in thinking patterns. ChatGPT provides an effective way for people to acquire knowledge, improve learni...

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Main Authors: Chen Wang, Changqi Xiao, Xuejiao Zhang, Yingying Zhu, Xueqing Chen, Yilin Li, Huiying Qi
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Medical Education
Subjects:
Online Access:https://doi.org/10.1186/s12909-025-06807-6
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author Chen Wang
Changqi Xiao
Xuejiao Zhang
Yingying Zhu
Xueqing Chen
Yilin Li
Huiying Qi
author_facet Chen Wang
Changqi Xiao
Xuejiao Zhang
Yingying Zhu
Xueqing Chen
Yilin Li
Huiying Qi
author_sort Chen Wang
collection DOAJ
description Abstract Background In interdisciplinary general education courses, medical students face the daunting challenge of learning programming due to academic pressure, cognitive biases, and differences in thinking patterns. ChatGPT provides an effective way for people to acquire knowledge, improve learning efficiency, and quality. Objective To explore whether medical students can be assisted in learning programming with the help of ChatGPT, it is necessary to investigate their experience and perception of using ChatGPT, and to study which factors influence their willingness to use ChatGPT. Methods Drawing on the grounded theory research paradigm, this paper constructs a research model of the influencing factors of ChatGPT usage willingness for medical students in programming courses through the analysis of interview data from 30 undergraduate medical students. It analyzes and discusses the cognition and influencing factors of medical students’ willingness to use ChatGPT in programming learning. Results The willingness to use ChatGPT in programming learning is divided into three types based on the students’ subjective degree of use: active use, neutral use, and negative use. It is also found that individual factors, technical factors, information factors, and environmental factors are four important dimensions affecting the willingness to use ChatGPT. Conclusions Based on the analysis of influencing factors, strategies and suggestions such as preventing risks and focusing on ethical education, cultivating critical thinking and establishing a case library, and personalized teaching to enhance core literacy in programming are proposed.
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spelling doaj-art-6e3670f4eb424c07892891586f1311712025-02-09T12:42:20ZengBMCBMC Medical Education1472-69202025-02-0125111210.1186/s12909-025-06807-6Exploring medical students’ intention to use of ChatGPT from a programming course: a grounded theory study in ChinaChen Wang0Changqi Xiao1Xuejiao Zhang2Yingying Zhu3Xueqing Chen4Yilin Li5Huiying Qi6Department of Health Informatics and Management, School of Health Humanities, Peking UniversitySchool of Nursing, Peking UniversitySchool of Nursing, Peking UniversitySchool of Nursing, Peking UniversitySchool of Nursing, Peking UniversitySchool of Basic Medical Sciences, Capital Medical UniversityDepartment of Health Informatics and Management, School of Health Humanities, Peking UniversityAbstract Background In interdisciplinary general education courses, medical students face the daunting challenge of learning programming due to academic pressure, cognitive biases, and differences in thinking patterns. ChatGPT provides an effective way for people to acquire knowledge, improve learning efficiency, and quality. Objective To explore whether medical students can be assisted in learning programming with the help of ChatGPT, it is necessary to investigate their experience and perception of using ChatGPT, and to study which factors influence their willingness to use ChatGPT. Methods Drawing on the grounded theory research paradigm, this paper constructs a research model of the influencing factors of ChatGPT usage willingness for medical students in programming courses through the analysis of interview data from 30 undergraduate medical students. It analyzes and discusses the cognition and influencing factors of medical students’ willingness to use ChatGPT in programming learning. Results The willingness to use ChatGPT in programming learning is divided into three types based on the students’ subjective degree of use: active use, neutral use, and negative use. It is also found that individual factors, technical factors, information factors, and environmental factors are four important dimensions affecting the willingness to use ChatGPT. Conclusions Based on the analysis of influencing factors, strategies and suggestions such as preventing risks and focusing on ethical education, cultivating critical thinking and establishing a case library, and personalized teaching to enhance core literacy in programming are proposed.https://doi.org/10.1186/s12909-025-06807-6ChatGPTUse intentionMedical studentsProgramming courseGrounded theory
spellingShingle Chen Wang
Changqi Xiao
Xuejiao Zhang
Yingying Zhu
Xueqing Chen
Yilin Li
Huiying Qi
Exploring medical students’ intention to use of ChatGPT from a programming course: a grounded theory study in China
BMC Medical Education
ChatGPT
Use intention
Medical students
Programming course
Grounded theory
title Exploring medical students’ intention to use of ChatGPT from a programming course: a grounded theory study in China
title_full Exploring medical students’ intention to use of ChatGPT from a programming course: a grounded theory study in China
title_fullStr Exploring medical students’ intention to use of ChatGPT from a programming course: a grounded theory study in China
title_full_unstemmed Exploring medical students’ intention to use of ChatGPT from a programming course: a grounded theory study in China
title_short Exploring medical students’ intention to use of ChatGPT from a programming course: a grounded theory study in China
title_sort exploring medical students intention to use of chatgpt from a programming course a grounded theory study in china
topic ChatGPT
Use intention
Medical students
Programming course
Grounded theory
url https://doi.org/10.1186/s12909-025-06807-6
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