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
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Chinese Journal of Nursing Education ›› 2026, Vol. 23 ›› Issue (4): 457-463.doi: 10.3761/j.issn.1672-9234.2026.04.012

• Ideological and Political Education and Quality Education • Previous Articles     Next Articles

Current situation of artificial intelligence readiness among undergraduate nursing students

LIU Xinxin(), YOU Shuping, ZHAO Xuerong, QIN Qindan, CHEN Fenghui, YAN Ping*()   

  1. School of Nursing,Xinjiang Medical University,830017 Urumqi,China
  • Received:2026-01-06 Online:2026-04-15 Published:2026-04-16
  • Contact: *YAN Ping,E-mail:1852325304@qq.com
  • Supported by:
    University Undergraduate Education and Teaching Research and Reform Project of the Xinjiang Uygur Autonomous Region(XJGXJGPTB-2025035)

Abstract:

Objective To analyze the current status of artificial intelligence(AI) readiness among undergraduate nursing students,aiming to provide references for actively addressing the requirements of nursing talent cultivation in the AI era. Methods Using convenience sampling,490 undergraduate nursing students from four universities in Xinjiang were selected as participants. A general information questionnaire and the Chinese version of the Medical Students AI Readiness Scale were used for the survey. Results The total AI readiness score of the nursing undergraduates was 72.00(66.00,84.00). There were statistically significant differences in the total score of AI readiness and the scores of all dimensions except the vision dimension between nursing students of different genders(P<0.05). Statistically significant differences were found in the total score of AI readiness and the scores of cognition and ability dimensions among students of different ages and grades(P<0.05). There were statistically significant differences in the total score of AI readiness and the scores of all dimensions among students with different self-rated academic performance levels(P<0.05). There were statistically significant differences in the scores of vision and ethics dimensions among students with different application status of large language models(P<0.05). Statistically significant differences were observed in the cognition dimension score among students with different learning status of AI-related courses(P<0.05). Conclusion The AI readiness of undergraduate nursing students is at a moderate level. Educators need to further optimize the content of AI general education courses by integrating AI technologies into the entire teaching process,with a focus on enhancing students’(particularly female students,lower-grade students,those with previously lower academic performance,and those with infrequent use of large language models) cognitive understanding,application skills,and ethical judgment regarding AI technologies,thereby systematically improving their AI readiness.

Key words: Artificial Intelligence Readiness, Nursing, Undergraduates Student, Current Situation Analysis