College students' employability, cognition, and demands for ChatGPT in the AI era among Chinese nursing students: web-Based survey
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Abstract
BACKGROUND: With the rapid development of artificial intelligence (AI) and the widespread use of ChatGPT, nursing students' artificial intelligence quotient (AIQ), employability, cognition, and demand for ChatGPT are worthy of attention. OBJECTIVE: We aimed to investigate Chinese nursing students' AIQ and employability status as well as their cognition and demand for the latest AI tool-ChatGPT. This study was conducted to guide future initiatives in nursing intelligence education and to improve the employability of nursing students. METHODS: We used a cross-sectional survey to understand nursing college students' AIQ, employability, cognition, and demand for ChatGPT. Using correlation analysis and multiple hierarchical regression analysis, we explored the relevant factors in the employability of nursing college students. RESULTS: In this study, out of 1788 students, 1453 (81.30%) had not used ChatGPT, and 1170 (65.40%) had never heard of ChatGPT before this survey. College students' employability scores were positively correlated with AIQ, self-regulation ability, and their home location and negatively correlated with school level. Additionally, men scored higher on college students' employability compared to women. Furthermore, 76.5% of the variance was explained by the multiple hierarchical regression model for predicting college students' employability scores. CONCLUSIONS: Chinese nursing students have limited familiarity and experience with ChatGPT, while their AIQ remains intermediate. Thus, educators should pay more attention to cultivating nursing students' AIQ and self-regulation ability to enhance their employability. Employability, especially for female students, those from rural backgrounds, and students in key colleges, deserves more attention in future educational efforts.
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Other challenges highlighted are the lack of knowledge, use and access to ChatGPT.
“Other challenges highlighted are the lack of knowledge, use and access to ChatGPT (Luo et al., 2023)”
From Current trends and future implications in the utilization of ChatGPT in nursing: a rapid review (2024) · cites this paper as Luo et al., 2023
ChatGPT may improve the employability of nursing students.
“Similarly, Luo et al. (2023) reported that ChatGPT may improve the employability of nursing students.”
From Current trends and future implications in the utilization of ChatGPT in nursing: a rapid review (2024) · cites this paper as Luo et al., 2023
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Current trends and future implications in the utilization of ChatGPT in nursing: a rapid review
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- Authors
- Luo, Y., Weng, H., Yang, L., Ding, Z., & Wang, Q.
- Affiliations
- Central South University (CN)
- Second Xiangya Hospital of Central South University (CN)
- Venue
- JMIR Formative Research
- Publisher
- JMIR Publications Inc.
- Published
- 2023-12-22
- Volume
- 7
- Pages
- e50413
- ISSN
- 2561-326X (ISSN-L)
- PMC
- PMC10770778
- OpenAlex
- W4388916687
- Cited by
- 28
- References
- 32
- Citations by year
- 2026: 13 · 2025: 7 · 2024: 8
- FWCI
- 7.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Formative Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Central South University
- Natural Science Foundation of Hunan Province
- Xiangya Hospital, Central South University
- Topics
- Health Sciences › Nursing › Leadership and Management › Healthcare Education and Workforce Issues
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- nursing students, ChatGPT, employability, AI literacy, self-regulation, nursing education, generative AI adoption, gender differences, rural students, Chinese nursing students
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