Clinical reasoning performance Medical education AI-assisted learning Artificial Intelligence ChatGPT Clinical Reasoning Medical Students Education, Medical Educational Technology Information Retrieval Decision Making
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: 1.Second-year medical students enrolled at the Faculty of Medicine, Kasetsart University 2. Attendance in scheduled study sessions during the study period 3. Ability to use online search tools and AI platforms 4. Provide written informed consent
Exclusion criteria
Exclusion criteria: 1. Students who decline to provide informed consent 2. Students absent during either study phase 3. Incomplete participation in assigned intervention sessions
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| ClinicalReasoningScore Immediately after completion of each intervention phase (end of Phase 1 and end of Phase 2) A standardized scoring rubric, assessed after each phase.,SelfPerceivedUnderstanding After last intervention phase Likert-scale questionnaire on perceived understanding of the case content | — |
Secondary
| Measure | Time frame |
|---|---|
| KnowledgeTestScore Immediately after each intervention phase Score from a structured multiple-choice knowledge test based on the study cases | — |
Countries
Thailand
Contacts
Faculty of Medicine, Kasetsart University