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临床试验/NCT07688499
NCT07688499尚未招募不适用

A Practical Exploration of Developing a Full-English Orthopedic Nursing Curriculum Based on DeepSeek Intelligence

The Fourth Affiliated Hospital of Zhejiang University School of Medicine0 个研究点目标入组 20 人开始时间: 2026年7月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
发起方
入组人数
20
主要终点
Change in Professional English Written Test Score from Baseline to Week 11

研究概览

简要总结

This educational reform study aims to explore whether a full English course built on the DeepSeek artificial intelligence platform can improve orthopedic nurses' professional English competence. It will also examine nurses' satisfaction with AI-assisted teaching. The main questions it seeks to answer include:

Will the DeepSeek-based full English course improve orthopedic nurses' professional English test scores?

Will nurses' transcultural nursing self-efficacy and nurse-patient therapeutic interaction ability improve after the course training?

What are nurses' experiences when using the DeepSeek AI platform for learning?

Researchers will compare the English proficiency changes of the same group of orthopedic nurses before and after the training to observe the course effects.

Participants will:

Attend an 11-week full English course based on the DeepSeek platform, approximately 1-2 hours per week

Complete a professional English written test and an oral proficiency assessment before and after the training

Complete the Transcultural Self-Efficacy Tool (TSET-CV) and the Nurse-Patient Therapeutic Interaction Scale (NuPTIS) before and after the training

Complete a teaching satisfaction and AI learning experience questionnaire after the course

详细描述

This educational reform study aims to explore whether a full English course built on the DeepSeek artificial intelligence platform can improve orthopedic nurses' professional English competence and international service capabilities.

Background: With the advancement of the "Belt and Road" Initiative, international exchange and cooperation in orthopedic nursing have become increasingly frequent, placing higher demands on nurses' professional English proficiency. However, orthopedic nurses currently generally lack adequate professional English competence. Traditional nursing English education suffers from a single course structure, disconnection between teaching content and clinical practice, and a lack of personalized learning pathways. DeepSeek, as a leading domestic AI model, possesses powerful natural language processing, intelligent speech recognition, and personalized recommendation capabilities, yet its application in nursing English education remains unexplored.

Objective: This study aims to construct a DeepSeek-based full English course system for orthopedic nurses, explore effective pathways for AI-empowered nursing English teaching, and verify its practical effects on improving orthopedic nurses' professional English competence, transcultural nursing self-efficacy, and nurse-patient therapeutic interaction ability.

Study Design: A quasi-experimental study with a one-group pretest-posttest design will be adopted. Sixty registered orthopedic nurses will be recruited to participate in an 11-week blended online and offline full English course based on the DeepSeek platform. The effectiveness of the course intervention will be evaluated by comparing changes in nurses' professional English test scores, oral proficiency assessment results, Transcultural Self-Efficacy Tool (TSET-CV) scores, and Nurse-Patient Therapeutic Interaction Scale (NuPTIS) scores before and after the training.

Intervention: The full English course built on the DeepSeek platform spans 11 weeks and is divided into six modules:

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Other
盲法
None

入排标准

年龄范围
20 Years 至 40 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • ① On-duty nurses in the orthopedics department ② Obtained the nurse professional qualification certificate ③ Obtained the patient's informed consent and signed the informed consent form ④ The research was approved by the ethics committee of this hospital.

排除标准

  • Nurses who have not completed 1/2 of the course content

结局指标

主要结局

Change in Professional English Written Test Score from Baseline to Week 11

时间窗: from Baseline to Week 11

Change in Professional English Written Test Score from Baseline to Week 11

次要结局

未报告次要终点

研究者

发起方
The Fourth Affiliated Hospital of Zhejiang University School of Medicine
申办方类型
Other
责任方
Sponsor

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