Application of high-fidelity scenario simulation teaching based on knowledge graph in Emergency and Critical Care Nursing

RONG Xin-wen; SHI Lei; QIN Fang; FANG Ya-xuan; DONG Guang-yuan; LI Nan-yan; ZHU Wen-ting

doi:10.16460/j.issn1008-9969.2024.16.012

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Journal of Nursing ›› 2024, Vol. 31 ›› Issue (16) : 12-16. DOI: 10.16460/j.issn1008-9969.2024.16.012

Application of high-fidelity scenario simulation teaching based on knowledge graph in Emergency and Critical Care Nursing

RONG Xin-wen, SHI Lei, QIN Fang, FANG Ya-xuan, DONG Guang-yuan, LI Nan-yan, ZHU Wen-ting

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Abstract

Objective To explore the teaching effect of high-fidelity scenario simulation teaching based on knowledge graph in Emergency and Critical Care Nursing. Methods Nursing undergraduates in grade 2020 were selected. One class was randomly assigned as control group (35 students) and received conventional teaching. Another class was designated as experimental group (39 students) and participated in high-fidelity scenario simulation teaching using the knowledge graph in "Emergency and Critical Care Nursing". At the end of the course, autonomous learning ability in the two groups were compared. Teaching effectiveness questionnaire and qualitative interview were used to assess teaching effectiveness and students’ experience. Results The score of autonomous learning ability in the two groups were higher than that before the teaching (P<0.001, P<0.05). There was no statistical significance in the score between the two groups (P>0.05). In the experimental group, 77% of the students believed that the knowledge graph help "form patterns of thinking and problem-solving," and 69% thought knowledge graph was "beneficial for cultivating clinical thinking". Both teachers and students in the experimental group were satisfied with knowledge graph and the teaching plan. Conclusion The combination of knowledge graph and high-fidelity scenario simulation teaching can stimulate nursing students' interest, enhance their comprehensive competency, cultivate clinical thinking, and serve as reference for the intelligent transformation in nursing education.

Key words

knowledge graph / problem graph / Emergency and Critical Care Nursing / high-fidelity scenario simulation teaching

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RONG Xin-wen, SHI Lei, QIN Fang, FANG Ya-xuan, DONG Guang-yuan, LI Nan-yan, ZHU Wen-ting. Application of high-fidelity scenario simulation teaching based on knowledge graph in Emergency and Critical Care Nursing[J]. Journal of Nursing. 2024, 31(16): 12-16 https://doi.org/10.16460/j.issn1008-9969.2024.16.012

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