生成式人工智能在护理模拟教学中的潜在应用价值、挑战和展望

doi:10.3761/j.issn.1672-9234.2024.09.008

Abstract

Abstract:

The vigorous development of Artificial Intelligence Generated Content（AIGC） has presented immense opportunities in nursing simulation education. This paper delved into every aspect of simulation teaching，focusing on the potential application value of AIGC in the field of nursing simulation education. It encompassed areas such as improving the efficiency of simulation teaching design，generating personalized simulation preparation resources，assisting in writing multimedia simulation teaching case scripts，creating highly realistic security simulation environments，utilizing human-computer interaction technology to achieve communication simulation training，and providing continuous process simulation teaching feedback. This comprehensive analysis disclosed AIGC’s tremendous potential in strengthening teaching outcomes and fostering the refinement of nursing students’ skills. Furthermore，the paper objectively examined the challenges that accompany the application of this technology and proposes corresponding strategies to address them. By maximizing the potential value of AIGC in nursing simulation education，this paper aims to further propel the overall improvement of nursing simulation education quality，ultimately contributing to the cultivation of high-quality nursing professionals.

Key words: Nursing, Education, Generative artificial intelligence, Artificial intelligence generated content, Simulation education

WANG Yaqi, GAO Jie, WANG Kefang. Potential application value，challenges，and prospects of generative artificial intelligence in nursing simulation education[J].Chinese Journal of Nursing Education, 2024, 21(9): 1076-1081.

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Potential application value，challenges，and prospects of generative artificial intelligence in nursing simulation education

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