Clinical Trial

Effects of Concept Mapping and AI Dialogue on Flow and Learning Outcomes in Simulation-Based Learning

Active, Not Recruiting
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Summary
This mixed-methods educational study evaluates the integration of concept mapping and artificial intelligence (AI)-supported dialogue into simulation-based learning for nursing students. The learning activities include structured pre-class preparation, concept mapping, AI-supported dialogue using ChatGPT, and participation in simulated clinical scenarios. The study examines students' flow experience, defined as a state of focused engagement, and their learning outcomes. Quantitative assessments are used to examine critical thinking, self-efficacy, communication skills, and other learning outcomes specified in the study protocol. Interviews and observations are used to explore students' learning processes and experiences. The study also examines whether individual characteristics, including openness and self-efficacy, are associated with learning practices, flow experience, and learning outcomes.
Trial Details
NCT Number NCT07748897
Lead Sponsor Chang Gung University of Science and Technology
Conditions Nursing Education, Simulation-Based Learning
Enrollment 168 participants
Start Date 2025-09-23
Primary Completion 2026-09-30 (estimated)
Study Completion 2026-09-30 (estimated)
Updated on ClinicalTrials.gov 2026-08-06