ChatGPT-supported problem-based learning to build physiotherapy clinical reasoning
Official title: Effectiveness of Artificial Intelligence Based Educational Approach in Developing Clinical Reasoning Skills in Physiotherapy Students
Run by Medipol University · NCT07010991 · Data updated 2026-11-12
This project will test whether ChatGPT-supported problem-based learning helps 2nd- and 3rd-year physiotherapy students improve clinical reasoning, theoretical knowledge, and attitudes compared with traditional teaching.
Quick facts
| Study type | Interventional |
|---|---|
| Sex | All |
| Enrollment | 40 (estimated) |
| Sponsor | Medipol University Academic / other |
| Locations | 1 site (Istanbul, Kavacık Beykoz) |
| Status | Recruiting |
| Started | May 14, 2025 |
| Main results expected | August 31, 2025 |
| Study ends | September 10, 2025 |
| Registry record updated | June 8, 2025 |
| Trial ID | NCT07010991 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal participants are volunteer 2nd- or 3rd-year undergraduate physiotherapy students at Medipol University who can attend scheduled sessions.
✕Probably not a fit
Students who have already completed clinical problem-solving training (4th-year students), those unable to attend sessions on time, or non-undergraduate learners are unlikely to benefit from this intervention.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
At Medipol University, 2nd- and 3rd-year undergraduate physiotherapy students will be assigned to either a ChatGPT-supported problem-based learning (PBL) module or a traditional low back pain education program. The AI-supported arm uses ChatGPT to generate case prompts, offer feedback, and personalize learning during interactive PBL sessions while the control arm follows standard instructional methods. Outcomes measured before and after the intervention include theoretical knowledge tests, structured clinical decision-making assessments, and learner attitudes toward interactive AI learning. Results from both groups will be compared to determine differences in skills and satisfaction.
Why it matters
Potential benefit: If successful, this approach could produce physiotherapists with stronger clinical decision-making and patient-care skills, potentially improving future patient outcomes.
How similar studies have gone: Prior medical education studies using ChatGPT and other large language models have reported improvements in knowledge and learner satisfaction, but similar evidence specifically in physiotherapy education is limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Being an undergraduate student * Being voluntary to attend to the courses Exclusion Criteria: * Not attending to the sessions on time * Being a 4th grade student who already took and learned the process of clinical problem solving * Want to recruit to study during the study process
Where it's running
-
Medipol University İstanbul
Istanbul, Kavacık Beykoz, Turkey (Türkiye) Recruiting
Study contacts
- Study coordinator: Simay AKDEMİR, MSc./Lec.
- Email: simay.akdemir@medipol.edu.tr
- Phone: +905347032126
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.