基于人工智能技术的健康评估教学平台的构建与初步应用研究

doi:10.3761/j.issn.1672-9234.2026.02.001

Abstract

Abstract:

Objective To develop an artificial intelligence（AI）-based teaching platform for Health Assessment and explore its preliminary application effects，thereby providing a reference for AI-enhanced nursing education. Methods A specialized teaching platform was developed by integrating large language models （e.g.，Zhipu AI，DeepSeek） with nine functional engines，based on an analysis of Health Assessment teaching requirements. A historical control design was adopted. Fifty-one undergraduate nursing students from the 2022 cohort at a university in Guangdong Province were assigned as the control group，and 51 students from the 2023 cohort as the experimental group. Theoretical knowledge and practical skill scores were compared between the two groups. Within the experimental group，clinical reasoning ability was assessed before and after the intervention. The platform’s usability and student satisfaction were also investigated in the experimental group. Results The AI-powered platform featured personalized learning planning，multi-role interactive guidance，and real-time intelligent Q & A. Post-intervention，the experimental group achieved significantly higher scores than the control group in both theoretical knowledge and practical skills （P<0.05）. The mean clinical reasoning ability score within the experimental group increased signifi-cantly from 52.65 to 64.41 （P<0.05）. The average System Usability Scale （SUS） score was 72.12，indicating good usability. The average satisfaction score was 78.51，reflecting high student acceptance. Conclusion The AI-based Health Assessment teaching platform exhibits sound scientific validity and usability. It enhances nursing students’ theoretical knowledge，skills level，and clinical reasoning abilities，showing its application potential in the digital and intelligent transformation of nursing education. Further optimization and broader implementation are recommended for future development.

Key words: Education, Nursing, Health Assessment, Artificial Intelligence, Teaching Platform, Usability

WEN Jing, YANG Zhihui, BI Xiaojun, LIN Jinqiu, ZHAO Qianqian, ZHANG Ping, ZHANG Lili. Development and preliminary application of an AI-based teaching platform for Health Assessment[J].Chinese Journal of Nursing Education, 2026, 23(2): 133-139.

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References 13

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Development and preliminary application of an AI-based teaching platform for Health Assessment

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