The evolution of artificial intelligence on nursing education in China

Yuan Jiang; Minghao Kong

doi:10.31893/multirev.2024291

Keywords:

artificial intelligence

AI health technologies

Abstract

The incorporation of artificial intelligence (AI) in nursing education is a major innovation that has the capacity of changing the practices in the classroom as well as improving the learning outcomes. AI technologies such as machine learning, neural networks, natural language processing, and computer vision enable AI systems to perform intelligent functions like knowledge acquisition, problem-solving, and decision-making. These technologies are most useful in healthcare as they organize and provide insights from large clinical and patient records in decision making processes in order to improve health care. Nevertheless, the following issues are some of the challenges that need to be considered for proper implementation of AI in the Nursing Education especially in China. These are issues such as technological requirements, information security, and other petty issues including the issue of ethics as well as issues of the resistance that is likely to be encountered from the practitioners in the field, students included. However, the prospects of AI, XR, and VR technologies in improving the delivery of nursing education and equipping students with adequate preparation to work in today’s advanced health systems cannot be underestimated.
References
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How to cite

Jiang, Y., & Kong, M. (2024). The evolution of artificial intelligence on nursing education in China. Multidisciplinary Reviews, 7(12), 2024291. https://doi.org/10.31893/multirev.2024291

[1] Aebersold, M., & Dunbar, D. M. (2021). Virtual and augmented realities in nursing education: State of the science. Annual Review of Nursing Research, 39(1), 225-242.

[2] Ahmad, N., Du, S., Ahmed, F., ul Amin, N., & Yi, X. (2023). Healthcare professionals’ satisfaction and AI-based clinical decision support system in public sector hospitals during health crises: a cross-sectional study. Information Technology and Management, 1-13.

[3] Ahmad, S., & Jenkins, M. (2022). Artificial intelligence for nursing practice and management: current and potential research and education. CIN: Computers, Informatics, Nursing, 40(3), 139-144.

[4] Alkhaqani, A. L. (2023). Potential benefits and challenges of ChatGPT in future nursing education. Maaen Journal for Medical Sciences, 2(2), 2.

[5] Alnagrat, A., Ismail, R. C., Idrus, S. Z. S., & Alfaqi, R. M. A. (2022). A review of extended reality (XR) technologies in the future of human education: Current trend and future opportunity. Journal of Human Centered Technology, 1(2), 81-96.

[6] Bayram, S. B., & Caliskan, N. (2020). The use of virtual reality simulations in nursing education, and patient safety. In Contemporary Topics in Patient Safety-Volume 1. IntechOpen.

[7] Boswell, C., & Cannon, S. (2022). Introduction to nursing research: Incorporating evidence-based practice. Jones & Bartlett Learning.

[8] Brown, Janie, Nicole Pope, Anna Maria Bosco, Jaci Mason, and Alani Morgan. "Issues affecting nurses' capability to use digital technology at work: An integrative review." Journal of clinical nursing 29, no. 15-16 (2020): 2801-2819.

[9] Buchanan, B., & Imbrie, A. (2022). The new fire: War, peace, and democracy in the age of AI. MIT Press.

[10] Buchanan, C., Howitt, M. L., Wilson, R., Booth, R. G., Risling, T., & Bamford, M. (2021). Predicted influences of artificial intelligence on nursing education: Scoping review. JMIR nursing, 4(1), e23933.

[11] Chang, C. Y., Sung, H. Y., Guo, J. L., Chang, B. Y., & Kuo, F. R. (2022). Effects of spherical video-based virtual reality on nursing students’ learning performance in childbirth education training. Interactive Learning Environments, 30(3), 400-416.

[12] Chang, C. Y., Yang, C. L., Jen, H. J., Ogata, H., & Hwang, G. H. (2024). Facilitating nursing and health education by incorporating ChatGPT into learning designs. Educational Technology & Society, 27(1), 215-230.

[13] Chen, F. Q., Leng, Y. F., Ge, J. F., Wang, D. W., Li, C., Chen, B., & Sun, Z. L. (2020). Effectiveness of virtual reality in nursing education: meta-analysis. Journal of medical Internet research, 22(9), e18290.

[14] Choi, J., Thompson, C. E., Choi, J., Waddill, C. B., & Choi, S. (2022). Effectiveness of immersive virtual reality in nursing education: systematic review. Nurse Educator, 47(3), E57-E61.

[15] Chu, C. H., Conway, A., Jibb, L., & Ronquillo, C. E. (2022). The Impact of Digital Technologies, Data Analytics and AI on Nursing Informatics: The New Skills and Knowledge Nurses Need for the 21st Century. In Nursing and Informatics for the 21st Century-Embracing a Digital World, 3rd Edition, Book 4 (pp. 149-170). Productivity Press.

[16] Clipper, B. (2023). The Innovation Handbook: A Nurse Leader’s Guide to Transforming Nursing. Sigma Theta Tau.

[17] Cox, R. L., Hunt, K. L., & Hill, R. R. (2023). Comparative analysis of NCLEX-RN questions: a duel between ChatGPT and human expertise. Journal of nursing education, 62(12), 679-687.

[18] Curran, V. R., Xu, X., Aydin, M. Y., & Meruvia-Pastor, O. (2023). Use of extended reality in medical education: an integrative review. Medical Science Educator, 33(1), 275-286.

[19] Dowling, T., Metzger, M., & Kools, S. (2021). Cultivating inclusive learning environments that foster nursing education program resiliency during the Covid-19 pandemic. Journal of Professional Nursing, 37(5), 942-947.

[20] Efendi, D., Apriliyasari, R. W., Prihartami Massie, J. G. E., Wong, C. L., Natalia, R., Utomo, B., ... & Chen, K. H. (2023). The effect of virtual reality on cognitive, affective, and psychomotor outcomes in nursing staffs: systematic review and meta-analysis. BMC nursing, 22(1), 170.

[21] Fealy, S., Irwin, P., Tacgin, Z., See, Z. S., & Jones, D. (2023, July). Enhancing nursing simulation education: a case for extended reality innovation. In Virtual Worlds (Vol. 2, No. 3, pp. 218-230). MDPI.

[22] Gosak, L., Pruinelli, L., Topaz, M., & Štiglic, G. (2024). The ChatGPT effect and transforming nursing education with generative AI: discussion paper. Nurse Education in Practice, 75, 103888.

[23] Green, A., Kim-Godwin, Y. S., & Jones, C. W. (2020). Perceptions of spiritual care education, competence, and barriers in providing spiritual care among registered nurses. Journal of Holistic Nursing, 38(1), 41-51.

[24] Harmon, J., Pitt, V., Summons, P., & Inder, K. J. (2021). Use of artificial intelligence and virtual reality within clinical simulation for nursing pain education: A scoping review. Nurse Education Today, 97, 104700.

[25] Harmon, J., Pitt, V., Summons, P., & Inder, K. J. (2021). Use of artificial intelligence and virtual reality within clinical simulation for nursing pain education: A scoping review. Nurse Education Today, 97, 104700.

[26] Haupeltshofer, A., Egerer, V., & Seeling, S. (2020). Promoting health literacy: What potential does nursing informatics offer to support older adults in the use of technology? A scoping review. Health informatics journal, 26(4), 2707-2721.

[27] Horowitz, M. L., Stone, D. S., Sibrian, J., DuPee, C., & Dang, C. (2022). An innovative approach for graduate nursing student achievement of leadership, quality, and safety competencies. Journal of Professional Nursing, 43, 134-139.

[28] Hosseini, M., Gao, C. A., Liebovitz, D. M., Carvalho, A. M., Ahmad, F. S., Luo, Y., ... & Kho, A. (2023). An exploratory survey about using ChatGPT in education, healthcare, and research. Plos one, 18(10), e0292216.

[29] Hwang, Y. J., Jeong, J. Y., & Jeong, Y. M. (2023). A study on the feasibility of introducing XR in nursing education Core fundamental nursing skills. J Digit Contents Soc, 24, 775-83.

[30] Karakose, T., Demirkol, M., Aslan, N., Köse, H., & Yirci, R. (2023). A conversation with ChatGPT about the impact of the COVID-19 pandemic on education: Comparative review based on human–AI collaboration. Educational Process: International Journal, 12(3), 7-25.

[31] Khan, M. L., Salleh, R., Javaid, M. U., Arshad, M. Z., Saleem, M. S., & Younas, S. (2023). Managing butterfly career attitudes: The moderating interplay of organizational career management. Sustainability, 15(6), 5099.

[32] Khan, K. U., Atlas, F., Arshad, M. Z., Akhtar, S., & Khan, F. (2022). Signaling green: impact of green product attributes on consumers trust and the mediating role of green marketing. Frontiers in Psychology, 13, 790272.

[33] Kim, E. J., Lim, J. Y., & Kim, G. M. (2023). A systematic review and meta-analysis of studies on extended reality-based pediatric nursing simulation program development. Child Health Nursing Research, 29(1), 24.

[34] Kim, J., & Jeong, H. (2023). Instructor's Experience of Extended Reality Applied to Nursing Education. Clinical Simulation in Nursing, 84, 101450.

[35] Kim, S. K., Eom, M. R., & Park, M. H. (2019). Effects of nursing education using virtual reality: a systematic review. The Journal of the Korea Contents Association, 19(2), 661-670.

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