Clinical trial · Interventional
Effect of AI-Supported Virtual Patient Chatbot Training on Nursing Students' Self-Perceived Clinical Decision-Making and Gynecological Cancer Knowledge
Effect of AI-Supported Virtual Patient Chatbot Training on Nursing Students' Self-Perceived Clinical Decision-Making and Gynecological Cancer Knowledge: A Randomized Controlled Trial
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 26, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260926-000001
Summary
Brief summary (as posted)
This randomized controlled trial evaluated the effects of structured case-based training delivered through an artificial intelligence-supported educational virtual patient chatbot platform on nursing students' gynecological cancer knowledge and self-perceived clinical decision-making. Third-year undergraduate nursing students who had completed the Obstetrics and Gynecology Nursing course were randomly assigned in a 1:1 ratio to an intervention group or an assessment-only wait-list control group. The intervention group completed five AI-supported virtual patient training scenarios during a two-week access period, followed by a common virtual patient assessment. The control group completed the same virtual patient assessment without access to the training scenarios during the study assessment period. Knowledge and self-perceived clinical decision-making were assessed at baseline and immediately after the assigned study procedures. Virtual patient performance was assessed once at the final assessment.
Conditions
Conditions (4)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Chatbot-Based Training | — | UNRESOLVED | — |
| Clinical Decision-making | — | UNRESOLVED | — |
| Gynecologic Cancers | Malignant Female Reproductive System Neoplasm | ALIAS | 0.90 |
| Nursing Education | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| AI-Supported Educational Virtual Patient Chatbot Platform | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- AI-Supported Virtual Patient Chatbot Training Group
- description
- Participants received access to five sequential AI-supported educational virtual patient scenarios addressing cervical, endometrial, ovarian, vulvar, and vaginal cancers. The scenarios were completed during a two-week access period. Participants responded in free text, received immediate individualized formative feedback, and were allowed up to three response attempts per scenario. After completing all five training scenarios, participants completed the common virtual patient assessment and the immediate post-intervention outcome assessments.
- interventionNames
- Other: AI-Supported Educational Virtual Patient Chatbot Platform
- type
- NO_INTERVENTION
- label
- Assessment-Only Wait-List Control Group
- description
- Participants did not receive access to the AI-supported training scenarios during the outcome assessment period. They completed the baseline assessments, the same common virtual patient assessment as the intervention group, and the immediate post-assessment knowledge and clinical decision-making measures. After completing all study outcome assessments, they were granted access to the AI-supported educational scenarios.
Primary outcomes (1)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Enrolled as a third-year undergraduate nursing student. * Successfully completed the Obstetrics and Gynecology Nursing (Women's Health and Diseases Nursing) course. * Volunteered to participate and provided digital informed consent. Exclusion Criteria: \- No additional exclusion criteria.
References
Publications (0)
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