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

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Conditions studied: Orthopedic Nursing, Education, Nursing, Artificial Intelligence, Language

In brief

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

Key facts

Study ID
NCT07688499
Run by
The Fourth Affiliated Hospital of Zhejiang University School of Medicine
People needed
20
Starts
2026-07-01
Expected to finish
2027-07-01
Last updated by the study team
2026-07-07

Who can join

Age: 20 and older, up to 40. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

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