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

摘要/Abstract

摘要：

生成式人工智能技术快速发展，这也为护理模拟教学的发展提供了机遇。该文从模拟教学的各个环节入手，聚焦于生成式人工智能在护理模拟教学领域的潜在应用价值，包括提高模拟教学设计效率、生成个性化的模拟前准备资源、助力编写多媒体形式的模拟教学案例脚本、创设高度逼真的安全性模拟环境、利用人机交互技术实现沟通模拟训练、提供连续的过程性模拟教学反馈，展示了其在增强教学效果、促进学生技能精进方面的巨大潜力。同时，该文客观审视了伴随技术应用而来的挑战，并提出了相应的应对策略，从而最大化地发挥生成式人工智能在护理模拟教学中的潜在价值，进一步推动护理模拟教学质量的全面提升，为培养高素质的护理人才贡献力量。

关键词: 生成式人工智能, 人工智能生成内容, 护理教育, 模拟教学

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

王雅琦, 高洁, 王克芳. 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[J]. 中华护理教育, 2024, 21(9): 1076-1081.

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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