Effectiveness of Artificial Intelligence Based Educational Approach in Developing Clinical Reasoning Skills
NCT ID: NCT07010991
Last Updated: 2025-06-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
40 participants
INTERVENTIONAL
2025-05-14
2025-09-10
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
OTHER
DOUBLE
Study Groups
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ChatGPT supported problem-based learning
Students will be divided into small groups of 4-5 after the initial educative course of low back pain (LBP) by a different instructor. Afterwards, each group will work on chronic LBP case scenarios combined with ChatGPT. Students will engage in discussions on interactive learning, physical development planning, exercise recommendations, and biopsychosocial treatment development with ChatGPT.
Data obtained from ChatGPT will be reviewed by the instructor for academic accuracy. Students will be actively involved in the discussion presentation and practice session. During the course, question sets created by students and answers obtained from ChatGPT are discussed within the group, prepared for class presentation and feedback is given by the instructor in terms of accuracy, timeliness and scientific relevance.
AI based clinical problem solving education
This direct involvement of AI and educators aims to improve learning outcomes by leveraging the scalability of AI and the expertise of educators. The question sets created by students and the answers obtained from ChatGPT are discussed within the group and prepared for class presentation, and the instructor provides feedback on accuracy, timeliness, and scientific relevance. This process aims to support students' participation as active questioners and analyzers, rather than passive consumers of information. Intervention will last for 2 weeks, 2 hours of courses each week, in total 4 hours of education will be given. First 2 hours will be the usage parameters and the knowledge about the ChatGPT system and the 2nd week's 2 hours of education will include the presentations and interactive discussion about the case.
Traditional learning group
Students will watch classical case presentations structured by the instructor and will passively/actively participate in discussions conducted on the case. Information transfer will be instructor-centered, ChatGPT or similar AI-supported tools will not be used in this group. Physical assessment and exercise practices will be carried out with the instructor's direct demonstration and students will take turns in the roles of practitioners or observers. Both groups will be provided with basic resource book chapters, videos and supporting materials on a weekly basis. The lessons will be conducted by an experienced physiotherapist academic and the groups will work with different instructor. Physical assessment and exercise practices will be carried out with the direct demonstration of the instructor, and students will take turns in the roles of practitioners and observers.
Traditional Low Back Pain Education
The first session will be given by an independent/different instructor about the definition, reasons, evaluation and the treatment of low back pain for 2 hours. Afterwards the students will be informed about the content of the next week's interactive course and supplied with the study sources like book, articles by the other lecturer. A week will be given to the students to study and the other week they will meet with the lecturer to discuss over a specific case. At the beginning and end of the courses, outcome measures will taken from the both groups.
Interventions
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AI based clinical problem solving education
This direct involvement of AI and educators aims to improve learning outcomes by leveraging the scalability of AI and the expertise of educators. The question sets created by students and the answers obtained from ChatGPT are discussed within the group and prepared for class presentation, and the instructor provides feedback on accuracy, timeliness, and scientific relevance. This process aims to support students' participation as active questioners and analyzers, rather than passive consumers of information. Intervention will last for 2 weeks, 2 hours of courses each week, in total 4 hours of education will be given. First 2 hours will be the usage parameters and the knowledge about the ChatGPT system and the 2nd week's 2 hours of education will include the presentations and interactive discussion about the case.
Traditional Low Back Pain Education
The first session will be given by an independent/different instructor about the definition, reasons, evaluation and the treatment of low back pain for 2 hours. Afterwards the students will be informed about the content of the next week's interactive course and supplied with the study sources like book, articles by the other lecturer. A week will be given to the students to study and the other week they will meet with the lecturer to discuss over a specific case. At the beginning and end of the courses, outcome measures will taken from the both groups.
Eligibility Criteria
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Inclusion Criteria
* Being voluntary to attend to the courses
Exclusion Criteria
* 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
ALL
Yes
Sponsors
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Medipol University
OTHER
Responsible Party
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Simay Akdemir
MSc. Lecturer Physical Therapist
Principal Investigators
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Gülay ARAS BAYRAM, Associate Professor
Role: STUDY_DIRECTOR
Medipol University İstanbul
Locations
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Medipol University İstanbul
Istanbul, Kavacık Beykoz, Turkey (Türkiye)
Countries
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Central Contacts
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Facility Contacts
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References
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Ergezen Sahin G, Aras Bayram G, Sanchez Sierra A, Akdemir S, Kurc D, Tarakci D, Tunali AN. Effects of artificial intelligence based physiotherapy educational approach in developing clinical reasoning skills: a randomized controlled trial. BMC Med Educ. 2025 Oct 9;25(1):1378. doi: 10.1186/s12909-025-07926-w.
Other Identifiers
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MedipolU-SBF-FTR-SA-01
Identifier Type: -
Identifier Source: org_study_id
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