The Application, Challenges, and Development of Artificial Intelligence in Nursing Education
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Keywords

Artificial intelligence
Application of nursing education
Challenge
Development

DOI

10.26689/erd.v6i12.9290

Submitted : 2024-12-07
Accepted : 2024-12-22
Published : 2025-01-06

Abstract

With the rapid development of science and technology, artificial intelligence has penetrated every field, including the nursing education industry. This paper aims to discuss the application, challenges, and development trends of artificial intelligence in nursing education. The application of artificial intelligence technology such as virtual reality, augmented reality, mixed reality technology, ChatGPT, and knowledge graph in nursing education reveals its important role in improving the quality of nursing teaching, stimulating students’ learning interest, and helping students build clinical practice ability. At the same time, this paper also points out the challenges existing in the application process of artificial intelligence, including privacy and security issues, over-dependence problems, lack of cognition of nursing staff, and difficulties in interdisciplinary integration. Finally, this paper puts forward countermeasures to the existing challenges, including teaching method innovation, curriculum content reform, curriculum module optimization, etc., in order to promote the development of nursing education and cultivate high-quality nursing talents who are more in line with the needs of the times.

References

Zhai C, Meng B, Yu L, et al., 2023, Application of Artificial Intelligence in Higher Vocational Nursing Education. Packaging World, 2023(12): 127–129.

Li J, Fan X, 2024, Application of Artificial Intelligence in Career Planning and its Implications for Nursing Education. Chinese Journal of Nursing Education, 21(9): 1072–1076.

Cai W, Zhang C, Chen Y, et al., 2024, Application Status and Development Strategy of Virtual Digital Human in Nursing Field. China Medical Review, 21(27): 79–84.

Chen H, 2024, Discussion on the Application of AI Tools in the Teaching of “Surgical Nursing” in Higher Vocational Colleges. Road to Success, 2024(22): 21–24.

Qiu Yinan, Zhong Q, 2022, Application of Digital Teaching in Nursing Education. Modern Health Care, 2022(24): 2101–2104.

Wang X, Ma H, Zhu K, 2022, Preliminary Application of AI Teaching in Basic Nursing Education. China Higher Medical Education, 2022(5): 110–111.

Peng W, Cheng X, Zhou M, et al., 2024, Explore the Virtual Practice and Simulation Training of ChatGPT in Nursing Education. Evidence-Based Nursing, 10(11): 1961–1963.

Wang X, Ma W, 2019, Path Selection of Nursing Development in Artificial Intelligence Era. Evidence-Based Nursing, 2019(6): 575–576.

Chen J, 2024, The Current Status and Challenges of Virtual Simulation Technology in Nursing Education. Smart

Health, 10(1): 146–149.

Ju M, Ding X, Fu Y, et al., 2024, Opportunities, Challenges and Countermeasures in Nursing Field under ChatGPT Technology. Evidence-Based Nursing, 10(14): 2525–2531.

Wu D, Guo J, Chen Y, 2024, The Application of Deep Learning in Nursing. Nursing Research, 38(4): 667–670.

Li T, 2024, Application Value of Artificial Intelligence Technology-Based Emergency Teaching Model in Emergency Department Nurses’ Practice. Medical Clinical Research, 41(5): 789–791.

Liu Q, Liu X, 2012, Implications of New Multimedia Technology for Nursing Education. Contemporary Nurses (Academic Edition), 2012(12): 159–161.

Li W, 2020, Construction of GAS Model for Nursing Professional Medical Simulation Education. Chinese Information, (9): 132–133.

Zhang Q, 2017, How to Cope with the Era of Artificial Intelligence in Vocational Education. Vocational and Technical Education, 2017(21): 1.