Effectiveness of Artificial Intelligence Based Educational Approach in Developing Clinical Reasoning Skills
NCT07010991 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 40
Last updated 2025-06-08
Summary
In the context of this study, the 2nd and 3rd grade undergraduate students in Medipol University, Department of Physiotherapy and Rehabilitation, will taken into an education program to increase and assess their theoretical knowledge level, clinical decision-making skills and attitudes towards interactive learning with artificial intelligence by applying the ChatGPT-supported PBL module and the results will be compared with traditional teaching methods.
Conditions
- Student
- Student Engagement
- Student Education
Interventions
- OTHER
-
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.
- OTHER
-
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.
Sponsors & Collaborators
-
Medipol University
lead OTHER
Principal Investigators
-
Gülay ARAS BAYRAM, Associate Professor · Medipol University İstanbul
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-05-14
- Primary Completion
- 2025-08-31
- Completion
- 2025-09-10
Countries
- Turkey (Türkiye)
Study Locations
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