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Effects of AI Dialogue-Based Scenario Simulation on Students' Flow and Learning Performance

StatusNot Yet Recruiting
PhaseNot applicable
Started
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Record History

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  1. Secondary endpoints: details revised at 1 of 1 entry
    • Eligibility criteria expanded, about 3 words
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
This study examines the effects of an AI dialogue-based scenario simulation integrated with concept mapping and post-dialogue feedback on nursing students' learning. Nursing students will participate in pediatric care scenarios using standardized AI-supported dialogues. Two feedback approaches will be compared: gamified feedback and conventional formative feedback without gamification elements. The study will examine students' flow experience and learning performance and explore how collaborative processes and interaction mechanisms may contribute to these outcomes. The findings are expected to provide evidence on how different feedback approaches influence students' engagement and learning during AI-supported scenario simulation.
Trial Details
NCT Number NCT07825077
Lead Sponsor Chang Gung University of Science and Technology
Conditions
(from sponsor)		 Nursing Education
Enrollment 91 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov