[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100646797":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":19,"centralContacts":20,"locations":19,"responsibleParty":26,"collaborators":19,"id":28,"slug":29,"hasResults":30,"nctId":31,"briefTitle":32,"officialTitle":32,"acronym":19,"eligibilityCriteria":33,"healthyVolunteers":34,"sex":35,"minAge":36,"maxAge":37,"enrollmentInfo":38,"targetDuration":19,"studyType":41,"phases":42,"briefSummary":44,"conditions":45,"keywords":50,"overallStatus":52,"whyStopped":19,"lastUpdateSubmitDate":53,"lastUpdatePostDateStruct":54,"startDateStruct":57,"completionDateStruct":58,"leadSponsor":60,"locationsCount":19},{"fullName":5,"class":6},"The Fourth Affiliated Hospital of Zhejiang University School of Medicine","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"DeepSeek AI-Based Full English Course Training Arm","EXPERIMENTAL","Participants in this arm are 60 registered orthopedic nurses who receive an 11-week full English course training for orthopedic nursing based on the DeepSeek AI platform. The course adopts a blended online and offline teaching model, covering six modules. Participants undergo professional English written tests, oral assessments, the Transcultural Self-Efficacy Tool (TSET-CV), and the Nurse-Patient Therapeutic Interaction Scale (NuPTIS) before and after the training.",[13],"Other: Based on the all-English courses of DeepSeek",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":19},"Based on the all-English courses of DeepSeek","This intervention is an 11-week full English course training for orthopedic nursing based on the DeepSeek artificial intelligence platform. The course adopts a blended online and offline teaching model, deeply integrating AI technology with nursing English education. It covers six modules: Basic English for Orthopedic Nursing, Trauma Orthopedic Nursing, Joint Replacement and Nursing, Spinal Disorders and Nursing, Common Orthopedic Nursing and Orthoses, and Clinical Cross-cultural Communication. During the training period, nurses engage in personalized learning through the DeepSeek platform, including intelligent vocabulary memorization, AI speech correction exercises, virtual doctor-patient dialogue simulations, AI case analysis, and English literature reading comprehension. These are combined with offline activities such as role-playing, workshops, and case discussions to systematically enhance orthopedic professional English competence and cross-cultural communication skills.",[9],null,[21],{"name":22,"role":23,"phone":24,"phoneExt":19,"email":25},"chuweiwei wei chuww, Bachelor's Degree","CONTACT","+86 0579-89935006","xiaowai_wei@yeah.net",{"type":27,"investigatorFullName":19,"investigatorTitle":19,"investigatorAffiliation":19,"oldNameTitle":19,"oldOrganization":19},"SPONSOR","100646797","a-practical-exploration-of-developing-a-full-english-orthopedic-nursing-curriculum-based-on-deepseek-intelligence-100646797",false,"NCT07688499","A Practical Exploration of Developing a Full-English Orthopedic Nursing Curriculum Based on DeepSeek Intelligence","Inclusion Criteria:\n\n* 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.\n\nExclusion Criteria:\n\n* Nurses who have not completed 1\u002F2 of the course content",true,"ALL","20 Years","40 Years",{"count":39,"type":40},20,"ESTIMATED","INTERVENTIONAL",[43],"NA","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:\n\nWill the DeepSeek-based full English course improve orthopedic nurses' professional English test scores?\n\nWill nurses' transcultural nursing self-efficacy and nurse-patient therapeutic interaction ability improve after the course training?\n\nWhat are nurses' experiences when using the DeepSeek AI platform for learning?\n\nResearchers will compare the English proficiency changes of the same group of orthopedic nurses before and after the training to observe the course effects.\n\nParticipants will:\n\nAttend an 11-week full English course based on the DeepSeek platform, approximately 1-2 hours per week\n\nComplete a professional English written test and an oral proficiency assessment before and after the training\n\nComplete the Transcultural Self-Efficacy Tool (TSET-CV) and the Nurse-Patient Therapeutic Interaction Scale (NuPTIS) before and after the training\n\nComplete a teaching satisfaction and AI learning experience questionnaire after the course",[46,47,48,49],"Orthopedic Nursing","Education, Nursing","Artificial Intelligence","Language",[51],"DeepSeek; artificial intelligence; orthopedic nursing; full English course; nursing English teaching; transcultural nursing; nursing education","NOT_YET_RECRUITING","2026-07-01",{"date":55,"type":56},"2026-07-07","ACTUAL",{"date":53,"type":40},{"date":59,"type":40},"2027-07-01",{"name":5,"class":6}]