Effects of Concept Mapping and AI Dialogue on Flow and Learning Outcomes in Simulation-Based Learning
NCT07748897 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 168
Last updated 2026-08-06
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.
Conditions
- Nursing Education
- Simulation-Based Learning
Interventions
- OTHER
-
ChatGPT-Assisted Preparation for Pediatric Nursing Simulation
Students watch instructional videos, prepare concept maps, and engage in structured dialogue with ChatGPT before class. They then participate in high-fidelity pediatric nursing simulation, virtual reality learning, and instructor-guided discussion. The preparation activities are intended to improve learning readiness and support efficient participation in class.
- OTHER
-
Standard Preparation for Pediatric Nursing Simulation
Students watch the same instructional videos and prepare concept maps before class but do not engage in structured dialogue with ChatGPT. They then participate in the same high-fidelity pediatric nursing simulation, virtual reality learning, and instructor-guided discussion as the experimental group.
Sponsors & Collaborators
-
Chang Gung University of Science and Technology
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-09-23
- Primary Completion
- 2026-09-30
- Completion
- 2026-09-30
Countries
- Taiwan
Study Locations
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