This randomized controlled trial aims to determine the effect of an artificial intelligence (AI)-supported educational chatbot (OSCE Coach Platform) on nursing students' knowledge of gynecologic cancers and their self-reported clinical decision-making skills. Third-year undergraduate nursing students will be randomized into either an intervention group, utilizing the AI-supported chatbot, or a control group, receiving conventional education. Both groups will be assessed before and after the intervention.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Enrollment
110
A custom web-based educational platform combining AI-supported virtual patient interaction with standardized case scenarios, predefined clinical tasks, and immediate rubric-based feedback.
Sakarya University
Sakarya, Turkey, Turkey (Türkiye)
Change in Clinical Decision Making in Nursing Scale-Turkish Version (CDMNS-Tr) Score
The CDMNS-Tr is a 40-item scale assessing self-reported clinical decision-making. Items are rated on a 5-point Likert scale ranging from 1 (never) to 5 (always), with eighteen negatively worded items being reverse-scored. Total scores range from 40 to 200, with higher scores indicating a higher self-perception of clinical decision-making abilities.
Time frame: Baseline (Day 1, before the assigned study procedures) and immediately after completion of the assigned study procedures on Day 1.
Change in Gynecological Oncology Knowledge Test Score
A 15-item multiple-choice test developed to evaluate cognitive learning outcomes regarding gynecological oncology and nursing care. Each correct answer is awarded 1 point, while incorrect or blank answers receive 0 points. Total scores range from 0 to 15, with higher scores indicating a higher level of knowledge.
Time frame: Baseline (Day 1, before the assigned study procedures) and immediately after completion of the assigned study procedures on Day 1.
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