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

Running, not enrolling · Not applicable

Conditions studied: Nursing Education, Simulation-Based Learning

In brief

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.

Key facts

Study ID
NCT07748897
Run by
Chang Gung University of Science and Technology
People needed
168
Starts
2025-09-23
Expected to finish
2026-09-30
Last updated by the study team
2026-08-06

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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