Clinical trial NCT07010991: Effectiveness of Artificial Intelligence Based Educational Approach in Developing Clinical Reasoning Skills
Official title: Effectiveness of Artificial Intelligence Based Educational Approach in Developing Clinical Reasoning Skills in Physiotherapy Students
Study type: INTERVENTIONAL
Overall status: RECRUITING
Phase: NA
Conditions: Student
Student Engagement
Student Education
Keywords: Student
Education
Artificial intelligence
Decision Making
Lead sponsor: Medipol University
Sponsor class: OTHER
First posted: 2025-06-08
Enrollment: 40
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Intervention model description: A prospective, randomized, controlled educational intervention study to be conducted with the participation of undergraduate students. Participants will be divided into two groups as ChatGPT supported problem-based learning and traditional learning group and will be included in a total of 4 hours of training process on chronic low back pain and rehabilitation, 2 hours per week for 2 weeks. 40 students will be included in the study based on voluntary participation. Basic demographic, academic and technological competence information will be collected from the students who will participate in the study. Collected data will be used to assess equality in comparisons between groups, to define sample characteristics, and to support subgroup analyses when necessary. Students will be divided into small groups of 4-5 people after the initial LBP course and will be asked to study for week and actively participate in the discussion presentations and practice session the following week.
Primary purpose: OTHER

Brief 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.

Detailed description: In recent years, the use of artificial intelligence-based applications in the field of health education has been rapidly increasing; especially large language models such as ChatGPT have attracted attention in terms of providing rapid access to information and individualized learning opportunities. Utilizing this potential of artificial intelligence, especially in active learning methods such as problem-based learning (PBL), is seen as an approach that can strengthen student-centered education. It is reported in the literature that ChatGPT-supported learning applications yield positive results in medical education, increase theoretical success and provide significant improvements in clinical skills. However, applications specific to physiotherapy education are still limited in this regard. Physiotherapy education requires students to have not only theoretical knowledge but also versatile skills such as clinical decision-making, problem-solving, and patient communication. Therefore, it is important to systematically investigate the effect of ChatGPT-supported PBL applications on student performance and satisfaction. Professionals should be able to benefit from these systems when they do not know where to start in a different case, and students should be informed about this issue by academicians who are experts in their fields in the university environment. In order to prevent the misuse of these systems, it is thought that academicians should not avoid technology and should benefit from the interactive course processing and correct communication opportunities that these systems can create with patients. Today, teaching students how to use technology instead of telling them not to use it is very important for academic success. In this context, the aim of this study is to evaluate the student's theoretical knowledge level, clinical decision-making skills and attitudes towards interactive learning with artificial intelligence and compare them with traditional teaching methods by applying the ChatGPT-supported PBL module to volunteer groups consisting of undergraduate students of Istanbul Medipol University, Department of Physiotherapy and Rehabilitation.

Eligibility 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

Primary outcomes:
measure: Theoretical knowledge test
timeFrame: 4 weeks
measure: Mini Clinical Evaluation Exam (Mini-CEX)
timeFrame: 4 weeks
Secondary outcomes:
measure: Student Satisfaction and Attitude Survey
timeFrame: 4 weeks
measure: Young Internet Addiction Test
timeFrame: 4 weeks
measure: Adult Reading Motivation Scale
timeFrame: 4 weeks
measure: Artificial Intelligence Self-Efficacy Scale
timeFrame: 4 weeks
Other outcomes:
Locations:
city: İstanbul
country: Turkey
facility: Medipol University İstanbul
state: Kavacık Beykoz
Study officials:
affiliation: Medipol University İstanbul
name: Gülay ARAS BAYRAM, Associate Professor
role: STUDY_DIRECTOR
References: