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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China Academic Journals Full-text Database
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Chinese Journal of Nursing Education ›› 2026, Vol. 23 ›› Issue (8): 944-950.doi: 10.3761/j.issn.1672-9234.2026.08.007

• Curriculum, Teaching Materials, Teaching Methods • Previous Articles     Next Articles

Artificial intelligence-assisted case-based teaching in an undergraduate Nursing Psychology course

WU Shengjun1(), ZHANG Yinling2, HUA Yan2, LIU Qin2, LIU Xufeng1,*()   

  1. 1 Department of Military Medical PsychologyAir Force Medical UniversityXi’an 710032, China
    2 Department of NursingAir Force Medical UniversityXi’an 710032, China
  • Received:2026-03-09 Online:2026-08-15 Published:2026-08-14
  • Contact: *LIU Xufeng,E-mail:lllfmmu@fmmu.edu.cn E-mail:wushj@fmmu.edu.cn;lllfmmu@fmmu.edu.cn
  • Supported by:
    Teaching Research Project of Air Force Medical University(2024ZD11)

Abstract:

Objective To explore the application effect of artificial intelligence(AI)-assisted case-based teaching in the chapter of psychological crisis intervention of Nursing Psychology course. Methods A convenience sampling method was adopted to select 27 undergraduate nursing students of Grade 2020 in a university as the control group,and 24 undergraduate nursing students of Grade 2021 as the experimental group. For the chapter of psychological crisis intervention in Nursing Psychology,the control group received traditional teaching,while the experimental group was given AI-assisted case-based teaching following the five-step process“situation anchoring,theoretical deconstruction,step practice,technical immersion,transfer,and sublimation”. The chapter examination scores,chapter teaching satisfaction,and metacognitive ability scores before and after the course were compared between the two groups. Results The experimental group achieved significantly higher chapter examination scores,chapter teaching satisfaction,and post-course metacognitive ability scores than the control group(all P<0.05). Conclusion AI-assisted case-based teaching can deepen undergraduate nursing students’ comprehension of core theories of psychological crisis intervention and boost the development of students’ metacognitive ability,with high student satisfaction towards this teaching mode.

Key words: Nursing Psychology, Psychological Crisis Intervention, Curriculum Reform, Case-Based Teaching, Artificial Intelligence-Assisted Teaching