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1.复旦大学附属华东医院综合门诊,上海 200040
2.复旦大学附属华东医院耳鼻咽喉科,上海 200040
3.复旦大学附属华东医院神经内科,上海 200040
朱真,Email:178741556@qq.com
收稿日期:2024-11-01,
纸质出版日期:2025-06-20
移动端阅览
王馨琴, 吕佳, 朱真. 基于ClassIn平台的“互联网+分层教学”实践研究:以神经内科护士规培为例[J]. 中华医学教育探索杂志, 2025, 24(6): 858-864.
Wang Xinqin, Lü Jia, Zhu Zhen. A study on practice of Internet+ stratified teaching based on ClassIn platform: a case of standardized training for neurology nurses[J]. Chinese journal of medical education research, 2025, 24(6): 858-864.
王馨琴, 吕佳, 朱真. 基于ClassIn平台的“互联网+分层教学”实践研究:以神经内科护士规培为例[J]. 中华医学教育探索杂志, 2025, 24(6): 858-864. DOI: 10.3760/cma.j.cn116021-20241101-02052.
Wang Xinqin, Lü Jia, Zhu Zhen. A study on practice of Internet+ stratified teaching based on ClassIn platform: a case of standardized training for neurology nurses[J]. Chinese journal of medical education research, 2025, 24(6): 858-864. DOI: 10.3760/cma.j.cn116021-20241101-02052.
目的
2
探讨基于ClassIn平台的“互联网+分层教学”模式在神经内科护士规范化培训中的应用效果。
方法
2
纳入2022年7月至2024年1月80名规培护士,随机分为对照组(传统教学)和观察组(互联网+分层教学),各40名。观察组通过ClassIn平台实施三维分层:A层(拓展组)开展跨学科PBL及VR高阶训练(如脑血管介入模拟);B层(标准组)采用智能诊断系统生成个性化训练包;C层(基础组)实施分步编码微课教学。对照组采用统一授课+模拟人练习。比较两组理论考核、操作技能、临床实践能力及综合素质差异。使用SPSS 27.0进行
t
检验和卡方检验。
结果
2
观察组护士理论总分高于对照组,其中病例分析题优势最显著[神经内科病例分析:(8.42±0.24) vs. (5.80±1.20)]。操作技能考核中,观察组护士GCS评分[(91.83±5.01)vs. (72.42±9.31)]和CPR[(93.41±4.90) vs. (73.60±9.12)]得分高于对照组。临床实践方面,观察组护士病情观察能力[(8.50±1.10 )vs. (5.80±1.70)]及健康教育[(9.20±0.70) vs. (6.50±1.30)]表现更优。人文关怀质量方面,观察组操作前解释完整率(8.61±0.54)、患者非语言需求响应率(8.43±0.37)及家属护理技能掌握率(8.35±0.41)均高于对照组(6.67±1.12、6.15±1.02、6.31±1.27)。综合素质评价显示,观察组护士团队协作[(4.90±0.30)vs. (3.50±1.10)]和应急能力[(4.50±0.60 vs. 3.20±1.20)]显著改善。
结论
2
基于ClassIn的“互联网+分层教学”模式能有效提升神经内科护士的理论水平、操作规范性和临床综合能力,且其重视护理中的人文关怀内容,其智能分层与动态调整机制为护理培训提供了新的思路。
Objective
2
To explore the application effect of Internet+ stratified teaching based on ClassIn platform in standardized training for neurology nurses.
Methods
2
A total of 80 nurses who underwent standardized training between July 2022 and January 2024 were randomly divided into control group (traditional teaching) and observation group (Internet+ stratified teaching)
with 40 participants in each group. In the observation group
3D stratification was performed using the ClassIn platform. Specifically
layer A (extension group) received interdisciplinary PBL and VR advanced training (e.g.
cerebrovascular intervention simulation)
layer B (standard group) received personalized training package generated
by an intelligent diagnosis system
and layer C (basic group) received stepped coding micro-class teaching. The control group received centralized lectures plus simulated man exercise. The differences in theoretical assessments
operational skills
clinical practice abilities
and comprehensive quality between the two groups were compared. SPSS 27.0 was used for
t
test and
χ
2
test.
Results
2
The total theoretical assessment score of nurses in the observation group was higher than that in the control group
particularly in case analysis [neurology case analysis: (8.42±0.24) vs. (5.80±1.20)]. In operational skill assessment
the scores of GCS [(91.83±5.01) vs. (72.42±9.31)] and CPR [(93.41±4.90) vs. (73.60±9.12)] in the observation group were higher than those in the control group. In terms of clinical practice
nurses in the observation group demonstrated superior performance in condition observation ability [(8.50±1.10) vs. (5.80±1.70)] and health education [(9.20±0.70) vs. (6.50±1.30)]. In terms of the quality of humanistic care
the observation group outperformed the control group in complete rate of interpretation before operation [(8.61±0.54) vs. (6.67±1.12)]
response rate of non-verbal demand [(8.43±0.37) vs. (6.15±1.02)]
and rate of family members mastering nursing skills [(8.35±0.41) vs. (6.31±1.27)]. The comprehensive quality evaluation showed that team cooperation [(4.90±0.30) vs. (3.50±1.10)] and emergency response ability [(4.50±0.60) vs. (3.20±1.20)] were significantly improved in the observation group.
Conclusions
2
The model of Internet+ stratified teaching based on ClassIn platform can effectively improve theoretical knowledge
operational standardization
and clinical comprehensive ability of neurology nurses. This approach emphasizes humanistic care in nursing. The intelligent stratification and dynamic regulation mechanism provide new ideas for nursing training.
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