eISSN 2097-6054 ISSN 1672-9234 CN 11-5289/R
Responsible Institution:China Association for Science and Technology
Publishing:Chinese Nursing Journals Publishing House Co.,Ltd.
Sponsor:Chinese Nursing Association
Source journal for Chinese Science Citation Database
China Academic Journals Full-text Database
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Chinese Journal of Nursing Education ›› 2026, Vol. 23 ›› Issue (11): 1318-1323.doi: 10.3761/j.issn.1672-9234.2026.11.006

• AI-empowered Nursing Education • Previous Articles     Next Articles

Application progress of intelligent evaluation in the teaching of nursing majors

ZHAO Chenglong1(), YANG Qing2,*(), AN Qi3, KONG Xiukun1, WU Ke1, LI Lin3   

  1. 1 Graduate School, Youjiang Medical University for Nationalities, Baise 533000,Guangxi Zhuang Autonomous Region, China
    2 School of Nursing, Hunan Medical College, Huaihua 418000, China
    3 School of Nursing, Ningxia Medical University, Yinchuan 750004, China
  • Received:2026-04-11 Online:2026-11-15 Published:2026-11-04
  • Contact: *YANG Qing,E-mail:michy1224@163.com
  • Supported by:
    Key Research Project of Teaching Reform in Hunan Provincial Undergraduate Universities(202401001788)

Abstract:

The development of artificial intelligence has promoted the transformation of assessment in nursing education toward intelligent assessment. Traditional assessment methods present limitations in objectivity,process-oriented assessment,and individualized feedback. By integrating technologies such as natural language processing,computer vision,machine learning,and generative artificial intelligence,intelligent evaluation enables more precise assessment of nursing students’ knowledge,skills,stress states,and communication competence. This article reviews the concept of intelligent evaluation and related artificial intelligence technologies,with a focus on the current applications of textual data in cognitive assessment,visual data in skills assessment,physiological data in stress assessment,and audiovisual data in communication assessment. It further discusses challenges in implementing intelligent assessment in nursing education and proposes corresponding strategies,aiming to provide a reference for innovation in nursing education assessment and the standardized application of intelligent assessment.

Key words: Intelligent Evaluation, Education, Nursing, Students, Artificial Intelligence, Review