AI-Assisted Feedback for Learning Standardized Tuina Skills
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorZhejiang University
About this trial
The goal of this educational study is to determine whether personalized feedback generated using sensor data and generative artificial intelligence (AI) can improve the learning of standardized Tuina skills among rehabilitation trainees. Tuina is a form of manual therapy that requires learners to control the location, force, rhythm, and consistency of their hand movements.
A total of 81 rehabilitation trainees will be randomly assigned to one of three training groups: AI-supported personalized feedback, sensor-based data feedback without AI-generated recommendations, or traditional instructor feedback. All groups will receive the same standardized demonstration, training tasks, practice duration, and number of practice sessions.
The main question is whether trainees receiving AI-supported personalized feedback achieve better retention of standardized Tuina skills four weeks after training. The researchers will also compare immediate skill performance, force and rhythm control, transfer of skills to a related task, learning efficiency, self-efficacy, cognitive load, satisfaction, and the safety and acceptability of AI-generated feedback.
Skill performance will be assessed using a blinded Objective Structured Clinical Examination (OSCE) and objective sensor-based measurements. The study activities will be conducted using a mechanical simulation model and a pressure-sensing system, rather than on patients.
Eligibility criteria
Qualifiers
Aged 18 years or older.
Currently enrolled in or receiving training in rehabilitation medicine, physical therapy, rehabilitation therapy, or a related health profession.
Has not previously achieved the predefined competency standard for the standardized Tuina skill evaluated in this study.
Able to understand the study instructions and independently complete the training tasks and study questionnaires.
Disqualifiers
Current acute injury, clinically significant pain, or functional limitation involving the hand, wrist, upper limb, shoulder, neck, or lower back that may interfere with repeated manual skill practice.
Previous systematic training in the same standardized Tuina technique with performance at or above the predefined competency standard.
Any medical, physical, cognitive, or psychological condition that, in the investigator's judgment, may make participation unsafe or prevent valid completion of the study procedures.
Unable to understand the study procedures or provide informed consent.
Trial design
Treatments tested in this trial
- AI-Supported Personalized Feedback
- Sensor-Based Data Feedback
- Traditional Instructor Feedback
Treatment groups
81 Participants
are divided into 3 treatment groupsLocations
Sponsors and collaborators
Zhejiang University
Lead sponsor
First Affiliated Hospital of Zhejiang University
Sponsor institution
Source ClinicalTrials.gov